+96 -77

app/components/AnalyzeComponent.js

reviewed

··· 10 10 Button, 11 11 Checkbox, 12 12 Transition, 13 13 - Container 13 13 + Container, 14 14 + Sidebar 14 15 } from 'semantic-ui-react'; 15 16 import { isNil } from 'lodash'; 16 17 import Plot from 'react-plotly.js'; ··· 31 32 import SecondaryNavComponent from './SecondaryNavComponent'; 32 33 import ClickableHeadDiagramSVG from './svgs/ClickableHeadDiagramSVG'; 33 34 import JupyterPlotWidget from './JupyterPlotWidget'; 34 34 - 35 35 + import HelpSidebar from './CollectComponent/HelpSidebar'; 35 36 36 37 const ANALYZE_STEPS = { 37 38 OVERVIEW: 'OVERVIEW', ··· 68 69 selectedDependentVariable: string; 69 70 removeOutliers: boolean; 70 71 showDataPoints: boolean; 71 71 - displayInfoVisible: boolean; 72 72 + isSidebarVisible: boolean; 72 73 displayOutlierVisible: boolean; 73 74 displayMode: string; 75 75 + helpMode: string; 74 76 dependentVariables: Array<?{ 75 77 key: string, 76 78 text: string, ··· 93 95 saveSelectedDatasets: () => void; 94 96 handleStepClick: (Object, Object) => void; 95 97 toggleDisplayInfoVisibility: () => void; 96 96 - toggleOutlierInfoVisibility: () => void; 97 98 98 99 constructor(props: Props) { 99 100 super(props); ··· 107 108 selectedDependentVariable: '', 108 109 removeOutliers: false, 109 110 showDataPoints: false, 110 110 - displayInfoVisible: false, 111 111 + isSidebarVisible: false, 111 112 displayOutlierVisible: false, 112 113 displayMode: 'datapoints', 114 114 + helpMode: 'datapoints', 113 115 selectedFilePaths: [], 114 116 selectedSubjects: [], 115 117 selectedChannel: ··· 128 130 this.handleStepClick = this.handleStepClick.bind(this); 129 131 this.handleDropdownClick = this.handleDropdownClick.bind(this); 130 132 this.toggleDisplayInfoVisibility = this.toggleDisplayInfoVisibility.bind(this); 131 131 - this.toggleOutlierInfoVisibility = this.toggleOutlierInfoVisibility.bind(this); 132 133 } 133 134 134 135 async componentDidMount() { ··· 223 224 this.setState({ 224 225 removeOutliers: !this.state.removeOutliers, 225 226 dataToPlot: dataToPlot, 226 226 - layout: layout 227 227 + layout: layout, 228 228 + helpMode: 'outliers' 227 229 }); 228 230 } 229 231 ··· 244 246 245 247 handleDisplayModeChange(displayMode){ 246 248 if(this.state.selectedFilePaths && this.state.selectedFilePaths.length > 0){ 247 247 - console.log("displayMode", displayMode) 248 249 const { dataToPlot, layout } = aggregateDataForPlot( 249 250 readBehaviorData(this.state.selectedFilePaths), 250 251 this.state.selectedDependentVariable, ··· 255 256 this.setState({ 256 257 dataToPlot: dataToPlot, 257 258 layout: layout, 258 258 - displayMode: displayMode 259 259 + displayMode: displayMode, 260 260 + helpMode: displayMode, 259 261 }); 260 262 } 261 263 } 262 264 263 265 toggleDisplayInfoVisibility(){ 264 266 this.setState({ 265 265 - displayInfoVisible: !this.state.displayInfoVisible 266 266 - }); 267 267 - } 268 268 - 269 269 - toggleOutlierInfoVisibility(){ 270 270 - this.setState({ 271 271 - displayOutlierVisible: !this.state.displayOutlierVisible 267 267 + isSidebarVisible: !this.state.isSidebarVisible 272 268 }); 273 269 } 274 270 ··· 312 308 return <div />; 313 309 } 314 310 311 311 + renderHelpContent() { 312 312 + switch (this.state.helpMode) { 313 313 + case 'datapoints': 314 314 + return this.renderHelp( 315 315 + 'Data Points', 316 316 + `In this graph, each dot refers to one data point, clustered by group (e.g., conditions). 317 317 + It’s the most “neutral” way of presenting the data, of course, but it may be difficult to see any patterns. 318 318 + Why is it always a good idea to look at all your datapoints before interpreting any trends in the data?` 319 319 + ); 320 320 + case 'errorbars': 321 321 + return this.renderHelp( 322 322 + 'Bar Graph', 323 323 + `Bar graphs are the most common way to summarize data. 324 324 + It allows you to compare mean values between groups of datapoints (e.g., conditions), 325 325 + and the error bars give some indication of the variance (here: the standard error of the mean). 326 326 + Importantly, this way of summarizing data assumes that the mean is in fact representative of the data. 327 327 + Many researchers have veered away from bar graphs because they can be deceptive, especially without error bars. 328 328 + Can you think of any such cases?` 329 329 + ); 330 330 + case 'whiskers': 331 331 + return this.renderHelp( 332 332 + 'Box Plot', 333 333 + `Box plots summarize the data in a more informative way: 334 334 + they actually tell you something about the distribution of datapoints within a group, 335 335 + by taking the median as its reference point instead of the mean 336 336 + (the median is the “middle” point in a dataset after sorting it from the lowest to the highest value). 337 337 + The boxes represent so-called “quartiles” which are cut off at the value right between the median and the smallest value or highest value in the dataset. 338 338 + The lines (“whiskers”) show how much variability there is in the data outside of those quartiles; 339 339 + any outliers are shown as individual points. Can you go through each plot and describe exactly what you see? 340 340 + When you toggle between this view and the bar graph view, do the data look very different?` 341 341 + ); 342 342 + case 'outliers': 343 343 + default: 344 344 + return this.renderHelp( 345 345 + 'Outliers', 346 346 + `A datapoint is tagged as an “outlier” if its value exceeds 2 standard deviations below or above the mean of all data in the group. 347 347 + If a datapoint is unusually high or low (it “deviates”) compared to the rest of the group, 348 348 + it is likely a special case that doesn’t tell us anything informative about the group as a whole. 349 349 + Removing such outliers can help unskew the data. What might outliers mean in your dataset? 350 350 + Can you think of any other cases where identifying outliers can be helpful?` 351 351 + ); 352 352 + } 353 353 + } 354 354 + 355 355 + 356 356 + renderHelp(header: string, content: string) { 357 357 + return ( 358 358 + <React.Fragment> 359 359 + <Segment basic className={styles.helpContent}> 360 360 + <Button 361 361 + circular 362 362 + size="large" 363 363 + floated="right" 364 364 + icon="x" 365 365 + className={styles.closeButton} 366 366 + onClick={this.toggleDisplayInfoVisibility} 367 367 + /> 368 368 + <Header className={styles.helpHeader} as="h1"> 369 369 + {header} 370 370 + </Header> 371 371 + {content} 372 372 + </Segment> 373 373 + </React.Fragment> 374 374 + ); 375 375 + } 376 376 + 315 377 renderSectionContent() { 316 378 switch (this.state.activeStep) { 317 379 case ANALYZE_STEPS.OVERVIEW: ··· 455 517 label="Remove outliers" 456 518 onChange={this.handleRemoveOutliers} 457 519 /> 458 458 - <Button className='export' 459 459 - onClick={this.toggleOutlierInfoVisibility} 460 460 - > 461 461 - <Icon name="info circle" /> 462 462 - </Button> 463 463 - 464 464 - <p></p> 465 465 - <Transition visible={this.state.displayOutlierVisible} animation='horizontal flip' duration={500}> 466 466 - <Container> 467 467 - <p className="info"> 468 468 - A datapoint is tagged as an “outlier” if its value exceeds 2 standard deviations below or above the mean of all data in the group. 469 469 - If a datapoint is unusually high or low (it “deviates”) compared to the rest of the group, 470 470 - it is likely a special case that doesn’t tell us anything informative about the group as a whole. 471 471 - Removing such outliers can help unskew the data. What might outliers mean in your dataset? 472 472 - Can you think of any other cases where identifying outliers can be helpful? 473 473 - </p> 474 474 - </Container> 475 475 - </Transition> 476 520 477 521 <p></p> 478 522 <Button.Group> ··· 497 541 > 498 542 Box Plot 499 543 </Button> 544 544 + 500 545 </Button.Group> 501 546 502 502 - <Button className='export' 547 547 + <Button 548 548 + circular 549 549 + icon="question" 550 550 + className={styles.helpButton} 551 551 + floated="right" 503 552 onClick={this.toggleDisplayInfoVisibility} 504 504 - > 505 505 - <Icon name="info circle" /> 506 506 - </Button> 553 553 + /> 507 554 508 508 - <p></p> 509 509 - <Transition visible={this.state.displayInfoVisible && this.state.displayMode === 'datapoints'} animation='horizontal flip' duration={500}> 510 510 - <Container> 511 511 - <p className="info"> 512 512 - In this graph, each dot refers to one data point, clustered by group (e.g., conditions). 513 513 - It’s the most “neutral” way of presenting the data, of course, but it may be difficult to see any patterns. 514 514 - Why is it always a good idea to look at all your datapoints before interpreting any trends in the data? 515 515 - </p> 516 516 - </Container> 517 517 - </Transition> 555 555 + <Sidebar 556 556 + width="wide" 557 557 + direction="right" 558 558 + as={Segment} 559 559 + visible={this.state.isSidebarVisible} 560 560 + > 561 561 + <Segment basic padded vertical className={styles.helpSidebar}> 562 562 + {this.renderHelpContent()} 563 563 + </Segment> 564 564 + </Sidebar> 565 565 + </Segment> 518 566 519 519 - <Transition visible={this.state.displayInfoVisible && this.state.displayMode === 'errorbars'} animation='horizontal flip' duration={500}> 520 520 - <Container> 521 521 - <p className="info"> 522 522 - Bar graphs are the most common way to summarize data. 523 523 - It allows you to compare mean values between groups of datapoints (e.g., conditions), 524 524 - and the error bars give some indication of the variance (here: the standard error of the mean). 525 525 - Importantly, this way of summarizing data assumes that the mean is in fact representative of the data. 526 526 - Many researchers have veered away from bar graphs because they can be deceptive, especially without error bars. 527 527 - Can you think of any such cases? 528 528 - </p> 529 529 - </Container> 530 530 - </Transition> 531 531 - 532 532 - <Transition visible={this.state.displayInfoVisible && this.state.displayMode === 'whiskers'} animation='horizontal flip' duration={500}> 533 533 - <Container> 534 534 - <p className="info"> 535 535 - Box plots summarize the data in a more informative way: 536 536 - they actually tell you something about the distribution of datapoints within a group, 537 537 - by taking the median as its reference point instead of the mean 538 538 - (the median is the “middle” point in a dataset after sorting it from the lowest to the highest value). 539 539 - The boxes represent so-called “quartiles” which are cut off at the value right between the median and the smallest value or highest value in the dataset. 540 540 - The lines (“whiskers”) show how much variability there is in the data outside of those quartiles; 541 541 - any outliers are shown as individual points. Can you go through each plot and describe exactly what you see? 542 542 - When you toggle between this view and the bar graph view, do the data look very different? 543 543 - </p> 544 544 - </Container> 545 545 - </Transition> 546 546 - 547 547 - </Segment> 548 567 </Grid.Column> 549 568 </Grid> 550 569 );

+4 -3

app/components/CollectComponent/RunComponent.js

reviewed

··· 4 4 import { Experiment, jsPsych } from 'jspsych-react'; 5 5 import { debounce } from 'lodash'; 6 6 import { Link } from 'react-router-dom'; 7 7 - import Mousetrap from 'mousetrap'; 7 7 + // import Mousetrap from 'mousetrap'; 8 8 import styles from '../styles/common.css'; 9 9 import InputModal from '../InputModal'; 10 10 import { injectEmotivMarker } from '../../utils/eeg/emotiv'; ··· 70 70 if (this.props.mainTimeline.length <= 0) { 71 71 this.props.experimentActions.loadDefaultTimeline(); 72 72 } 73 73 - Mousetrap.bind('esc', jsPsych.endCurrentTimeline); 73 73 + // Mousetrap.bind('esc', jsPsych.endCurrentTimeline); 74 74 } 75 75 76 76 componentWillUnmount() { 77 77 - Mousetrap.unbind('esc'); 77 77 + // Mousetrap.unbind('esc'); 78 78 } 79 79 80 80 handleSubjectEntry(event: Object, data: Object) { ··· 175 175 } 176 176 return ( 177 177 <ExperimentWindow settings={{ 178 178 + script: this.props.type, 178 179 on_finish: (csv) => { 179 180 this.props.experimentActions.stop({data: csv}); 180 181 }

+16 -27

app/components/HomeComponent/OverviewComponent.js

reviewed

··· 1 1 import React, { Component } from 'react'; 2 2 import { Grid, Header, Button, Segment } from 'semantic-ui-react'; 3 3 + import { isNil } from 'lodash'; 3 4 import styles from '../styles/common.css'; 4 5 import { EXPERIMENTS } from '../../constants/constants'; 5 6 import SecondaryNavComponent from '../SecondaryNavComponent'; ··· 35 36 }; 36 37 this.handleStepClick = this.handleStepClick.bind(this); 37 38 this.handlePreview = this.handlePreview.bind(this); 39 39 + this.endPreview = this.endPreview.bind(this); 38 40 } 39 41 40 42 handleStepClick(step: string) { ··· 43 45 44 46 handlePreview() { 45 47 this.setState({ isPreviewing: !this.state.isPreviewing }); 48 48 + } 49 49 + 50 50 + endPreview() { 51 51 + this.setState({ isPreviewing: false }); 46 52 } 47 53 48 54 renderSectionContent() { ··· 52 58 <Grid relaxed padded className={styles.contentGrid}> 53 59 <Grid.Column 54 60 stretched 55 55 - width={6} 61 61 + width={10} 56 62 textAlign="right" 57 63 verticalAlign="middle" 58 64 className={styles.jsPsychColumn} ··· 60 66 <PreviewExperimentComponent 61 67 {...loadTimeline(this.props.type)} 62 68 isPreviewing={this.state.isPreviewing} 69 69 + onEnd={this.endPreview} 70 70 + type={this.props.type} 63 71 /> 64 72 </Grid.Column> 65 65 - <Grid.Column width={6} verticalAlign="middle"> 66 66 - <p> 67 67 - Subjects will view a series of images of{' '} 68 68 - <b> faces and houses</b> for <b>120 seconds</b> 69 69 - </p> 70 70 - <p> 71 71 - Subjects will mentally note which stimulus they are perceiving 72 72 - </p> 73 73 + <Grid.Column stretched width={6} verticalAlign="middle"> 74 74 + <Segment as="p" basic> 75 75 + {this.props.protocol} 76 76 + </Segment> 73 77 <PreviewButton 74 78 isPreviewing={this.state.isPreviewing} 75 79 onClick={this.handlePreview} ··· 86 90 textAlign="right" 87 91 verticalAlign="middle" 88 92 > 89 89 - <Header as="h1">The N170 ERP</Header> 93 93 + <Header as="h1">{this.props.background_title}</Header> 90 94 </Grid.Column> 91 95 <Grid.Column stretched width={6} verticalAlign="middle"> 92 96 <Segment as="p" basic> 93 93 - The N170 is a large negative event-related potential (ERP) 94 94 - component that occurs after the detection of faces, but not 95 95 - objects, scrambled faces, or other body parts such as hands. The 96 96 - N170 occurs around 170ms after face perception and is most 97 97 - easily detected at lateral posterior electrodes such as T5 and 98 98 - T6. Frontal or profile views of human (and animal) faces elicit 99 99 - the strongest N170 and the strength of the N170 does not seem to 100 100 - be influenced by how familiar a face is. Thus, although there is 101 101 - no consensus on the specific source of the N170, researchers 102 102 - believe it is related to activity in the fusiform face area, an 103 103 - area of the brain that shows a similar response pattern and is 104 104 - involved in encoding the holistic representation of a face (i.e 105 105 - eyes, nose mouth all arranged in the appropriate way). 97 97 + {this.props.background} 106 98 </Segment> 107 99 </Grid.Column> 108 100 </Grid> ··· 121 113 </Grid.Column> 122 114 <Grid.Column stretched width={6} verticalAlign="middle"> 123 115 <Segment as="p" basic> 124 124 - Faces contain a lot of information that is relevant to our 125 125 - survival. It 126 126 - {"'"}s important to be able to quickly recognize people you can 127 127 - trust and read emotions in both strangers and people you know 116 116 + {this.props.overview} 128 117 </Segment> 129 118 </Grid.Column> 130 119 </Grid>

+55 -6

app/components/HomeComponent/index.js

reviewed

··· 16 16 import InputModal from '../InputModal'; 17 17 import SecondaryNavComponent from '../SecondaryNavComponent'; 18 18 import OverviewComponent from './OverviewComponent'; 19 19 + import { loadTimeline } from '../../utils/jspsych/functions'; 19 20 20 21 const HOME_STEPS = { 21 22 RECENT: 'RECENT', ··· 190 191 </Button> 191 192 </Segment> 192 193 </Grid.Column> 193 193 - {/* <Grid.Column> 194 194 + <Grid.Column> 194 195 <Segment basic className={styles.descriptionContainer}> 195 195 - <Image size="huge" src={faceHouseIcon} /> 196 196 + <Image src={faceHouseIcon} /> 196 197 <Header as="h1">Stroop</Header> 197 198 <p> 198 199 Investigate the cognitive process of selective attention with ··· 200 201 subject to name the color of a word instead of reading the 201 202 word itself. 202 203 </p> 203 203 - <Button disabled secondary> 204 204 + <Button 205 205 + secondary 206 206 + onClick={() => this.handleOpenOverview(EXPERIMENTS.STROOP)} 207 207 + > 204 208 Review 209 209 + </Button> 210 210 + <Button secondary> 211 211 + Customize 205 212 </Button> 206 213 <Button 207 207 - disabled 208 214 primary 209 215 onClick={() => this.handleNewExperiment(EXPERIMENTS.STROOP)} 210 216 > 211 217 Start Experiment 212 218 </Button> 213 213 - </Segment> */} 214 214 - {/* </Grid.Column> */} 219 219 + </Segment> 220 220 + </Grid.Column> 221 221 + <Grid.Column> 222 222 + <Segment basic className={styles.descriptionContainer}> 223 223 + <Image src={faceHouseIcon} /> 224 224 + <Header as="h1">Multi-tasking</Header> 225 225 + <p> 226 226 + The multi-tasking test 227 227 + </p> 228 228 + <Button 229 229 + secondary 230 230 + onClick={() => this.handleOpenOverview(EXPERIMENTS.MULTI)} 231 231 + > 232 232 + Review 233 233 + </Button> 234 234 + <Button 235 235 + primary 236 236 + onClick={() => this.handleNewExperiment(EXPERIMENTS.MULTI)} 237 237 + > 238 238 + Start Experiment 239 239 + </Button> 240 240 + </Segment> 241 241 + </Grid.Column> 242 242 + <Grid.Column> 243 243 + <Segment basic className={styles.descriptionContainer}> 244 244 + <Image src={faceHouseIcon} /> 245 245 + <Header as="h1">Attention</Header> 246 246 + <p> 247 247 + The visual search task 248 248 + </p> 249 249 + <Button 250 250 + secondary 251 251 + onClick={() => this.handleOpenOverview(EXPERIMENTS.SEARCH)} 252 252 + > 253 253 + Review 254 254 + </Button> 255 255 + <Button 256 256 + primary 257 257 + onClick={() => this.handleNewExperiment(EXPERIMENTS.SEARCH)} 258 258 + > 259 259 + Start Experiment 260 260 + </Button> 261 261 + </Segment> 262 262 + </Grid.Column> 215 263 <Grid.Column> 216 264 <Segment basic className={styles.descriptionContainer}> 217 265 <Image src={customIcon} /> ··· 237 285 if (this.state.isOverviewComponentOpen) { 238 286 return ( 239 287 <OverviewComponent 288 288 + {...loadTimeline(this.state.overviewExperimentType)} 240 289 type={this.state.overviewExperimentType} 241 290 onStartExperiment={this.handleNewExperiment} 242 291 onCloseOverview={this.handleCloseOverview}

+21 -12

app/components/PreviewExperimentComponent.js

reviewed

··· 4 4 import { Segment } from 'semantic-ui-react'; 5 5 import callbackHTMLDisplay from '../utils/jspsych/plugins/callback-html-display'; 6 6 import callbackImageDisplay from '../utils/jspsych/plugins/callback-image-display'; 7 7 + import { ExperimentWindow } from '../utils/labjs'; 8 8 + 7 9 import { 8 10 parseTimeline, 9 11 instantiateTimeline, ··· 62 64 return <Segment basic />; 63 65 } 64 66 return ( 65 65 - <Experiment 66 66 - settings={{ 67 67 - timeline: this.handleTimeline(), 68 68 - show_progress_bar: this.props.params.showProgessBar, 69 69 - auto_update_progress_bar: false, 70 70 - preload_images: this.handleImages() 71 71 - }} 72 72 - plugins={{ 73 73 - 'callback-image-display': callbackImageDisplay, 74 74 - 'callback-html-display': callbackHTMLDisplay 75 75 - }} 76 76 - /> 67 67 + <ExperimentWindow 68 68 + settings={{ 69 69 + script: this.props.type, 70 70 + on_finish: (csv) => { 71 71 + this.props.onEnd() 72 72 + } 73 73 + }} /> 74 74 + // <Experiment 75 75 + // settings={{ 76 76 + // timeline: this.handleTimeline(), 77 77 + // show_progress_bar: this.props.params.showProgessBar, 78 78 + // auto_update_progress_bar: false, 79 79 + // preload_images: this.handleImages() 80 80 + // }} 81 81 + // plugins={{ 82 82 + // 'callback-image-display': callbackImageDisplay, 83 83 + // 'callback-html-display': callbackHTMLDisplay 84 84 + // }} 85 85 + // /> 77 86 ); 78 87 } 79 88 }

+22

app/components/styles/common.css

reviewed

··· 79 79 80 80 .jsPsychColumn { 81 81 height: 100%; 82 82 + align-items: center; 82 83 } 83 84 84 85 .paramSlider { ··· 96 97 .analyzeColumn { 97 98 height: 100%; 98 99 } 100 100 + 101 101 + .helpButton { 102 102 + height: 44px !important; 103 103 + width: 44px !important; 104 104 + color: #fff !important; 105 105 + background-color: #007c70 !important; 106 106 + border-radius: 22px !important; 107 107 + } 108 108 + 109 109 + .helpSidebar { 110 110 + height: inherit; 111 111 + } 112 112 + 113 113 + .helpHeader { 114 114 + margin-bottom: 18px !important; 115 115 + } 116 116 + 117 117 + .helpContent { 118 118 + font-size: 18px !important; 119 119 + height: 80%; 120 120 + }

+2

app/constants/constants.js

reviewed

··· 4 4 N170: 'Faces and Houses', 5 5 SSVEP: 'Steady-state Visual Evoked Potential', 6 6 STROOP: 'Stroop Task', 7 7 + MULTI: 'Multi-tasking', 8 8 + SEARCH: 'Visual search', 7 9 CUSTOM: 'Custom' 8 10 }; 9 11

+1 -1

app/reducers/experimentReducer.js

reviewed

··· 49 49 subject: '', 50 50 session: 1, 51 51 isRunning: false, 52 52 - isEEGEnabled: true, 52 52 + isEEGEnabled: false, 53 53 description: { question: '', hypothesis: '', methods: '' } 54 54 }; 55 55

+42 -25

app/utils/behavior/compute.js

reviewed

··· 15 15 let rtMean = {}, accuracyPercent = {}; 16 16 for(let condition of conditions){ 17 17 let rt = e 18 18 + .filter(row => row.response_given === 'yes') 19 19 + .filter(row => row.correct_response === 'true') 18 20 .filter(row => row.condition === condition) 19 21 .map(row => row.reaction_time) 20 22 .map(value => parseFloat(value)) 21 21 - rtMean[condition] = ss.mean(rt); 23 23 + rtMean[condition] = Math.round(ss.mean(rt)); 22 24 let accuracy = e 23 23 - .filter(row => row.condition === condition && row.correct) 24 24 - .map(row => row.correct) 25 25 - accuracyPercent[condition] = accuracy.length ? accuracy.length / 0.75 : ss.mean(e.filter(r => r.condition === condition).map(r => r.accuracy)); 25 25 + .filter(row => row.condition === condition && row.correct_response === 'true' && row.response_given === 'yes') 26 26 + accuracyPercent[condition] = accuracy.length ? Math.round(100 * (accuracy.length / e.filter(r => r.condition === condition ).length)) : ss.mean(e.filter(r => r.condition === condition).map(r => r.accuracy)); 26 27 } 27 28 return { 28 29 subject: e.map(r => r.subject)[0], ··· 31 32 ['RT_' + conditions[1]]: rtMean[conditions[1]], 32 33 ['Accuracy_' + conditions[0]]: accuracyPercent[conditions[0]], 33 34 ['Accuracy_' + conditions[1]]: accuracyPercent[conditions[1]], 35 35 + response_given: 'yes', 36 36 + correct_response: 'true' 34 37 } 35 38 }) 36 39 return aggregatedData; ··· 67 70 condition: condition, 68 71 session: e.session, 69 72 accuracy: parseFloat(e[`Accuracy_${condition}`]), 73 73 + response_given: e.response_given, 74 74 + correct_response: e.correct_response 70 75 } 71 76 }) 72 77 }); ··· 76 81 77 82 const filterData = (data, removeOutliers) => { 78 83 let filteredData = data.data 84 84 + .filter(row => row.trial_number) 79 85 .map(row => { 80 86 return { 81 81 - condition: row.event_title, 87 87 + condition: row.condition, 82 88 subject: data.meta.datafile.split('/').pop().split('-')[0], 83 89 session: data.meta.datafile.split('/').pop().split('-')[1], 84 90 reaction_time: parseFloat(row.reaction_time), 85 85 - correct: row.correct === 'true', 91 91 + correct_response: row.correct_response, 92 92 + trial_number: row.trial_number, 93 93 + response_given: row.response_given 86 94 } 87 95 }) 88 88 - .filter(row => row.reaction_time > 0 && row.correct) 96 96 + // .filter(row => row.reaction_time > 0 && row.correct) 89 97 if(removeOutliers){ 90 90 - const mean = ss.mean(filteredData.map(r => r.reaction_time)); 91 91 - const standardDeviation = ss.sampleStandardDeviation(filteredData.map(r => r.reaction_time)); 98 98 + const mean = ss.mean(filteredData.filter(r => r.response_given === 'yes' && r.correct_response === 'true').map(r => r.reaction_time)); 99 99 + const standardDeviation = ss.sampleStandardDeviation(filteredData.filter(r => r.response_given === 'yes' && r.correct_response === 'true').map(r => r.reaction_time)); 92 100 const upperBoarder = mean + 2 * standardDeviation; 93 101 const lowerBoarder = mean - 2 * standardDeviation; 94 94 - filteredData = filteredData.filter(r => r.reaction_time > lowerBoarder && r.reaction_time < upperBoarder); 102 102 + filteredData = filteredData.filter(r => (r.reaction_time > lowerBoarder && r.reaction_time < upperBoarder) || isNaN(r.reaction_time)); 95 103 } 96 104 return filteredData; 97 105 } 98 106 99 107 const computeRT = (data, dependentVariable, conditions, showDataPoints, colors, displayMode) => { 100 100 - let dataToPlot; 101 101 - 108 108 + let dataToPlot, maxValue = 0; 102 109 switch (displayMode) { 103 110 case "datapoints": 104 111 default: 105 112 let tickValuesX, tickTextX; 106 113 dataToPlot = conditions.reduce((obj, condition, i) => { 107 107 - const xRaw = data.reduce((a, b) => a.concat(b), []).filter(e => e.condition === condition).map(r => r.subject); 108 108 - const y = data.reduce((a, b) => a.concat(b), []).filter(e => e.condition === condition).map(r => r.reaction_time); 114 114 + const xRaw = data.reduce((a, b) => a.concat(b), []).filter(r => r.response_given === 'yes' && r.correct_response === 'true').filter(e => e.condition === condition).map(r => r.subject); 115 115 + const y = data.reduce((a, b) => a.concat(b), []).filter(r => r.response_given === 'yes' && r.correct_response === 'true').filter(e => e.condition === condition).map(r => r.reaction_time); 116 116 + maxValue = Math.max(...y) > maxValue ? Math.max(...y) : maxValue; 109 117 const subjects = Array.from(new Set(xRaw)) 110 118 const x = xRaw.map(x => (subjects.indexOf(x) + 1 + i/4 + (Math.random() - 0.5)/5 )); 111 119 tickValuesX = subjects.map(x => subjects.indexOf(x) + 1 + 1/8); ··· 116 124 dataToPlot['tickvals'] = tickValuesX; 117 125 dataToPlot['ticktext'] = tickTextX; 118 126 dataToPlot['lowerLimit'] = 0; 119 119 - dataToPlot['upperLimit'] = 1000; 127 127 + dataToPlot['upperLimit'] = maxValue > 1000 ? maxValue + 100 : 1000; 120 128 return makeDataPointsGraph(dataToPlot, conditions, colors, dependentVariable) 121 129 122 130 case "errorbars": 131 131 + let maxValueSE = 0; 123 132 dataToPlot = conditions.reduce((obj, condition, i) => { 124 124 - const xRaw = data.reduce((a, b) => a.concat(b), []).filter(e => e.condition === condition).map(r => r.subject); 133 133 + const xRaw = data.reduce((a, b) => a.concat(b), []).filter(r => r.response_given === 'yes' && r.correct_response === 'true').filter(e => e.condition === condition).map(r => r.subject); 125 134 const x = Array.from(new Set(xRaw)) 126 126 - const data_condition = data.map(d => d.filter(e => e.condition == condition)); 135 135 + const data_condition = data.map(d => d.filter(r => r.response_given === 'yes' && r.correct_response === 'true').filter(e => e.condition == condition)); 127 136 const y_bars_prep = x.map( 128 137 a => data_condition.map( 129 138 d => {return d.filter(e => e.subject === a)} 130 139 ).filter(d => d.length > 0) 131 140 ); 132 141 const y = y_bars_prep.map(y => ss.mean(y.reduce((a, b) => a.concat(b), []).map(r => r.reaction_time))); 142 142 + maxValue = Math.max(...y) > maxValue ? Math.max(...y) : maxValue; 133 143 const stErrorFunction = (array) => {return ss.sampleStandardDeviation(array) / Math.sqrt(array.length)}; 134 134 - const stErrors = data_condition.map(a => stErrorFunction(a.map(r => r.reaction_time))); 144 144 + const stErrors = data_condition.map(a => a.length > 1 ? stErrorFunction(a.map(r => r.reaction_time)) : 0); 145 145 + maxValueSE = Math.max(...stErrors) > maxValueSE ? Math.max(...stErrors) : maxValueSE; 135 146 obj[condition] = { x: x, y: y, stErrors: stErrors }; 136 147 return obj; 137 148 }, {}) 138 149 dataToPlot['lowerLimit'] = 0; 139 139 - dataToPlot['upperLimit'] = 1000; 150 150 + dataToPlot['upperLimit'] = maxValue > 1000 ? maxValue + maxValueSE + 100 : 1000; 140 151 return makeBarGraph(dataToPlot, conditions, colors, dependentVariable) 141 152 142 153 case "whiskers": 143 154 dataToPlot = conditions.reduce((obj, condition, i) => { 144 144 - const x = data.reduce((a, b) => a.concat(b), []).filter(e => e.condition === condition).map(r => r.subject); 145 145 - const y = data.reduce((a, b) => a.concat(b), []).filter(e => e.condition === condition).map(r => r.reaction_time); 155 155 + const x = data.reduce((a, b) => a.concat(b), []).filter(r => r.response_given === 'yes' && r.correct_response === 'true').filter(e => e.condition === condition).map(r => r.subject); 156 156 + const y = data.reduce((a, b) => a.concat(b), []).filter(r => r.response_given === 'yes' && r.correct_response === 'true').filter(e => e.condition === condition).map(r => r.reaction_time); 157 157 + maxValue = Math.max(...y) > maxValue ? Math.max(...y) : maxValue; 146 158 obj[condition] = { x: x, y: y }; 147 159 return obj; 148 160 }, {}) 149 161 dataToPlot['lowerLimit'] = 0; 150 150 - dataToPlot['upperLimit'] = 1000; 162 162 + dataToPlot['upperLimit'] = maxValue > 1000 ? maxValue + 100 : 1000; 151 163 return makeBoxPlot(dataToPlot, conditions, colors, dependentVariable) 152 164 } 153 165 } ··· 161 173 let tickValuesX, tickTextX; 162 174 dataToPlot = conditions.reduce((obj, condition, i) => { 163 175 const correctDataForCondition = data.map(d => d.filter(e => e.condition == condition)); 176 176 + 164 177 const y = correctDataForCondition.map(d => { 165 178 if(d.filter(l => l.accuracy).length > 0){ 166 179 return d.map(l => l.accuracy) 167 180 } else { 168 168 - return d.length / 0.75 181 181 + const c = d.filter(e => e.response_given === 'yes' && e.correct_response === 'true') 182 182 + return Math.round((c.length / d.length) * 100) 169 183 } 170 184 }).reduce( (acc, item) => acc.concat(item), []); 185 185 + 171 186 const xRaw = correctDataForCondition.map(d => { 172 187 if(d.filter(l => l.accuracy).length > 0){ 173 188 return d.map(l => l.subject) ··· 200 215 }) 201 216 }) 202 217 } else { 218 218 + const c = d.filter(e => e.response_given === 'yes' && e.correct_response === 'true'); 203 219 return ({ 204 204 - accuracy: d.length / 0.75, 220 220 + accuracy: Math.round((c.length / d.length) * 100), 205 221 subject: d.map(r => r.subject)[0], 206 222 }) 207 223 } ··· 233 249 if(d.filter(l => l.accuracy).length > 0){ 234 250 return d.map(l => l.accuracy) 235 251 } else { 236 236 - return d.length / 0.75 252 252 + const c = d.filter(e => e.response_given === 'yes' && e.correct_response === 'true') 253 253 + return Math.round((c.length / d.length) * 100) 237 254 } 238 255 }).reduce( (acc, item) => acc.concat(item), []); 239 256 const xRaw = correctDataForCondition.map(d => {

+16

app/utils/jspsych/functions.js

reviewed

··· 7 7 import { buildOddballTimeline } from './timelines/oddball'; 8 8 import { buildN170Timeline } from './timelines/n170'; 9 9 import { buildSSVEPTimeline } from './timelines/ssvep'; 10 10 + import { buildStroopTimeline } from './timelines/stroop'; 11 11 + import { buildMultiTimeline } from './timelines/multi'; 12 12 + import { buildSearchTimeline } from './timelines/search'; 13 13 + 10 14 import { 11 15 MainTimeline, 12 16 Trial, ··· 43 47 44 48 case EXPERIMENTS.SSVEP: 45 49 timeline = buildSSVEPTimeline(); 50 50 + break; 51 51 + 52 52 + case EXPERIMENTS.STROOP: 53 53 + timeline = buildStroopTimeline(); 54 54 + break; 55 55 + 56 56 + case EXPERIMENTS.MULTI: 57 57 + timeline = buildMultiTimeline(); 58 58 + break; 59 59 + 60 60 + case EXPERIMENTS.SEARCH: 61 61 + timeline = buildSearchTimeline(); 46 62 break; 47 63 48 64 default:

+71

app/utils/jspsych/timelines/multi.js

reviewed

··· 1 1 + import * as path from 'path'; 2 2 + import { EVENTS } from '../../../constants/constants'; 3 3 + 4 4 + // Default directories containing stimuli 5 5 + const rootFolder = __dirname; // Note: there's a weird issue where the fs readdir function reads from BrainWaves dir 6 6 + 7 7 + const facesDir = path.join(rootFolder, 'assets', 'face_house', 'faces'); 8 8 + const housesDir = path.join(rootFolder, 'assets', 'face_house', 'houses'); 9 9 + const fixation = path.join(rootFolder, 'assets', 'common', 'fixationcross.png'); 10 10 + 11 11 + export const buildMultiTimeline = () => ({ 12 12 + overview: 'Here is the placeholder for the overview of the Multi-tasking task', 13 13 + background: 'Here is the background of the Multi-tasking task', 14 14 + background_title: `Title`, 15 15 + protocol: 'Here is the protocol of the Multi-tasking task', 16 16 + params: { 17 17 + trialDuration: 1000, 18 18 + nbTrials: 150, 19 19 + iti: 500, 20 20 + jitter: 200, 21 21 + sampleType: 'with-replacement', 22 22 + pluginName: 'callback-image-display', 23 23 + intro: 24 24 + 'You will see the multi-tasking test. Press 1 when a face appears and 9 for a house. Press any key to continue', 25 25 + showProgressBar: false, 26 26 + stimulus1: { 27 27 + dir: facesDir, 28 28 + title: 'Face', 29 29 + type: EVENTS.STIMULUS_1, 30 30 + response: '1' 31 31 + }, 32 32 + stimulus2: { 33 33 + dir: housesDir, 34 34 + title: 'House', 35 35 + type: EVENTS.STIMULUS_2, 36 36 + response: '9' 37 37 + } 38 38 + }, 39 39 + mainTimeline: ['intro', 'faceHouseTimeline', 'end'], // array of trial and timeline ids 40 40 + trials: { 41 41 + intro: { 42 42 + type: 'callback-html-display', 43 43 + id: 'intro', 44 44 + post_trial_gap: 1000 45 45 + }, 46 46 + end: { 47 47 + id: 'end', 48 48 + type: 'callback-html-display', 49 49 + stimulus: 'Thanks for participating. Press any key to continue', 50 50 + response_ends_trial: true, 51 51 + post_trial_gap: 500 52 52 + } 53 53 + }, 54 54 + timelines: { 55 55 + faceHouseTimeline: { 56 56 + id: 'faceHouseTimeline', 57 57 + timeline: [ 58 58 + { 59 59 + id: 'interTrial', 60 60 + type: 'callback-image-display', 61 61 + stimulus: fixation, 62 62 + response_ends_trial: false 63 63 + }, 64 64 + { 65 65 + id: 'trial', 66 66 + response_ends_trial: false 67 67 + } 68 68 + ] 69 69 + } 70 70 + } 71 71 + });

+19

app/utils/jspsych/timelines/n170.js

reviewed

··· 9 9 const fixation = path.join(rootFolder, 'assets', 'common', 'fixationcross.png'); 10 10 11 11 export const buildN170Timeline = () => ({ 12 12 + overview: `Faces contain a lot of information that is relevant to our 13 13 + survival. It's important to be able to quickly recognize people you can 14 14 + trust and read emotions in both strangers and people you know`, 15 15 + background_title: `The N170 ERP`, 16 16 + background: `The N170 is a large negative event-related potential (ERP) 17 17 + component that occurs after the detection of faces, but not 18 18 + objects, scrambled faces, or other body parts such as hands. The 19 19 + N170 occurs around 170ms after face perception and is most 20 20 + easily detected at lateral posterior electrodes such as T5 and 21 21 + T6. Frontal or profile views of human (and animal) faces elicit 22 22 + the strongest N170 and the strength of the N170 does not seem to 23 23 + be influenced by how familiar a face is. Thus, although there is 24 24 + no consensus on the specific source of the N170, researchers 25 25 + believe it is related to activity in the fusiform face area, an 26 26 + area of the brain that shows a similar response pattern and is 27 27 + involved in encoding the holistic representation of a face (i.e 28 28 + eyes, nose mouth all arranged in the appropriate way).`, 29 29 + protocol: `Subjects will view a series of images of faces and houses for 120 seconds. 30 30 + Subjects will mentally note which stimulus they are perceiving.`, 12 31 params: { 13 32 trialDuration: 1000, 14 33 nbTrials: 150,

+71

app/utils/jspsych/timelines/search.js

reviewed

··· 1 1 + import * as path from 'path'; 2 2 + import { EVENTS } from '../../../constants/constants'; 3 3 + 4 4 + // Default directories containing stimuli 5 5 + const rootFolder = __dirname; // Note: there's a weird issue where the fs readdir function reads from BrainWaves dir 6 6 + 7 7 + const facesDir = path.join(rootFolder, 'assets', 'face_house', 'faces'); 8 8 + const housesDir = path.join(rootFolder, 'assets', 'face_house', 'houses'); 9 9 + const fixation = path.join(rootFolder, 'assets', 'common', 'fixationcross.png'); 10 10 + 11 11 + export const buildSearchTimeline = () => ({ 12 12 + overview: 'Here is the placeholder for the overview of the Visual Search task', 13 13 + background: 'Here is the background of the Visual Search task', 14 14 + background_title: `Title`, 15 15 + protocol: 'Here is the protocol of the Visual Search task', 16 16 + params: { 17 17 + trialDuration: 1000, 18 18 + nbTrials: 150, 19 19 + iti: 500, 20 20 + jitter: 200, 21 21 + sampleType: 'with-replacement', 22 22 + pluginName: 'callback-image-display', 23 23 + intro: 24 24 + 'You will see the visual search task. Press 1 when a face appears and 9 for a house. Press any key to continue', 25 25 + showProgressBar: false, 26 26 + stimulus1: { 27 27 + dir: facesDir, 28 28 + title: 'Face', 29 29 + type: EVENTS.STIMULUS_1, 30 30 + response: '1' 31 31 + }, 32 32 + stimulus2: { 33 33 + dir: housesDir, 34 34 + title: 'House', 35 35 + type: EVENTS.STIMULUS_2, 36 36 + response: '9' 37 37 + } 38 38 + }, 39 39 + mainTimeline: ['intro', 'faceHouseTimeline', 'end'], // array of trial and timeline ids 40 40 + trials: { 41 41 + intro: { 42 42 + type: 'callback-html-display', 43 43 + id: 'intro', 44 44 + post_trial_gap: 1000 45 45 + }, 46 46 + end: { 47 47 + id: 'end', 48 48 + type: 'callback-html-display', 49 49 + stimulus: 'Thanks for participating. Press any key to continue', 50 50 + response_ends_trial: true, 51 51 + post_trial_gap: 500 52 52 + } 53 53 + }, 54 54 + timelines: { 55 55 + faceHouseTimeline: { 56 56 + id: 'faceHouseTimeline', 57 57 + timeline: [ 58 58 + { 59 59 + id: 'interTrial', 60 60 + type: 'callback-image-display', 61 61 + stimulus: fixation, 62 62 + response_ends_trial: false 63 63 + }, 64 64 + { 65 65 + id: 'trial', 66 66 + response_ends_trial: false 67 67 + } 68 68 + ] 69 69 + } 70 70 + } 71 71 + });

+71

app/utils/jspsych/timelines/stroop.js

reviewed

··· 1 1 + import * as path from 'path'; 2 2 + import { EVENTS } from '../../../constants/constants'; 3 3 + 4 4 + // Default directories containing stimuli 5 5 + const rootFolder = __dirname; // Note: there's a weird issue where the fs readdir function reads from BrainWaves dir 6 6 + 7 7 + const facesDir = path.join(rootFolder, 'assets', 'face_house', 'faces'); 8 8 + const housesDir = path.join(rootFolder, 'assets', 'face_house', 'houses'); 9 9 + const fixation = path.join(rootFolder, 'assets', 'common', 'fixationcross.png'); 10 10 + 11 11 + export const buildStroopTimeline = () => ({ 12 12 + overview: 'Here is the placeholder for the overview of the Stroop task', 13 13 + background: 'Here is the background of the Stroop task', 14 14 + background_title: `Title`, 15 15 + protocol: 'Here is the protocol of the Stroop task', 16 16 + params: { 17 17 + trialDuration: 1000, 18 18 + nbTrials: 150, 19 19 + iti: 500, 20 20 + jitter: 200, 21 21 + sampleType: 'with-replacement', 22 22 + pluginName: 'callback-image-display', 23 23 + intro: 24 24 + 'You will see the stroop task. Press 1 when a face appears and 9 for a house. Press any key to continue', 25 25 + showProgressBar: false, 26 26 + stimulus1: { 27 27 + dir: facesDir, 28 28 + title: 'Face', 29 29 + type: EVENTS.STIMULUS_1, 30 30 + response: '1' 31 31 + }, 32 32 + stimulus2: { 33 33 + dir: housesDir, 34 34 + title: 'House', 35 35 + type: EVENTS.STIMULUS_2, 36 36 + response: '9' 37 37 + } 38 38 + }, 39 39 + mainTimeline: ['intro', 'faceHouseTimeline', 'end'], // array of trial and timeline ids 40 40 + trials: { 41 41 + intro: { 42 42 + type: 'callback-html-display', 43 43 + id: 'intro', 44 44 + post_trial_gap: 1000 45 45 + }, 46 46 + end: { 47 47 + id: 'end', 48 48 + type: 'callback-html-display', 49 49 + stimulus: 'Thanks for participating. Press any key to continue', 50 50 + response_ends_trial: true, 51 51 + post_trial_gap: 500 52 52 + } 53 53 + }, 54 54 + timelines: { 55 55 + faceHouseTimeline: { 56 56 + id: 'faceHouseTimeline', 57 57 + timeline: [ 58 58 + { 59 59 + id: 'interTrial', 60 60 + type: 'callback-image-display', 61 61 + stimulus: fixation, 62 62 + response_ends_trial: false 63 63 + }, 64 64 + { 65 65 + id: 'trial', 66 66 + response_ends_trial: false 67 67 + } 68 68 + ] 69 69 + } 70 70 + } 71 71 + });

+33 -4

app/utils/labjs/index.js

reviewed

··· 2 2 import clonedeep from "lodash.clonedeep"; 3 3 import * as lab from "./lib/lab"; 4 4 5 5 - import task from './scripts/stroop'; 5 5 + import visualsearch from './scripts/visualsearch'; 6 6 + import stroop from './scripts/stroop'; 7 7 + import multitasking from './scripts/multitasking'; 8 8 + import faceshouses from './scripts/faceshouses'; 6 9 7 10 class ExperimentWindow extends Component { 8 11 constructor(props) { ··· 11 14 12 15 componentDidMount() { 13 16 const {props} = this; 14 14 - this.study = lab.util.fromObject(clonedeep(task), lab); 17 17 + switch (props.settings.script) { 18 18 + case 'Multi-tasking': 19 19 + this.study = lab.util.fromObject(clonedeep(multitasking), lab); 20 20 + break; 21 21 + case 'Visual search': 22 22 + this.study = lab.util.fromObject(clonedeep(visualsearch), lab); 23 23 + break; 24 24 + case 'Stroop Task': 25 25 + this.study = lab.util.fromObject(clonedeep(stroop), lab); 26 26 + break; 27 27 + case 'Faces and Houses': 28 28 + this.study = lab.util.fromObject(clonedeep(faceshouses), lab); 29 29 + break; 30 30 + default: 31 31 + this.study = lab.util.fromObject(clonedeep(stroop), lab); 32 32 + }; 15 33 this.study.run(); 16 34 this.study.on('end', () => { 17 35 const csv = this.study.options.datastore.exportCsv(); 18 36 this.study = undefined; 19 37 props.settings.on_finish(csv); 20 20 - }) 38 38 + }); 39 39 + this.study.options.events['keydown'] = async (e) => { 40 40 + if(e.code === 'Escape'){ 41 41 + if(this.study){ 42 42 + await this.study.internals.controller.audioContext.close(); 43 43 + this.study.end(); 44 44 + } 45 45 + }; 46 46 + }; 21 47 } 22 48 23 49 componentWillUnmount() { 24 50 try { 25 25 - if(this.study) this.study.end(); 51 51 + if(this.study){ 52 52 + this.study.internals.controller.audioContext.close(); 53 53 + this.study.end(); 54 54 + } 26 55 } catch (e) { 27 56 console.log("Experiment closed before unmount"); 28 57 }

+407

app/utils/labjs/scripts/faceshouses.js

reviewed

··· 1 1 + // Define study 2 2 + const studyObject = { 3 3 + "title": "root", 4 4 + "type": "lab.flow.Sequence", 5 5 + "parameters": {}, 6 6 + "plugins": [ 7 7 + { 8 8 + "type": "lab.plugins.Metadata" 9 9 + }, 10 10 + { 11 11 + "type": "lab.plugins.Download", 12 12 + "filePrefix": "the-face-house-task" 13 13 + } 14 14 + ], 15 15 + "metadata": { 16 16 + "title": "The face-house task", 17 17 + "description": "Faces contain a lot of information that is relevant to our survival. It's important to be able to quickly recognize people you can trust and read emotions in both strangers and people you know. ", 18 18 + "repository": "", 19 19 + "contributors": "Yury Shevchenko \u003Cyury.shevchenko@uni-konstanz.de\u003E" 20 20 + }, 21 21 + "files": {}, 22 22 + "responses": {}, 23 23 + "content": [ 24 24 + { 25 25 + "type": "lab.flow.Sequence", 26 26 + "files": { 27 27 + "Annie_3.jpg": "./utils/labjs/scripts/faceshouses/7a536fba60226293bf351cb6f9719fee15f3b693915c0a55b0f107377f10a7e1.jpg", 28 28 + "Blake_3.jpg": "./utils/labjs/scripts/faceshouses/3138f2fd1cba5a07f0b0ac61f8ee4754e6e0f07bd3ea520a75bc39c2d05ecece.jpg", 29 29 + "Don_3.jpg": "./utils/labjs/scripts/faceshouses/cc6bf44e75c27e0d57956ae95d4c2c64f0d41f666a1e3f9fff20927fe3844dfd.jpg", 30 30 + "Estelle_3.jpg": "./utils/labjs/scripts/faceshouses/5ce843ee780ba0c902ee1b06326c7e65fe840769c8621a8d9f8b75b5eb67bcd9.jpg", 31 31 + "Frank_3.jpg": "./utils/labjs/scripts/faceshouses/856ae9bd5ec82567011ae41e10dcfa2de9cfa7ddadc5c1388df2998142ab4d7f.jpg", 32 32 + "Janie_3.jpg": "./utils/labjs/scripts/faceshouses/a82a652abb85637af9fba1f4dbf7f69d906a14172a70df610e3be33c0058b9f6.jpg", 33 33 + "Joan_3.jpg": "./utils/labjs/scripts/faceshouses/d92c1965ad53b7533d5f00ace843e8f1c161ae7e72ad52b4511f3ab84a8eea73.jpg", 34 34 + "Jodi_3.jpg": "./utils/labjs/scripts/faceshouses/b746cdfd1099dfbe200a661a81ef2315935a5eafc855b8b373d9b633fadd8e6c.jpg", 35 35 + "Joe_3.jpg": "./utils/labjs/scripts/faceshouses/3e55b3ce099ffea5a4ebde02c7a0cb055fb6f9768116efc932e77e4319841bea.jpg", 36 36 + "Tim_3.jpg": "./utils/labjs/scripts/faceshouses/56136f19fc574a3a99761c9a7ce1fcc5149d6edcc60e942cc8e5db2f66e0db91.jpg", 37 37 + "Tom_3.jpg": "./utils/labjs/scripts/faceshouses/b87301f741db5d27e05e8d127ae729af9bb7e2e38484c8f29b52e442c333989d.jpg", 38 38 + "Wallace_3.jpg": "./utils/labjs/scripts/faceshouses/5ba782ee30b8213b554d61adb62091b63c509a539bdd693ed27c1cbc3db40272.jpg", 39 39 + "house1.3.jpg": "./utils/labjs/scripts/faceshouses/9f0121c6a70040d4abbcd41daf909797cef7438f406fc471c0def07f477f920e.jpg", 40 40 + "house2.2.jpg": "./utils/labjs/scripts/faceshouses/461aa813adbb5117b26b791c02864b2e88e6c2899c821f14d58b042c26628b92.jpg", 41 41 + "house3.1.jpg": "./utils/labjs/scripts/faceshouses/269317cfd165abfdbc48e400a6cfc89c2cfcd98a9c738ece5222e8d513bcf83a.jpg", 42 42 + "house4.3.jpg": "./utils/labjs/scripts/faceshouses/a87186061326f3e11259a95ba1229cfc3f1a4f4b06fb50c16ad3757105a2b69c.jpg", 43 43 + "house5.2.jpg": "./utils/labjs/scripts/faceshouses/f78f496ab685b1ae4661c6071358f1a6ab0e1238a0ed1bd157a32317c41a8eaf.jpg", 44 44 + "house6.3.jpg": "./utils/labjs/scripts/faceshouses/b589ac23b4918605f777f45ad32149fa7327fccdd452d4037451c8c28e19c7c0.jpg", 45 45 + "house7.1.jpg": "./utils/labjs/scripts/faceshouses/f528aa7c5e2618c4e8b7ae1e1eced370788e698a339b60be085b46c0044b58e3.jpg", 46 46 + "house8.4.jpg": "./utils/labjs/scripts/faceshouses/28f97e1e523564c8fa7942675ea1609265532de0c715e1b4058cf8ceb4220f9b.jpg", 47 47 + "house9.2.jpg": "./utils/labjs/scripts/faceshouses/6720b60aa89355682657837dca11fc69d684e77cca2cd26029115ac49e940efe.jpg", 48 48 + "house10.4.jpg": "./utils/labjs/scripts/faceshouses/c424a87e1b2220efb59423664e7293de2ed37e60d463bfe3261d8b967183740f.jpg", 49 49 + "house11.2.jpg": "./utils/labjs/scripts/faceshouses/19a8664bab5a3c491510b7f3485d5498c41b680c4695c317be659b4d8e092358.jpg", 50 50 + "house12.1.jpg": "./utils/labjs/scripts/faceshouses/38178a7ec6cc54ed9e61b5fec7790dc85d2debe2dad0b3e960686db660d9428c.jpg" 51 51 + }, 52 52 + "parameters": { 53 53 + "fixationCrossDuration": 500, 54 54 + "imageDuration": 1000 55 55 + }, 56 56 + "responses": {}, 57 57 + "messageHandlers": {}, 58 58 + "title": "The face-house task", 59 59 + "notes": "We can change these parameters to manipulate the duration of two screens: the fixation cross screen and the screen with an image. The duration is measured in milliseconds.\nDefault values\n- fixationCrossDuration - 500 ms\n- imageDuration - 1000 ms", 60 60 + "content": [ 61 61 + { 62 62 + "type": "lab.html.Screen", 63 63 + "files": {}, 64 64 + "parameters": {}, 65 65 + "responses": { 66 66 + "keypress(Space)": "continue" 67 67 + }, 68 68 + "messageHandlers": {}, 69 69 + "title": "Instruction", 70 70 + "content": "\u003Cheader class=\"content-vertical-center content-horizontal-center\"\u003E\n \u003Ch1\u003EThe face-house task\u003C\u002Fh1\u003E\n\u003C\u002Fheader\u003E\n\n\u003Cmain\u003E\n\n \u003Cp\u003E\n You will view a series of faces and houses.\n Press 1 when a face appears and 9 for a house. \n \n \u003C\u002Fp\u003E\n \n\u003C\u002Fmain\u003E\n\n\u003Cfooter\u003E\n Press \u003Ckbd\u003ESpace\u003C\u002Fkbd\u003E to continue.\n\u003C\u002Ffooter\u003E" 71 71 + }, 72 72 + { 73 73 + "type": "lab.flow.Loop", 74 74 + "files": {}, 75 75 + "parameters": {}, 76 76 + "templateParameters": [ 77 77 + { 78 78 + "condition": "Face", 79 79 + "image": "Annie_3.jpg", 80 80 + "correctResponse": "1" 81 81 + }, 82 82 + { 83 83 + "condition": "Face", 84 84 + "image": "Blake_3.jpg", 85 85 + "correctResponse": "1" 86 86 + }, 87 87 + { 88 88 + "condition": "Face", 89 89 + "image": "Don_3.jpg", 90 90 + "correctResponse": "1" 91 91 + }, 92 92 + { 93 93 + "condition": "Face", 94 94 + "image": "Estelle_3.jpg", 95 95 + "correctResponse": "1" 96 96 + }, 97 97 + { 98 98 + "condition": "Face", 99 99 + "image": "Frank_3.jpg", 100 100 + "correctResponse": "1" 101 101 + }, 102 102 + { 103 103 + "condition": "Face", 104 104 + "image": "Janie_3.jpg", 105 105 + "correctResponse": "1" 106 106 + }, 107 107 + { 108 108 + "condition": "Face", 109 109 + "image": "Joan_3.jpg", 110 110 + "correctResponse": "1" 111 111 + }, 112 112 + { 113 113 + "condition": "Face", 114 114 + "image": "Jodi_3.jpg", 115 115 + "correctResponse": "1" 116 116 + }, 117 117 + { 118 118 + "condition": "Face", 119 119 + "image": "Joe_3.jpg", 120 120 + "correctResponse": "1" 121 121 + }, 122 122 + { 123 123 + "condition": "Face", 124 124 + "image": "Tim_3.jpg", 125 125 + "correctResponse": "1" 126 126 + }, 127 127 + { 128 128 + "condition": "Face", 129 129 + "image": "Tom_3.jpg", 130 130 + "correctResponse": "1" 131 131 + }, 132 132 + { 133 133 + "condition": "Face", 134 134 + "image": "Wallace_3.jpg", 135 135 + "correctResponse": "1" 136 136 + }, 137 137 + { 138 138 + "condition": "House", 139 139 + "image": "house1.3.jpg", 140 140 + "correctResponse": "9" 141 141 + }, 142 142 + { 143 143 + "condition": "House", 144 144 + "image": "house2.2.jpg", 145 145 + "correctResponse": "9" 146 146 + }, 147 147 + { 148 148 + "condition": "House", 149 149 + "image": "house3.1.jpg", 150 150 + "correctResponse": "9" 151 151 + }, 152 152 + { 153 153 + "condition": "House", 154 154 + "image": "house4.3.jpg", 155 155 + "correctResponse": "9" 156 156 + }, 157 157 + { 158 158 + "condition": "House", 159 159 + "image": "house5.2.jpg", 160 160 + "correctResponse": "9" 161 161 + }, 162 162 + { 163 163 + "condition": "House", 164 164 + "image": "house6.3.jpg", 165 165 + "correctResponse": "9" 166 166 + }, 167 167 + { 168 168 + "condition": "House", 169 169 + "image": "house7.1.jpg", 170 170 + "correctResponse": "9" 171 171 + }, 172 172 + { 173 173 + "condition": "House", 174 174 + "image": "house8.4.jpg", 175 175 + "correctResponse": "9" 176 176 + }, 177 177 + { 178 178 + "condition": "House", 179 179 + "image": "house9.2.jpg", 180 180 + "correctResponse": "9" 181 181 + }, 182 182 + { 183 183 + "condition": "House", 184 184 + "image": "house10.4.jpg", 185 185 + "correctResponse": "9" 186 186 + }, 187 187 + { 188 188 + "condition": "House", 189 189 + "image": "house11.2.jpg", 190 190 + "correctResponse": "9" 191 191 + }, 192 192 + { 193 193 + "condition": "House", 194 194 + "image": "house12.1.jpg", 195 195 + "correctResponse": "9" 196 196 + } 197 197 + ], 198 198 + "sample": { 199 199 + "mode": "draw-shuffle", 200 200 + "n": "" 201 201 + }, 202 202 + "responses": {}, 203 203 + "messageHandlers": {}, 204 204 + "title": "Experiment loop", 205 205 + "shuffleGroups": [], 206 206 + "template": { 207 207 + "type": "lab.flow.Sequence", 208 208 + "files": {}, 209 209 + "parameters": {}, 210 210 + "responses": {}, 211 211 + "messageHandlers": {}, 212 212 + "title": "Trial", 213 213 + "content": [ 214 214 + { 215 215 + "type": "lab.canvas.Screen", 216 216 + "content": [ 217 217 + { 218 218 + "type": "rect", 219 219 + "version": "2.7.0", 220 220 + "originX": "center", 221 221 + "originY": "center", 222 222 + "left": 0, 223 223 + "top": 0, 224 224 + "width": 10, 225 225 + "height": "50", 226 226 + "fill": "black", 227 227 + "stroke": null, 228 228 + "strokeWidth": 1, 229 229 + "strokeDashArray": null, 230 230 + "strokeLineCap": "butt", 231 231 + "strokeDashOffset": 0, 232 232 + "strokeLineJoin": "round", 233 233 + "strokeMiterLimit": 4, 234 234 + "scaleX": 1, 235 235 + "scaleY": 1, 236 236 + "angle": 0, 237 237 + "flipX": false, 238 238 + "flipY": false, 239 239 + "opacity": 1, 240 240 + "shadow": null, 241 241 + "visible": true, 242 242 + "clipTo": null, 243 243 + "backgroundColor": "", 244 244 + "fillRule": "nonzero", 245 245 + "paintFirst": "fill", 246 246 + "globalCompositeOperation": "source-over", 247 247 + "transformMatrix": null, 248 248 + "skewX": 0, 249 249 + "skewY": 0, 250 250 + "rx": 0, 251 251 + "ry": 0, 252 252 + "id": "99" 253 253 + }, 254 254 + { 255 255 + "type": "rect", 256 256 + "version": "2.7.0", 257 257 + "originX": "center", 258 258 + "originY": "center", 259 259 + "left": 0, 260 260 + "top": 0, 261 261 + "width": 10, 262 262 + "height": "50", 263 263 + "fill": "black", 264 264 + "stroke": null, 265 265 + "strokeWidth": 1, 266 266 + "strokeDashArray": null, 267 267 + "strokeLineCap": "butt", 268 268 + "strokeDashOffset": 0, 269 269 + "strokeLineJoin": "round", 270 270 + "strokeMiterLimit": 4, 271 271 + "scaleX": 1, 272 272 + "scaleY": 1, 273 273 + "angle": 90, 274 274 + "flipX": false, 275 275 + "flipY": false, 276 276 + "opacity": 1, 277 277 + "shadow": null, 278 278 + "visible": true, 279 279 + "clipTo": null, 280 280 + "backgroundColor": "", 281 281 + "fillRule": "nonzero", 282 282 + "paintFirst": "fill", 283 283 + "globalCompositeOperation": "source-over", 284 284 + "transformMatrix": null, 285 285 + "skewX": 0, 286 286 + "skewY": 0, 287 287 + "rx": 0, 288 288 + "ry": 0, 289 289 + "id": "100" 290 290 + } 291 291 + ], 292 292 + "files": {}, 293 293 + "parameters": {}, 294 294 + "responses": {}, 295 295 + "messageHandlers": {}, 296 296 + "viewport": [ 297 297 + 800, 298 298 + 600 299 299 + ], 300 300 + "title": "Fixation cross", 301 301 + "timeout": "${parameters.fixationCrossDuration}" 302 302 + }, 303 303 + { 304 304 + "type": "lab.canvas.Screen", 305 305 + "content": [ 306 306 + { 307 307 + "type": "image", 308 308 + "version": "2.7.0", 309 309 + "originX": "center", 310 310 + "originY": "center", 311 311 + "left": 0, 312 312 + "top": 0, 313 313 + "width": 400, 314 314 + "height": 400, 315 315 + "fill": "black", 316 316 + "stroke": null, 317 317 + "strokeWidth": 0, 318 318 + "strokeDashArray": null, 319 319 + "strokeLineCap": "butt", 320 320 + "strokeDashOffset": 0, 321 321 + "strokeLineJoin": "round", 322 322 + "strokeMiterLimit": 4, 323 323 + "scaleX": 1, 324 324 + "scaleY": 1, 325 325 + "angle": 0, 326 326 + "flipX": false, 327 327 + "flipY": false, 328 328 + "opacity": 1, 329 329 + "shadow": null, 330 330 + "visible": true, 331 331 + "clipTo": null, 332 332 + "backgroundColor": "", 333 333 + "fillRule": "nonzero", 334 334 + "paintFirst": "fill", 335 335 + "globalCompositeOperation": "source-over", 336 336 + "transformMatrix": null, 337 337 + "skewX": 0, 338 338 + "skewY": 0, 339 339 + "crossOrigin": "", 340 340 + "cropX": 0, 341 341 + "cropY": 0, 342 342 + "id": "137", 343 343 + "src": "${ this.files[this.parameters.image] }", 344 344 + "filters": [], 345 345 + "naturalWidth": 400, 346 346 + "naturalHeight": 400 347 347 + } 348 348 + ], 349 349 + "files": {}, 350 350 + "parameters": {}, 351 351 + "responses": {}, 352 352 + "messageHandlers": { 353 353 + "before:prepare": function anonymous( 354 354 + ) { 355 355 + // This code registers an event listener for this screen. 356 356 + // We have a timeout for this screen, but we also want to record responses. 357 357 + // On a keydown event, we record the key and the time of response. 358 358 + // We also record whether the response was correct (by comparing the pressed key with the correct response which is defined inside the Experiment loop). 359 359 + // "this" in the code means the lab.js experiment. 360 360 + this.data.trial_number = 1 + parseInt(this.options.id.split('_')[this.options.id.split('_').length-2]); 361 361 + this.data.response_given = 'no'; 362 362 + 363 363 + this.options.events = { 364 364 + 'keydown': (event) => { 365 365 + if(['Digit1', 'Digit9'].includes(event.code)){ 366 366 + this.data.reaction_time = this.timer; 367 367 + this.data.response_given = 'yes'; 368 368 + this.data.response = event.key; 369 369 + if(this.data.response == this.parameters.correctResponse){ 370 370 + this.data.correct_response = true; 371 371 + } else { 372 372 + this.data.correct_response = false; 373 373 + } 374 374 + } 375 375 + } 376 376 + } 377 377 + } 378 378 + }, 379 379 + "viewport": [ 380 380 + 800, 381 381 + 600 382 382 + ], 383 383 + "title": "Stimulus", 384 384 + "timeout": "${parameters.imageDuration}" 385 385 + } 386 386 + ] 387 387 + } 388 388 + }, 389 389 + { 390 390 + "type": "lab.html.Screen", 391 391 + "files": {}, 392 392 + "parameters": {}, 393 393 + "responses": { 394 394 + "keypress(Space)": "finish" 395 395 + }, 396 396 + "messageHandlers": {}, 397 397 + "title": "End", 398 398 + "timeout": "10000", 399 399 + "content": "\u003Cmain\u003E\n\n \u003Cp\u003E\n Thanks for participating. Press \u003Ckbd\u003ESpace\u003C\u002Fkbd\u003E to continue.\n \u003C\u002Fp\u003E\n \n\u003C\u002Fmain\u003E" 400 400 + } 401 401 + ] 402 402 + } 403 403 + ] 404 404 + } 405 405 + 406 406 + // export 407 407 + export default studyObject;

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app/utils/labjs/scripts/multitasking.js

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··· 1 1 + // Define study 2 2 + const studyObject = { 3 3 + "title": "root", 4 4 + "type": "lab.flow.Sequence", 5 5 + "parameters": {}, 6 6 + "plugins": [ 7 7 + { 8 8 + "type": "lab.plugins.Metadata" 9 9 + }, 10 10 + { 11 11 + "type": "lab.plugins.Download", 12 12 + "filePrefix": "study" 13 13 + } 14 14 + ], 15 15 + "metadata": { 16 16 + "title": "", 17 17 + "description": "", 18 18 + "repository": "", 19 19 + "contributors": "" 20 20 + }, 21 21 + "files": {}, 22 22 + "responses": {}, 23 23 + "content": [ 24 24 + { 25 25 + "type": "lab.flow.Sequence", 26 26 + "files": {}, 27 27 + "parameters": {}, 28 28 + "responses": {}, 29 29 + "messageHandlers": {}, 30 30 + "title": "Multi-tasking", 31 31 + "content": [ 32 32 + { 33 33 + "type": "lab.html.Screen", 34 34 + "files": {}, 35 35 + "parameters": {}, 36 36 + "responses": { 37 37 + "keypress(Space)": "continue" 38 38 + }, 39 39 + "messageHandlers": {}, 40 40 + "title": "Intro", 41 41 + "content": "\u003Cmain\u003E\n \u003Ch1\u003E\n Multitasking\n \u003C\u002Fh1\u003E\n \u003Cp\u003E\n In this task you will learn about multitasking difficulties using a task mixing and switching paradigm. \n \u003C\u002Fp\u003E\n \u003Cp\u003E\n You will go through several instruction and training blocks and then several blocks of real data collection will follow.\n \u003C\u002Fp\u003E\n \u003Ch3\u003E\n \u003Cem\u003E\n Press the space bar to continue with the instructions\n \u003C\u002Fem\u003E\n \u003C\u002Fh3\u003E\n\u003C\u002Fmain\u003E" 42 42 + }, 43 43 + { 44 44 + "type": "lab.html.Screen", 45 45 + "files": { 46 46 + "diamond_2.png": "./utils/labjs/scripts/multitasking/diamond_2.png", 47 47 + "diamond_3.png": "./utils/labjs/scripts/multitasking/diamond_3.png", 48 48 + "rectangle_2.png": "./utils/labjs/scripts/multitasking/rectangle_2.png", 49 49 + "rectangle_3.png": "./utils/labjs/scripts/multitasking/rectangle_3.png", 50 50 + "filling.png": "./utils/labjs/scripts/multitasking/filling.png", 51 51 + "shape.png": "./utils/labjs/scripts/multitasking/shape.png", 52 52 + "example_1.png": "./utils/labjs/scripts/multitasking/example_1.png", 53 53 + "example_2.png": "./utils/labjs/scripts/multitasking/example_2.png", 54 54 + "example_3.png": "./utils/labjs/scripts/multitasking/example_3.png", 55 55 + "example_4.png": "./utils/labjs/scripts/multitasking/example_4.png", 56 56 + "all_conditions.png": "./utils/labjs/scripts/multitasking/all_conditions.png" 57 57 + }, 58 58 + "parameters": {}, 59 59 + "responses": { 60 60 + "keypress(q)": "continue" 61 61 + }, 62 62 + "messageHandlers": { 63 63 + "before:prepare": function anonymous( 64 64 + ) { 65 65 + this.options.events['keydown'] = (e) => { 66 66 + if(e.code === 'ArrowLeft' || e.code === 'ArrowRight'){ 67 67 + 68 68 + let instructions = document.querySelectorAll('div.instruction') 69 69 + let notFound = true 70 70 + instructions.forEach(i => { 71 71 + 72 72 + if(i.style.display === 'block' && notFound){ 73 73 + let cur_id = parseInt(i.id.split('screen_')[1]) 74 74 + let next_id 75 75 + if(e.code === 'ArrowLeft'){ 76 76 + next_id = cur_id - 1 77 77 + } 78 78 + if(e.code === 'ArrowRight'){ 79 79 + next_id = cur_id + 1 80 80 + } 81 81 + if(next_id > 0 && next_id <= 10){ 82 82 + i.style.display = 'none' 83 83 + next_id = 'screen_' + next_id 84 84 + document.querySelector(`#${next_id}`).style.display = 'block' 85 85 + notFound = false 86 86 + } 87 87 + 88 88 + } 89 89 + 90 90 + }) 91 91 + 92 92 + } 93 93 + } 94 94 + } 95 95 + }, 96 96 + "title": "Instructions", 97 97 + "content": "\u003Cmain\u003E\n\n\u003Cdiv class=\"instruction\" id='screen_1' style=\"display:block\"\u003E\n \u003Cp\u003E\n In the following, you will respond to various figures. These are the figures that you will see: diamonds and rectangles with a filling of 2 or 3 dots:\n \u003C\u002Fp\u003E\n \u003Ctable\u003E\n \u003Cthead\u003E\n \u003Ctr\u003E\n \u003Cth\u003EDiamond with filling of 3 dots\u003C\u002Fth\u003E\n \u003Cth\u003EDiamond with filling of 2 dots\u003C\u002Fth\u003E\n \u003Cth\u003ERectangle with filling of 3 dots\u003C\u002Fth\u003E\n \u003Cth\u003ERectangle with filling of 2 dots\u003C\u002Fth\u003E\n \u003C\u002Ftr\u003E\n \u003C\u002Fthead\u003E\n \u003Ctbody\u003E\n \u003Ctr\u003E\n \u003Ctd\u003E\u003Cimg src=${this.files['diamond_3.png']} style=\"width:100px\"\u003E\u003C\u002Ftd\u003E\n \u003Ctd\u003E\u003Cimg src=${this.files['diamond_2.png']} style=\"width:100px\"\u003E\u003C\u002Ftd\u003E\n \u003Ctd\u003E\u003Cimg src=${this.files['rectangle_3.png']} style=\"width:100px\"\u003E\u003C\u002Ftd\u003E\n \u003Ctd\u003E\u003Cimg src=${this.files['rectangle_2.png']} style=\"width:100px\"\u003E\u003C\u002Ftd\u003E\n \u003C\u002Ftr\u003E\n \u003C\u002Ftbody\u003E\n \u003C\u002Ftable\u003E\n\n\u003C\u002Fdiv\u003E\n\n\u003Cdiv class=\"instruction\" id='screen_2' style=\"display:none\"\u003E\n\n \u003Cp\u003E\n You will be shown these figures in sequences of trials.\n \u003C\u002Fp\u003E\n \u003Cp\u003E\n Each time you will need to respond with a button press.\n \u003C\u002Fp\u003E\n \u003Cp\u003E\n How exactly will be explained in the next screens.\n \u003C\u002Fp\u003E\n\n\u003C\u002Fdiv\u003E\n\n\u003Cdiv class=\"instruction\" id='screen_3' style=\"display:none\"\u003E\n \u003Cp\u003E\n In the shape task, a diamond requires a b button press. \n \u003C\u002Fp\u003E\n \u003Cp\u003E\n In the shape task, a rectangle requires a n button press. \n \u003C\u002Fp\u003E\n \u003Cp\u003E\n In this task, ignore the filling (dots) of the shape!\n \u003C\u002Fp\u003E\n \u003Cimg src=${this.files['shape.png']} style=\"width:400px\"\u003E\n\u003C\u002Fdiv\u003E\n\n\u003Cdiv class=\"instruction\" id='screen_4' style=\"display:none\"\u003E\n \u003Cp\u003E\n In the filling task, a filling of two dots requires a b button press. \n \u003C\u002Fp\u003E\n \u003Cp\u003E\n In the filling task, a filling with three dots requires a n button press. \n \u003C\u002Fp\u003E\n \u003Cp\u003E\n In the filling task, ignore the outer shape!\n \u003C\u002Fp\u003E\n \u003Cimg src=${this.files['filling.png']} style=\"width:400px\"\u003E\n\u003C\u002Fdiv\u003E\n\n\u003Cdiv class=\"instruction\" id='screen_5' style=\"display:none\"\u003E\n \u003Cp\u003E\n Example 1. If you see a figure in the upper part of the frame, you know you need to do the shape task, that is easy, because the word shape is at the top. Here you see a diamond, which requires a button press of the keyboard key \u003Cstrong\u003E\u003Cem\u003Eb\u003C\u002Fem\u003E\u003C\u002Fstrong\u003E\n \u003C\u002Fp\u003E\n \u003Cp\u003E\n In the shape task, entirely ignore the filling dots!!!\n \u003C\u002Fp\u003E\n \u003Cimg src=${this.files['example_1.png']} style=\"width:400px\"\u003E\n\u003C\u002Fdiv\u003E\n\n\u003Cdiv class=\"instruction\" id='screen_6' style=\"display:none\" style=\"width:400px\"\u003E\n \u003Cp\u003E\n Example 2. If you see a figure in the lower part of the frame, you know you need to do the filling task, that is easy, because the word filling is at the bottom. This diamond is filled with 3 dots, and thus press the keyboard key \u003Cstrong\u003E\u003Cem\u003En\u003C\u002Fem\u003E\u003C\u002Fstrong\u003E\n \u003C\u002Fp\u003E\n \u003Cp\u003E\n In the filling task, entirely ignore the outer shape (here a diamond)!!!\n \u003C\u002Fp\u003E\n \u003Cimg src=${this.files['example_2.png']} style=\"width:400px\"\u003E\n\u003C\u002Fdiv\u003E\n\n\u003Cdiv class=\"instruction\" id='screen_7' style=\"display:none\"\u003E\n \u003Cimg src=${this.files['example_3.png']} style=\"width:400px\"\u003E\n \u003Cp\u003E\n Example 3. If you see a figure in the upper part of the frame, you know you need to do the shape task, that is easy, because the word shape is at the top. Here you see a rectangle, which requires the \u003Cstrong\u003E\u003Cem\u003En\u003C\u002Fem\u003E\u003C\u002Fstrong\u003E key.\n \u003C\u002Fp\u003E\n \u003Cp\u003E\n In the shape task, entirely ignore the filling (here 2 dots)!!!\n \u003C\u002Fp\u003E\n\u003C\u002Fdiv\u003E\n\n\u003Cdiv class=\"instruction\" id='screen_8' style=\"display:none\"\u003E\n \u003Cp\u003E\n Example 4. If you see a figure in the lower part of the frame, you know you need to do the filling task, that is easy, because the word filling is at the bottom. This diamond is filled with 2 dots, and thus press \u003Cstrong\u003E\u003Cem\u003Eb\u003C\u002Fem\u003E\u003C\u002Fstrong\u003E key.\n \u003C\u002Fp\u003E\n \u003Cp\u003E\n In the filling task, entirely ignore the outer shape (here a diamond)!!!\n \u003C\u002Fp\u003E\n \u003Cimg src=${this.files['example_4.png']} style=\"width:400px\"\u003E\n\u003C\u002Fdiv\u003E\n\n\n\u003Cdiv class=\"instruction\" id='screen_9' style=\"display:none\"\u003E\n \u003Cp\u003E\n Here, you can see how to respond in all conditions...\n \u003C\u002Fp\u003E\n \u003Cp\u003E\n Just look at shape in the shape task, and at the dots in the filling task...\n \u003C\u002Fp\u003E\n \u003Cimg src=${this.files['all_conditions.png']} style=\"width:400px\"\u003E\n\u003C\u002Fdiv\u003E\n\n\u003Cdiv class=\"instruction\" id='screen_10' style=\"display:none\"\u003E\n \u003Cp\u003E\n Are you ready? Press the \"q\" button on your keyboard to quit the instructions and start doing the task.\n \u003C\u002Fp\u003E\n \u003Cp\u003E\n Or you can browse back to the previous screens until you understand what you need to do in the two tasks (use the arrow keys).\n \u003C\u002Fp\u003E\n\u003C\u002Fdiv\u003E\n\n\u003C\u002Fmain\u003E\n\n\n\u003Cfooter\u003E\n Use left\u002Fright arrow keys to go further or back.\n\u003C\u002Ffooter\u003E" 98 98 + }, 99 99 + { 100 100 + "type": "lab.flow.Loop", 101 101 + "files": {}, 102 102 + "parameters": {}, 103 103 + "templateParameters": [ 104 104 + { 105 105 + "block": "shape", 106 106 + "task": "training", 107 107 + "num_trials": "5" 108 108 + }, 109 109 + { 110 110 + "block": "filling", 111 111 + "task": "training", 112 112 + "num_trials": "5" 113 113 + }, 114 114 + { 115 115 + "block": "mixed", 116 116 + "task": "training", 117 117 + "num_trials": "10" 118 118 + }, 119 119 + { 120 120 + "block": "shape", 121 121 + "task": "main", 122 122 + "num_trials": "15" 123 123 + }, 124 124 + { 125 125 + "block": "filling", 126 126 + "task": "main", 127 127 + "num_trials": "15" 128 128 + }, 129 129 + { 130 130 + "block": "mixed", 131 131 + "task": "main", 132 132 + "num_trials": "30" 133 133 + } 134 134 + ], 135 135 + "sample": { 136 136 + "mode": "sequential", 137 137 + "n": "6" 138 138 + }, 139 139 + "responses": {}, 140 140 + "messageHandlers": {}, 141 141 + "title": "Block loop", 142 142 + "shuffleGroups": [], 143 143 + "template": { 144 144 + "type": "lab.flow.Sequence", 145 145 + "files": {}, 146 146 + "parameters": {}, 147 147 + "responses": {}, 148 148 + "messageHandlers": {}, 149 149 + "title": "Block sequence", 150 150 + "content": [ 151 151 + { 152 152 + "type": "lab.canvas.Screen", 153 153 + "content": [ 154 154 + { 155 155 + "type": "i-text", 156 156 + "version": "2.7.0", 157 157 + "originX": "center", 158 158 + "originY": "center", 159 159 + "left": 0, 160 160 + "top": -112, 161 161 + "width": 103.95, 162 162 + "height": 36.16, 163 163 + "fill": "black", 164 164 + "stroke": null, 165 165 + "strokeWidth": 1, 166 166 + "strokeDashArray": null, 167 167 + "strokeLineCap": "butt", 168 168 + "strokeDashOffset": 0, 169 169 + "strokeLineJoin": "round", 170 170 + "strokeMiterLimit": 4, 171 171 + "scaleX": 1, 172 172 + "scaleY": 1, 173 173 + "angle": 0, 174 174 + "flipX": false, 175 175 + "flipY": false, 176 176 + "opacity": 1, 177 177 + "shadow": null, 178 178 + "visible": true, 179 179 + "clipTo": null, 180 180 + "backgroundColor": "", 181 181 + "fillRule": "nonzero", 182 182 + "paintFirst": "fill", 183 183 + "globalCompositeOperation": "source-over", 184 184 + "transformMatrix": null, 185 185 + "skewX": 0, 186 186 + "skewY": 0, 187 187 + "text": "Ready? 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1076 + "type": "lab.canvas.Screen", 1077 1077 + "content": [ 1078 1078 + { 1079 1079 + "type": "circle", 1080 1080 + "version": "2.7.0", 1081 1081 + "originX": "center", 1082 1082 + "originY": "center", 1083 1083 + "left": 0, 1084 1084 + "top": 0, 1085 1085 + "width": "100", 1086 1086 + "height": 55, 1087 1087 + "fill": "transparent", 1088 1088 + "stroke": "#000000", 1089 1089 + "strokeWidth": 5, 1090 1090 + "strokeDashArray": null, 1091 1091 + "strokeLineCap": "butt", 1092 1092 + "strokeDashOffset": 0, 1093 1093 + "strokeLineJoin": "round", 1094 1094 + "strokeMiterLimit": 4, 1095 1095 + "scaleX": 1, 1096 1096 + "scaleY": 1, 1097 1097 + "angle": 0, 1098 1098 + "flipX": false, 1099 1099 + "flipY": false, 1100 1100 + "opacity": 1, 1101 1101 + "shadow": null, 1102 1102 + "visible": true, 1103 1103 + "clipTo": null, 1104 1104 + "backgroundColor": "", 1105 1105 + "fillRule": "nonzero", 1106 1106 + "paintFirst": "fill", 1107 1107 + "globalCompositeOperation": "source-over", 1108 1108 + 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"lab.flow.Loop", 1178 1178 + "files": {}, 1179 1179 + "parameters": {}, 1180 1180 + "templateParameters": [], 1181 1181 + "sample": { 1182 1182 + "mode": "draw", 1183 1183 + "n": "" 1184 1184 + }, 1185 1185 + "responses": {}, 1186 1186 + "messageHandlers": { 1187 1187 + "before:prepare": function anonymous( 1188 1188 + ) { 1189 1189 + function shuffle(a) { 1190 1190 + var j, x, i 1191 1191 + for (i = a.length - 1; i > 0; i--) { 1192 1192 + j = Math.floor(Math.random() * (i + 1)) 1193 1193 + x = a[i] 1194 1194 + a[i] = a[j] 1195 1195 + a[j] = x 1196 1196 + } 1197 1197 + return a 1198 1198 + } 1199 1199 + 1200 1200 + let tasksParameters = [] 1201 1201 + const blocks = this.parameters.block === 'mixed' ? ['shape', 'filling'] : [this.parameters.block, this.parameters.block] 1202 1202 + 1203 1203 + function trialConstructor(block, dots, form, cor_response) { 1204 1204 + return { 1205 1205 + 'type': block, 1206 1206 + 'dots': dots, 1207 1207 + 'form': form, 1208 1208 + 'cor_response': cor_response 1209 1209 + } 1210 1210 + } 1211 1211 + 1212 1212 + const numberBlocks = Math.ceil(this.parameters.num_trials / 4) 1213 1213 + 1214 1214 + for (let i = 1; i <= numberBlocks; i++){ 1215 1215 + for (let block of blocks){ 1216 1216 + if (block === 'shape'){ 1217 1217 + tasksParameters = tasksParameters.concat(trialConstructor(block, 2, 'diamond', 'b')) 1218 1218 + tasksParameters = tasksParameters.concat(trialConstructor(block, 2, 'square', 'n')) 1219 1219 + tasksParameters = tasksParameters.concat(trialConstructor(block, 3, 'diamond', 'b')) 1220 1220 + tasksParameters = tasksParameters.concat(trialConstructor(block, 3, 'square', 'n')) 1221 1221 + } else if(block === 'filling'){ 1222 1222 + tasksParameters = tasksParameters.concat(trialConstructor(block, 2, 'diamond', 'b')) 1223 1223 + tasksParameters = tasksParameters.concat(trialConstructor(block, 2, 'square', 'b')) 1224 1224 + tasksParameters = tasksParameters.concat(trialConstructor(block, 3, 'diamond', 'n')) 1225 1225 + tasksParameters = tasksParameters.concat(trialConstructor(block, 3, 'square', 'n')) 1226 1226 + } 1227 1227 + } 1228 1228 + } 1229 1229 + 1230 1230 + const tasksParametersShuffled = shuffle(tasksParameters) 1231 1231 + // assign options values to parameters of this task 1232 1232 + this.options.templateParameters = tasksParametersShuffled.slice(0, this.parameters.num_trials) 1233 1233 + } 1234 1234 + }, 1235 1235 + "title": "Trial loop", 1236 1236 + "shuffleGroups": [], 1237 1237 + "template": { 1238 1238 + "type": "lab.flow.Sequence", 1239 1239 + "files": {}, 1240 1240 + "parameters": {}, 1241 1241 + "responses": {}, 1242 1242 + "messageHandlers": {}, 1243 1243 + "title": "Trial sequence", 1244 1244 + "content": [ 1245 1245 + { 1246 1246 + "type": "lab.canvas.Screen", 1247 1247 + "content": [ 1248 1248 + { 1249 1249 + "type": "rect", 1250 1250 + "version": "2.7.0", 1251 1251 + "originX": "center", 1252 1252 + "originY": "center", 1253 1253 + "left": 0, 1254 1254 + "top": 0, 1255 1255 + "width": 400, 1256 1256 + "height": 300, 1257 1257 + "fill": "transparent", 1258 1258 + "stroke": "#000000", 1259 1259 + "strokeWidth": 1, 1260 1260 + "strokeDashArray": null, 1261 1261 + "strokeLineCap": "butt", 1262 1262 + "strokeDashOffset": 0, 1263 1263 + "strokeLineJoin": "round", 1264 1264 + "strokeMiterLimit": 4, 1265 1265 + "scaleX": 1, 1266 1266 + "scaleY": 1, 1267 1267 + "angle": 0, 1268 1268 + "flipX": false, 1269 1269 + "flipY": false, 1270 1270 + "opacity": 1, 1271 1271 + "shadow": null, 1272 1272 + "visible": true, 1273 1273 + "clipTo": null, 1274 1274 + "backgroundColor": "", 1275 1275 + "fillRule": "nonzero", 1276 1276 + "paintFirst": "fill", 1277 1277 + "globalCompositeOperation": 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"center", 1441 1441 + "left": "${this.parameters.dots === 3 ? 0 : 1000}", 1442 1442 + "top": "${this.parameters.type === 'shape' ? -75 : 75}", 1443 1443 + "width": 20, 1444 1444 + "height": 20, 1445 1445 + "fill": "black", 1446 1446 + "stroke": null, 1447 1447 + "strokeWidth": 1, 1448 1448 + "strokeDashArray": null, 1449 1449 + "strokeLineCap": "butt", 1450 1450 + "strokeDashOffset": 0, 1451 1451 + "strokeLineJoin": "round", 1452 1452 + "strokeMiterLimit": 4, 1453 1453 + "scaleX": 1, 1454 1454 + "scaleY": 1, 1455 1455 + "angle": 0, 1456 1456 + "flipX": false, 1457 1457 + "flipY": false, 1458 1458 + "opacity": 1, 1459 1459 + "shadow": null, 1460 1460 + "visible": true, 1461 1461 + "clipTo": null, 1462 1462 + "backgroundColor": "", 1463 1463 + "fillRule": "nonzero", 1464 1464 + "paintFirst": "fill", 1465 1465 + "globalCompositeOperation": "source-over", 1466 1466 + "transformMatrix": null, 1467 1467 + "skewX": 0, 1468 1468 + "skewY": 0, 1469 1469 + "radius": 10, 1470 1470 + "startAngle": 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true, 1537 1537 + "clipTo": null, 1538 1538 + "backgroundColor": "", 1539 1539 + "fillRule": "nonzero", 1540 1540 + "paintFirst": "fill", 1541 1541 + "globalCompositeOperation": "source-over", 1542 1542 + "transformMatrix": null, 1543 1543 + "skewX": 0, 1544 1544 + "skewY": 0, 1545 1545 + "text": "Shape", 1546 1546 + "fontSize": 32, 1547 1547 + "fontWeight": "normal", 1548 1548 + "fontFamily": "sans-serif", 1549 1549 + "fontStyle": "normal", 1550 1550 + "lineHeight": 1.16, 1551 1551 + "underline": false, 1552 1552 + "overline": false, 1553 1553 + "linethrough": false, 1554 1554 + "textAlign": "center", 1555 1555 + "textBackgroundColor": "", 1556 1556 + "charSpacing": 0, 1557 1557 + "id": "112", 1558 1558 + "styles": {} 1559 1559 + }, 1560 1560 + { 1561 1561 + "type": "i-text", 1562 1562 + "version": "2.7.0", 1563 1563 + "originX": "center", 1564 1564 + "originY": "center", 1565 1565 + "left": 0, 1566 1566 + "top": "195", 1567 1567 + "width": 85.36, 1568 1568 + "height": 36.16, 1569 1569 + "fill": "#000000", 1570 1570 + "stroke": null, 1571 1571 + "strokeWidth": 1, 1572 1572 + "strokeDashArray": null, 1573 1573 + "strokeLineCap": "butt", 1574 1574 + "strokeDashOffset": 0, 1575 1575 + "strokeLineJoin": "round", 1576 1576 + "strokeMiterLimit": 4, 1577 1577 + "scaleX": 1, 1578 1578 + "scaleY": 1, 1579 1579 + "angle": 0, 1580 1580 + "flipX": false, 1581 1581 + "flipY": false, 1582 1582 + "opacity": 1, 1583 1583 + "shadow": null, 1584 1584 + "visible": true, 1585 1585 + "clipTo": null, 1586 1586 + "backgroundColor": "", 1587 1587 + "fillRule": "nonzero", 1588 1588 + "paintFirst": "fill", 1589 1589 + "globalCompositeOperation": "source-over", 1590 1590 + "transformMatrix": null, 1591 1591 + "skewX": 0, 1592 1592 + "skewY": 0, 1593 1593 + "text": "Filling", 1594 1594 + "fontSize": 32, 1595 1595 + "fontWeight": "normal", 1596 1596 + "fontFamily": "sans-serif", 1597 1597 + "fontStyle": "normal", 1598 1598 + "lineHeight": 1.16, 1599 1599 + "underline": false, 1600 1600 + "overline": false, 1601 1601 + "linethrough": false, 1602 1602 + "textAlign": "center", 1603 1603 + "textBackgroundColor": "", 1604 1604 + "charSpacing": 0, 1605 1605 + "id": "113", 1606 1606 + "styles": {} 1607 1607 + } 1608 1608 + ], 1609 1609 + "files": {}, 1610 1610 + "parameters": {}, 1611 1611 + "responses": { 1612 1612 + "keypress(b)": "b", 1613 1613 + "keypress(n)": "n" 1614 1614 + }, 1615 1615 + "messageHandlers": { 1616 1616 + "run": function anonymous( 1617 1617 + ) { 1618 1618 + this.data.correct = 'empty' 1619 1619 + } 1620 1620 + }, 1621 1621 + "viewport": [ 1622 1622 + 800, 1623 1623 + 600 1624 1624 + ], 1625 1625 + "title": "Stimulus", 1626 1626 + "correctResponse": "${parameters.cor_response}", 1627 1627 + "timeout": "5000" 1628 1628 + }, 1629 1629 + { 1630 1630 + "type": "lab.canvas.Screen", 1631 1631 + "content": [ 1632 1632 + { 1633 1633 + "type": "i-text", 1634 1634 + "version": "2.7.0", 1635 1635 + "originX": "center", 1636 1636 + "originY": "center", 1637 1637 + "left": 0, 1638 1638 + "top": 0, 1639 1639 + "width": 655.95, 1640 1640 + "height": 36.16, 1641 1641 + "fill": "black", 1642 1642 + "stroke": null, 1643 1643 + "strokeWidth": 1, 1644 1644 + "strokeDashArray": null, 1645 1645 + "strokeLineCap": "butt", 1646 1646 + "strokeDashOffset": 0, 1647 1647 + "strokeLineJoin": "round", 1648 1648 + "strokeMiterLimit": 4, 1649 1649 + "scaleX": 1, 1650 1650 + "scaleY": 1, 1651 1651 + "angle": 0, 1652 1652 + "flipX": false, 1653 1653 + "flipY": false, 1654 1654 + "opacity": 1, 1655 1655 + "shadow": null, 1656 1656 + "visible": true, 1657 1657 + "clipTo": null, 1658 1658 + "backgroundColor": "", 1659 1659 + "fillRule": "nonzero", 1660 1660 + "paintFirst": "fill", 1661 1661 + "globalCompositeOperation": "source-over", 1662 1662 + "transformMatrix": null, 1663 1663 + "skewX": 0, 1664 1664 + "skewY": 0, 1665 1665 + "text": "${this.state.correct ? '' : 'That was the wrong key.'} ", 1666 1666 + "fontSize": 32, 1667 1667 + "fontWeight": "normal", 1668 1668 + "fontFamily": "sans-serif", 1669 1669 + "fontStyle": "normal", 1670 1670 + "lineHeight": 1.16, 1671 1671 + "underline": false, 1672 1672 + "overline": false, 1673 1673 + "linethrough": false, 1674 1674 + "textAlign": "center", 1675 1675 + "textBackgroundColor": "", 1676 1676 + "charSpacing": 0, 1677 1677 + "id": "37", 1678 1678 + "styles": {} 1679 1679 + }, 1680 1680 + { 1681 1681 + "type": "i-text", 1682 1682 + "version": "2.7.0", 1683 1683 + "originX": "center", 1684 1684 + "originY": "center", 1685 1685 + "left": 0, 1686 1686 + "top": 0, 1687 1687 + "width": 688.19, 1688 1688 + "height": 36.16, 1689 1689 + "fill": "black", 1690 1690 + "stroke": null, 1691 1691 + "strokeWidth": 1, 1692 1692 + "strokeDashArray": null, 1693 1693 + "strokeLineCap": "butt", 1694 1694 + "strokeDashOffset": 0, 1695 1695 + "strokeLineJoin": "round", 1696 1696 + "strokeMiterLimit": 4, 1697 1697 + "scaleX": 1, 1698 1698 + "scaleY": 1, 1699 1699 + "angle": 0, 1700 1700 + "flipX": false, 1701 1701 + "flipY": false, 1702 1702 + "opacity": 1, 1703 1703 + "shadow": null, 1704 1704 + "visible": true, 1705 1705 + "clipTo": null, 1706 1706 + "backgroundColor": "", 1707 1707 + "fillRule": "nonzero", 1708 1708 + "paintFirst": "fill", 1709 1709 + "globalCompositeOperation": "source-over", 1710 1710 + "transformMatrix": null, 1711 1711 + "skewX": 0, 1712 1712 + "skewY": 0, 1713 1713 + "text": "${this.state.correct === 'empty' ? 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0 : 1000} ", 1772 1772 + "width": 400, 1773 1773 + "height": 0, 1774 1774 + "fill": "rgb(0,0,0)", 1775 1775 + "stroke": "black", 1776 1776 + "strokeWidth": 1, 1777 1777 + "strokeDashArray": null, 1778 1778 + "strokeLineCap": "butt", 1779 1779 + "strokeDashOffset": 0, 1780 1780 + "strokeLineJoin": "round", 1781 1781 + "strokeMiterLimit": 4, 1782 1782 + "scaleX": 1, 1783 1783 + "scaleY": 1, 1784 1784 + "angle": 0, 1785 1785 + "flipX": false, 1786 1786 + "flipY": false, 1787 1787 + "opacity": 1, 1788 1788 + "shadow": null, 1789 1789 + "visible": true, 1790 1790 + "clipTo": null, 1791 1791 + "backgroundColor": "", 1792 1792 + "fillRule": "nonzero", 1793 1793 + "paintFirst": "fill", 1794 1794 + "globalCompositeOperation": "source-over", 1795 1795 + "transformMatrix": null, 1796 1796 + "skewX": 0, 1797 1797 + "skewY": 0, 1798 1798 + "id": "125", 1799 1799 + "x1": -200, 1800 1800 + "x2": 200, 1801 1801 + "y1": 0, 1802 1802 + "y2": 0 1803 1803 + }, 1804 1804 + { 1805 1805 + "type": "i-text", 1806 1806 + "version": "2.7.0", 1807 1807 + "originX": "center", 1808 1808 + "originY": "center", 1809 1809 + "left": 0, 1810 1810 + "top": "-195", 1811 1811 + "width": 78.2, 1812 1812 + "height": 36.16, 1813 1813 + "fill": "#000000", 1814 1814 + "stroke": null, 1815 1815 + "strokeWidth": 1, 1816 1816 + "strokeDashArray": null, 1817 1817 + "strokeLineCap": "butt", 1818 1818 + "strokeDashOffset": 0, 1819 1819 + "strokeLineJoin": "round", 1820 1820 + "strokeMiterLimit": 4, 1821 1821 + "scaleX": 1, 1822 1822 + "scaleY": 1, 1823 1823 + "angle": 0, 1824 1824 + "flipX": false, 1825 1825 + "flipY": false, 1826 1826 + "opacity": 1, 1827 1827 + "shadow": null, 1828 1828 + "visible": true, 1829 1829 + "clipTo": null, 1830 1830 + "backgroundColor": "", 1831 1831 + "fillRule": "nonzero", 1832 1832 + "paintFirst": "fill", 1833 1833 + "globalCompositeOperation": "source-over", 1834 1834 + "transformMatrix": null, 1835 1835 + "skewX": 0, 1836 1836 + "skewY": 0, 1837 1837 + "text": "Shape", 1838 1838 + "fontSize": 32, 1839 1839 + "fontWeight": "normal", 1840 1840 + "fontFamily": "sans-serif", 1841 1841 + "fontStyle": "normal", 1842 1842 + "lineHeight": 1.16, 1843 1843 + "underline": false, 1844 1844 + "overline": false, 1845 1845 + "linethrough": false, 1846 1846 + "textAlign": "center", 1847 1847 + "textBackgroundColor": "", 1848 1848 + "charSpacing": 0, 1849 1849 + "id": "126", 1850 1850 + "styles": {} 1851 1851 + }, 1852 1852 + { 1853 1853 + "type": "i-text", 1854 1854 + "version": "2.7.0", 1855 1855 + "originX": "center", 1856 1856 + "originY": "center", 1857 1857 + "left": 0, 1858 1858 + "top": "195", 1859 1859 + "width": 85.36, 1860 1860 + "height": 36.16, 1861 1861 + "fill": "#000000", 1862 1862 + "stroke": null, 1863 1863 + "strokeWidth": 1, 1864 1864 + "strokeDashArray": null, 1865 1865 + "strokeLineCap": "butt", 1866 1866 + "strokeDashOffset": 0, 1867 1867 + "strokeLineJoin": "round", 1868 1868 + "strokeMiterLimit": 4, 1869 1869 + "scaleX": 1, 1870 1870 + "scaleY": 1, 1871 1871 + "angle": 0, 1872 1872 + "flipX": false, 1873 1873 + "flipY": false, 1874 1874 + "opacity": 1, 1875 1875 + "shadow": null, 1876 1876 + "visible": true, 1877 1877 + "clipTo": null, 1878 1878 + "backgroundColor": "", 1879 1879 + "fillRule": "nonzero", 1880 1880 + "paintFirst": "fill", 1881 1881 + "globalCompositeOperation": "source-over", 1882 1882 + "transformMatrix": null, 1883 1883 + "skewX": 0, 1884 1884 + "skewY": 0, 1885 1885 + "text": "Filling", 1886 1886 + "fontSize": 32, 1887 1887 + "fontWeight": "normal", 1888 1888 + "fontFamily": "sans-serif", 1889 1889 + "fontStyle": "normal", 1890 1890 + "lineHeight": 1.16, 1891 1891 + "underline": false, 1892 1892 + "overline": false, 1893 1893 + "linethrough": false, 1894 1894 + "textAlign": "center", 1895 1895 + "textBackgroundColor": "", 1896 1896 + "charSpacing": 0, 1897 1897 + "id": "127", 1898 1898 + "styles": {} 1899 1899 + } 1900 1900 + ], 1901 1901 + "files": {}, 1902 1902 + "parameters": {}, 1903 1903 + "responses": {}, 1904 1904 + "messageHandlers": { 1905 1905 + "before:prepare": function anonymous( 1906 1906 + ) { 1907 1907 + 1908 1908 + this.data.trial_number = 1 + parseInt(this.options.id.split('_')[this.options.id.split('_').length-2]); 1909 1909 + this.data.condition = this.parameters.type.charAt(0).toUpperCase() + this.parameters.type.slice(1); 1910 1910 + this.data.reaction_time = this.state.duration; 1911 1911 + 1912 1912 + if(this.state.response === this.parameters.cor_response){ 1913 1913 + this.data.correct_response = true; 1914 1914 + } else { 1915 1915 + this.data.correct_response = false; 1916 1916 + } 1917 1917 + 1918 1918 + this.data.response_given = this.state.correct === 'empty' ? 'no' : 'yes'; 1919 1919 + 1920 1920 + 1921 1921 + 1922 1922 + 1923 1923 + 1924 1924 + } 1925 1925 + }, 1926 1926 + "viewport": [ 1927 1927 + 800, 1928 1928 + 600 1929 1929 + ], 1930 1930 + "title": "Feedback", 1931 1931 + "timeout": "1000", 1932 1932 + "tardy": true 1933 1933 + }, 1934 1934 + { 1935 1935 + "type": "lab.canvas.Screen", 1936 1936 + "content": [ 1937 1937 + { 1938 1938 + "type": "rect", 1939 1939 + "version": "2.7.0", 1940 1940 + "originX": "center", 1941 1941 + "originY": "center", 1942 1942 + "left": 0, 1943 1943 + "top": 0, 1944 1944 + "width": 400, 1945 1945 + "height": 300, 1946 1946 + "fill": "transparent", 1947 1947 + "stroke": "#000000", 1948 1948 + "strokeWidth": 1, 1949 1949 + "strokeDashArray": null, 1950 1950 + "strokeLineCap": "butt", 1951 1951 + "strokeDashOffset": 0, 1952 1952 + "strokeLineJoin": "round", 1953 1953 + "strokeMiterLimit": 4, 1954 1954 + "scaleX": 1, 1955 1955 + "scaleY": 1, 1956 1956 + "angle": 0, 1957 1957 + "flipX": false, 1958 1958 + "flipY": false, 1959 1959 + "opacity": 1, 1960 1960 + "shadow": null, 1961 1961 + "visible": true, 1962 1962 + "clipTo": null, 1963 1963 + "backgroundColor": "", 1964 1964 + "fillRule": "nonzero", 1965 1965 + "paintFirst": "fill", 1966 1966 + "globalCompositeOperation": "source-over", 1967 1967 + "transformMatrix": null, 1968 1968 + "skewX": 0, 1969 1969 + "skewY": 0, 1970 1970 + "rx": 0, 1971 1971 + "ry": 0, 1972 1972 + "id": "123" 1973 1973 + }, 1974 1974 + { 1975 1975 + "type": "line", 1976 1976 + "version": "2.7.0", 1977 1977 + "originX": "center", 1978 1978 + "originY": "center", 1979 1979 + "left": 0, 1980 1980 + "top": 0, 1981 1981 + "width": "400", 1982 1982 + "height": 0, 1983 1983 + "fill": "rgb(0,0,0)", 1984 1984 + "stroke": "black", 1985 1985 + "strokeWidth": 1, 1986 1986 + "strokeDashArray": null, 1987 1987 + "strokeLineCap": "butt", 1988 1988 + "strokeDashOffset": 0, 1989 1989 + "strokeLineJoin": "round", 1990 1990 + "strokeMiterLimit": 4, 1991 1991 + "scaleX": 1, 1992 1992 + "scaleY": 1, 1993 1993 + "angle": 0, 1994 1994 + "flipX": false, 1995 1995 + "flipY": false, 1996 1996 + "opacity": 1, 1997 1997 + "shadow": null, 1998 1998 + "visible": true, 1999 1999 + "clipTo": null, 2000 2000 + "backgroundColor": "", 2001 2001 + "fillRule": "nonzero", 2002 2002 + "paintFirst": "fill", 2003 2003 + "globalCompositeOperation": "source-over", 2004 2004 + "transformMatrix": null, 2005 2005 + "skewX": 0, 2006 2006 + "skewY": 0, 2007 2007 + "id": "124", 2008 2008 + "x1": -50, 2009 2009 + "x2": 50, 2010 2010 + "y1": 0, 2011 2011 + "y2": 0 2012 2012 + }, 2013 2013 + { 2014 2014 + "type": "i-text", 2015 2015 + "version": "2.7.0", 2016 2016 + "originX": "center", 2017 2017 + "originY": "center", 2018 2018 + "left": 0, 2019 2019 + "top": -195, 2020 2020 + "width": 78.2, 2021 2021 + "height": 36.16, 2022 2022 + "fill": "${this.parameters.type === 'shape' ? 'black' : 'lightgrey'}", 2023 2023 + "stroke": null, 2024 2024 + "strokeWidth": 1, 2025 2025 + "strokeDashArray": null, 2026 2026 + "strokeLineCap": "butt", 2027 2027 + "strokeDashOffset": 0, 2028 2028 + "strokeLineJoin": "round", 2029 2029 + "strokeMiterLimit": 4, 2030 2030 + "scaleX": 1, 2031 2031 + "scaleY": 1, 2032 2032 + "angle": 0, 2033 2033 + "flipX": false, 2034 2034 + "flipY": false, 2035 2035 + "opacity": 1, 2036 2036 + "shadow": null, 2037 2037 + "visible": true, 2038 2038 + "clipTo": null, 2039 2039 + "backgroundColor": "", 2040 2040 + "fillRule": "nonzero", 2041 2041 + "paintFirst": "fill", 2042 2042 + "globalCompositeOperation": "source-over", 2043 2043 + "transformMatrix": null, 2044 2044 + "skewX": 0, 2045 2045 + "skewY": 0, 2046 2046 + "text": "Shape", 2047 2047 + "fontSize": 32, 2048 2048 + "fontWeight": "normal", 2049 2049 + "fontFamily": "sans-serif", 2050 2050 + "fontStyle": "normal", 2051 2051 + "lineHeight": 1.16, 2052 2052 + "underline": false, 2053 2053 + "overline": false, 2054 2054 + "linethrough": false, 2055 2055 + "textAlign": "center", 2056 2056 + "textBackgroundColor": "", 2057 2057 + "charSpacing": 0, 2058 2058 + "id": "128", 2059 2059 + "styles": {} 2060 2060 + }, 2061 2061 + { 2062 2062 + "type": "i-text", 2063 2063 + "version": "2.7.0", 2064 2064 + "originX": "center", 2065 2065 + "originY": "center", 2066 2066 + "left": 0, 2067 2067 + "top": "195", 2068 2068 + "width": 85.36, 2069 2069 + "height": 36.16, 2070 2070 + "fill": "${this.parameters.type === 'filling' ? 'black' : 'lightgrey'}", 2071 2071 + "stroke": null, 2072 2072 + "strokeWidth": 1, 2073 2073 + "strokeDashArray": null, 2074 2074 + "strokeLineCap": "butt", 2075 2075 + "strokeDashOffset": 0, 2076 2076 + "strokeLineJoin": "round", 2077 2077 + "strokeMiterLimit": 4, 2078 2078 + "scaleX": 1, 2079 2079 + "scaleY": 1, 2080 2080 + "angle": 0, 2081 2081 + "flipX": false, 2082 2082 + "flipY": false, 2083 2083 + "opacity": 1, 2084 2084 + "shadow": null, 2085 2085 + "visible": true, 2086 2086 + "clipTo": null, 2087 2087 + "backgroundColor": "", 2088 2088 + "fillRule": "nonzero", 2089 2089 + "paintFirst": "fill", 2090 2090 + "globalCompositeOperation": "source-over", 2091 2091 + "transformMatrix": null, 2092 2092 + "skewX": 0, 2093 2093 + "skewY": 0, 2094 2094 + "text": "Filling", 2095 2095 + "fontSize": 32, 2096 2096 + "fontWeight": "normal", 2097 2097 + "fontFamily": "sans-serif", 2098 2098 + "fontStyle": "normal", 2099 2099 + "lineHeight": 1.16, 2100 2100 + "underline": false, 2101 2101 + "overline": false, 2102 2102 + "linethrough": false, 2103 2103 + "textAlign": "center", 2104 2104 + "textBackgroundColor": "", 2105 2105 + "charSpacing": 0, 2106 2106 + "id": "129", 2107 2107 + "styles": {} 2108 2108 + }, 2109 2109 + { 2110 2110 + "type": "rect", 2111 2111 + "version": "2.7.0", 2112 2112 + "originX": "center", 2113 2113 + "originY": "center", 2114 2114 + "left": "120", 2115 2115 + "top": "${this.parameters.type === 'shape' ? -90 : 1000}", 2116 2116 + "width": 80, 2117 2117 + "height": 80, 2118 2118 + "fill": "transparent", 2119 2119 + "stroke": "#000000", 2120 2120 + "strokeWidth": 1, 2121 2121 + "strokeDashArray": null, 2122 2122 + "strokeLineCap": "butt", 2123 2123 + "strokeDashOffset": 0, 2124 2124 + "strokeLineJoin": "round", 2125 2125 + "strokeMiterLimit": 4, 2126 2126 + "scaleX": 1, 2127 2127 + "scaleY": 1, 2128 2128 + "angle": 0, 2129 2129 + "flipX": false, 2130 2130 + "flipY": false, 2131 2131 + "opacity": 1, 2132 2132 + "shadow": null, 2133 2133 + "visible": true, 2134 2134 + "clipTo": null, 2135 2135 + "backgroundColor": "", 2136 2136 + "fillRule": "nonzero", 2137 2137 + "paintFirst": "fill", 2138 2138 + "globalCompositeOperation": "source-over", 2139 2139 + "transformMatrix": null, 2140 2140 + "skewX": 0, 2141 2141 + "skewY": 0, 2142 2142 + "rx": 0, 2143 2143 + "ry": 0, 2144 2144 + "id": "130" 2145 2145 + }, 2146 2146 + { 2147 2147 + "type": "rect", 2148 2148 + "version": "2.7.0", 2149 2149 + "originX": "center", 2150 2150 + "originY": "center", 2151 2151 + "left": "-120", 2152 2152 + "top": "${this.parameters.type === 'shape' ? -90 : 1000}", 2153 2153 + "width": 60, 2154 2154 + "height": 60, 2155 2155 + "fill": "transparent", 2156 2156 + "stroke": "#000000", 2157 2157 + "strokeWidth": 1, 2158 2158 + "strokeDashArray": null, 2159 2159 + "strokeLineCap": "butt", 2160 2160 + "strokeDashOffset": 0, 2161 2161 + "strokeLineJoin": "round", 2162 2162 + "strokeMiterLimit": 4, 2163 2163 + "scaleX": 1, 2164 2164 + "scaleY": 1, 2165 2165 + "angle": 315, 2166 2166 + "flipX": false, 2167 2167 + "flipY": false, 2168 2168 + "opacity": 1, 2169 2169 + "shadow": null, 2170 2170 + "visible": true, 2171 2171 + "clipTo": null, 2172 2172 + "backgroundColor": "", 2173 2173 + "fillRule": "nonzero", 2174 2174 + "paintFirst": "fill", 2175 2175 + "globalCompositeOperation": "source-over", 2176 2176 + "transformMatrix": null, 2177 2177 + "skewX": 0, 2178 2178 + "skewY": 0, 2179 2179 + "rx": 0, 2180 2180 + "ry": 0, 2181 2181 + "id": "131" 2182 2182 + }, 2183 2183 + { 2184 2184 + "type": "i-text", 2185 2185 + "version": "2.7.0", 2186 2186 + "originX": "center", 2187 2187 + "originY": "center", 2188 2188 + "left": "-120", 2189 2189 + "top": "${this.parameters.type === 'shape' ? -25 : 1000}", 2190 2190 + "width": 16, 2191 2191 + "height": 36.16, 2192 2192 + "fill": "black", 2193 2193 + "stroke": null, 2194 2194 + "strokeWidth": 1, 2195 2195 + "strokeDashArray": null, 2196 2196 + "strokeLineCap": "butt", 2197 2197 + "strokeDashOffset": 0, 2198 2198 + "strokeLineJoin": "round", 2199 2199 + "strokeMiterLimit": 4, 2200 2200 + "scaleX": 1, 2201 2201 + "scaleY": 1, 2202 2202 + "angle": 0, 2203 2203 + "flipX": false, 2204 2204 + "flipY": false, 2205 2205 + "opacity": 1, 2206 2206 + "shadow": null, 2207 2207 + "visible": true, 2208 2208 + "clipTo": null, 2209 2209 + "backgroundColor": "", 2210 2210 + "fillRule": "nonzero", 2211 2211 + "paintFirst": "fill", 2212 2212 + "globalCompositeOperation": "source-over", 2213 2213 + "transformMatrix": null, 2214 2214 + "skewX": 0, 2215 2215 + "skewY": 0, 2216 2216 + "text": "b", 2217 2217 + "fontSize": 32, 2218 2218 + "fontWeight": "normal", 2219 2219 + "fontFamily": "Times New Roman", 2220 2220 + "fontStyle": "normal", 2221 2221 + "lineHeight": 1.16, 2222 2222 + "underline": false, 2223 2223 + "overline": false, 2224 2224 + "linethrough": false, 2225 2225 + "textAlign": "center", 2226 2226 + "textBackgroundColor": "", 2227 2227 + "charSpacing": 0, 2228 2228 + "id": "132", 2229 2229 + "styles": {} 2230 2230 + }, 2231 2231 + { 2232 2232 + "type": "i-text", 2233 2233 + "version": "2.7.0", 2234 2234 + "originX": "center", 2235 2235 + "originY": "center", 2236 2236 + "left": "120", 2237 2237 + "top": "${this.parameters.type === 'shape' ? -25 : 1000}", 2238 2238 + "width": 16, 2239 2239 + "height": 36.16, 2240 2240 + "fill": "black", 2241 2241 + "stroke": null, 2242 2242 + "strokeWidth": 1, 2243 2243 + "strokeDashArray": null, 2244 2244 + "strokeLineCap": "butt", 2245 2245 + "strokeDashOffset": 0, 2246 2246 + "strokeLineJoin": "round", 2247 2247 + "strokeMiterLimit": 4, 2248 2248 + "scaleX": 1, 2249 2249 + "scaleY": 1, 2250 2250 + "angle": 0, 2251 2251 + "flipX": false, 2252 2252 + "flipY": false, 2253 2253 + "opacity": 1, 2254 2254 + "shadow": null, 2255 2255 + "visible": true, 2256 2256 + "clipTo": null, 2257 2257 + "backgroundColor": "", 2258 2258 + "fillRule": "nonzero", 2259 2259 + "paintFirst": "fill", 2260 2260 + "globalCompositeOperation": "source-over", 2261 2261 + "transformMatrix": null, 2262 2262 + "skewX": 0, 2263 2263 + "skewY": 0, 2264 2264 + "text": "n", 2265 2265 + "fontSize": 32, 2266 2266 + "fontWeight": "normal", 2267 2267 + "fontFamily": "Times New Roman", 2268 2268 + "fontStyle": "normal", 2269 2269 + "lineHeight": 1.16, 2270 2270 + "underline": false, 2271 2271 + "overline": false, 2272 2272 + "linethrough": false, 2273 2273 + "textAlign": "center", 2274 2274 + "textBackgroundColor": "", 2275 2275 + "charSpacing": 0, 2276 2276 + "id": "133", 2277 2277 + "styles": {} 2278 2278 + }, 2279 2279 + { 2280 2280 + "type": "i-text", 2281 2281 + "version": "2.7.0", 2282 2282 + "originX": "center", 2283 2283 + "originY": "center", 2284 2284 + "left": "-120", 2285 2285 + "top": "${this.parameters.type === 'filling' ? 125 : 1000}", 2286 2286 + "width": 16, 2287 2287 + "height": 36.16, 2288 2288 + "fill": "black", 2289 2289 + "stroke": null, 2290 2290 + "strokeWidth": 1, 2291 2291 + "strokeDashArray": null, 2292 2292 + "strokeLineCap": "butt", 2293 2293 + "strokeDashOffset": 0, 2294 2294 + "strokeLineJoin": "round", 2295 2295 + "strokeMiterLimit": 4, 2296 2296 + "scaleX": 1, 2297 2297 + "scaleY": 1, 2298 2298 + "angle": 0, 2299 2299 + "flipX": false, 2300 2300 + "flipY": false, 2301 2301 + "opacity": 1, 2302 2302 + "shadow": null, 2303 2303 + "visible": true, 2304 2304 + "clipTo": null, 2305 2305 + "backgroundColor": "", 2306 2306 + "fillRule": "nonzero", 2307 2307 + "paintFirst": "fill", 2308 2308 + "globalCompositeOperation": "source-over", 2309 2309 + "transformMatrix": null, 2310 2310 + "skewX": 0, 2311 2311 + "skewY": 0, 2312 2312 + "text": "b", 2313 2313 + "fontSize": 32, 2314 2314 + "fontWeight": "normal", 2315 2315 + "fontFamily": "Times New Roman", 2316 2316 + "fontStyle": "normal", 2317 2317 + "lineHeight": 1.16, 2318 2318 + "underline": false, 2319 2319 + "overline": false, 2320 2320 + "linethrough": false, 2321 2321 + "textAlign": "center", 2322 2322 + "textBackgroundColor": "", 2323 2323 + "charSpacing": 0, 2324 2324 + "id": "134", 2325 2325 + "styles": {} 2326 2326 + }, 2327 2327 + { 2328 2328 + "type": "i-text", 2329 2329 + "version": "2.7.0", 2330 2330 + "originX": "center", 2331 2331 + "originY": "center", 2332 2332 + "left": "120", 2333 2333 + "top": "${this.parameters.type === 'filling' ? 125 : 1000}", 2334 2334 + "width": 16, 2335 2335 + "height": 36.16, 2336 2336 + "fill": "black", 2337 2337 + "stroke": null, 2338 2338 + "strokeWidth": 1, 2339 2339 + "strokeDashArray": null, 2340 2340 + "strokeLineCap": "butt", 2341 2341 + "strokeDashOffset": 0, 2342 2342 + "strokeLineJoin": "round", 2343 2343 + "strokeMiterLimit": 4, 2344 2344 + "scaleX": 1, 2345 2345 + "scaleY": 1, 2346 2346 + "angle": 0, 2347 2347 + "flipX": false, 2348 2348 + "flipY": false, 2349 2349 + "opacity": 1, 2350 2350 + "shadow": null, 2351 2351 + "visible": true, 2352 2352 + "clipTo": null, 2353 2353 + "backgroundColor": "", 2354 2354 + "fillRule": "nonzero", 2355 2355 + "paintFirst": "fill", 2356 2356 + "globalCompositeOperation": "source-over", 2357 2357 + "transformMatrix": null, 2358 2358 + "skewX": 0, 2359 2359 + "skewY": 0, 2360 2360 + "text": "n", 2361 2361 + "fontSize": 32, 2362 2362 + "fontWeight": "normal", 2363 2363 + "fontFamily": "Times New Roman", 2364 2364 + "fontStyle": "normal", 2365 2365 + "lineHeight": 1.16, 2366 2366 + "underline": false, 2367 2367 + "overline": false, 2368 2368 + "linethrough": false, 2369 2369 + "textAlign": "center", 2370 2370 + "textBackgroundColor": "", 2371 2371 + "charSpacing": 0, 2372 2372 + "id": "135", 2373 2373 + "styles": {} 2374 2374 + }, 2375 2375 + { 2376 2376 + "type": "circle", 2377 2377 + "version": "2.7.0", 2378 2378 + "originX": "center", 2379 2379 + "originY": "center", 2380 2380 + "left": "-120", 2381 2381 + "top": "${this.parameters.type === 'filling' ? 30 : 1000}", 2382 2382 + "width": 20, 2383 2383 + "height": 20, 2384 2384 + "fill": "black", 2385 2385 + "stroke": null, 2386 2386 + "strokeWidth": 1, 2387 2387 + "strokeDashArray": null, 2388 2388 + "strokeLineCap": "butt", 2389 2389 + "strokeDashOffset": 0, 2390 2390 + "strokeLineJoin": "round", 2391 2391 + "strokeMiterLimit": 4, 2392 2392 + "scaleX": 1, 2393 2393 + "scaleY": 1, 2394 2394 + "angle": 0, 2395 2395 + "flipX": false, 2396 2396 + "flipY": false, 2397 2397 + "opacity": 1, 2398 2398 + "shadow": null, 2399 2399 + "visible": true, 2400 2400 + "clipTo": null, 2401 2401 + "backgroundColor": "", 2402 2402 + "fillRule": "nonzero", 2403 2403 + "paintFirst": "fill", 2404 2404 + "globalCompositeOperation": "source-over", 2405 2405 + "transformMatrix": null, 2406 2406 + "skewX": 0, 2407 2407 + "skewY": 0, 2408 2408 + "radius": 10, 2409 2409 + "startAngle": 0, 2410 2410 + "endAngle": 6.283185307179586, 2411 2411 + "id": "136" 2412 2412 + }, 2413 2413 + { 2414 2414 + "type": "circle", 2415 2415 + "version": "2.7.0", 2416 2416 + "originX": "center", 2417 2417 + "originY": "center", 2418 2418 + "left": "-120", 2419 2419 + "top": "${this.parameters.type === 'filling' ? 90 : 1000}", 2420 2420 + "width": 20, 2421 2421 + "height": 20, 2422 2422 + "fill": "black", 2423 2423 + "stroke": null, 2424 2424 + "strokeWidth": 1, 2425 2425 + "strokeDashArray": null, 2426 2426 + "strokeLineCap": "butt", 2427 2427 + "strokeDashOffset": 0, 2428 2428 + "strokeLineJoin": "round", 2429 2429 + "strokeMiterLimit": 4, 2430 2430 + "scaleX": 1, 2431 2431 + "scaleY": 1, 2432 2432 + "angle": 0, 2433 2433 + "flipX": false, 2434 2434 + "flipY": false, 2435 2435 + "opacity": 1, 2436 2436 + "shadow": null, 2437 2437 + "visible": true, 2438 2438 + "clipTo": null, 2439 2439 + "backgroundColor": "", 2440 2440 + "fillRule": "nonzero", 2441 2441 + "paintFirst": "fill", 2442 2442 + "globalCompositeOperation": "source-over", 2443 2443 + "transformMatrix": null, 2444 2444 + "skewX": 0, 2445 2445 + "skewY": 0, 2446 2446 + "radius": 10, 2447 2447 + "startAngle": 0, 2448 2448 + "endAngle": 6.283185307179586, 2449 2449 + "id": "137" 2450 2450 + }, 2451 2451 + { 2452 2452 + "type": "circle", 2453 2453 + "version": "2.7.0", 2454 2454 + "originX": "center", 2455 2455 + "originY": "center", 2456 2456 + "left": "120", 2457 2457 + "top": "${this.parameters.type === 'filling' ? 90 : 1000}", 2458 2458 + "width": 20, 2459 2459 + "height": 20, 2460 2460 + "fill": "black", 2461 2461 + "stroke": null, 2462 2462 + "strokeWidth": 1, 2463 2463 + "strokeDashArray": null, 2464 2464 + "strokeLineCap": "butt", 2465 2465 + "strokeDashOffset": 0, 2466 2466 + "strokeLineJoin": "round", 2467 2467 + "strokeMiterLimit": 4, 2468 2468 + "scaleX": 1, 2469 2469 + "scaleY": 1, 2470 2470 + "angle": 0, 2471 2471 + "flipX": false, 2472 2472 + "flipY": false, 2473 2473 + "opacity": 1, 2474 2474 + "shadow": null, 2475 2475 + "visible": true, 2476 2476 + "clipTo": null, 2477 2477 + "backgroundColor": "", 2478 2478 + "fillRule": "nonzero", 2479 2479 + "paintFirst": "fill", 2480 2480 + "globalCompositeOperation": "source-over", 2481 2481 + "transformMatrix": null, 2482 2482 + "skewX": 0, 2483 2483 + "skewY": 0, 2484 2484 + "radius": 10, 2485 2485 + "startAngle": 0, 2486 2486 + "endAngle": 6.283185307179586, 2487 2487 + "id": "138" 2488 2488 + }, 2489 2489 + { 2490 2490 + "type": "circle", 2491 2491 + "version": "2.7.0", 2492 2492 + "originX": "center", 2493 2493 + "originY": "center", 2494 2494 + "left": "120", 2495 2495 + "top": "${this.parameters.type === 'filling' ? 60 : 1000}", 2496 2496 + "width": 20, 2497 2497 + "height": 20, 2498 2498 + "fill": "black", 2499 2499 + "stroke": null, 2500 2500 + "strokeWidth": 1, 2501 2501 + "strokeDashArray": null, 2502 2502 + "strokeLineCap": "butt", 2503 2503 + "strokeDashOffset": 0, 2504 2504 + "strokeLineJoin": "round", 2505 2505 + "strokeMiterLimit": 4, 2506 2506 + "scaleX": 1, 2507 2507 + "scaleY": 1, 2508 2508 + "angle": 0, 2509 2509 + "flipX": false, 2510 2510 + "flipY": false, 2511 2511 + "opacity": 1, 2512 2512 + "shadow": null, 2513 2513 + "visible": true, 2514 2514 + "clipTo": null, 2515 2515 + "backgroundColor": "", 2516 2516 + "fillRule": "nonzero", 2517 2517 + "paintFirst": "fill", 2518 2518 + "globalCompositeOperation": "source-over", 2519 2519 + "transformMatrix": null, 2520 2520 + "skewX": 0, 2521 2521 + "skewY": 0, 2522 2522 + "radius": 10, 2523 2523 + "startAngle": 0, 2524 2524 + "endAngle": 6.283185307179586, 2525 2525 + "id": "139" 2526 2526 + }, 2527 2527 + { 2528 2528 + "type": "circle", 2529 2529 + "version": "2.7.0", 2530 2530 + "originX": "center", 2531 2531 + "originY": "center", 2532 2532 + "left": "120", 2533 2533 + "top": "${this.parameters.type === 'filling' ? 30 : 1000}", 2534 2534 + "width": 20, 2535 2535 + "height": 20, 2536 2536 + "fill": "black", 2537 2537 + "stroke": null, 2538 2538 + "strokeWidth": 1, 2539 2539 + "strokeDashArray": null, 2540 2540 + "strokeLineCap": "butt", 2541 2541 + "strokeDashOffset": 0, 2542 2542 + "strokeLineJoin": "round", 2543 2543 + "strokeMiterLimit": 4, 2544 2544 + "scaleX": 1, 2545 2545 + "scaleY": 1, 2546 2546 + "angle": 0, 2547 2547 + "flipX": false, 2548 2548 + "flipY": false, 2549 2549 + "opacity": 1, 2550 2550 + "shadow": null, 2551 2551 + "visible": true, 2552 2552 + "clipTo": null, 2553 2553 + "backgroundColor": "", 2554 2554 + "fillRule": "nonzero", 2555 2555 + "paintFirst": "fill", 2556 2556 + "globalCompositeOperation": "source-over", 2557 2557 + "transformMatrix": null, 2558 2558 + "skewX": 0, 2559 2559 + "skewY": 0, 2560 2560 + "radius": 10, 2561 2561 + "startAngle": 0, 2562 2562 + "endAngle": 6.283185307179586, 2563 2563 + "id": "140" 2564 2564 + } 2565 2565 + ], 2566 2566 + "files": {}, 2567 2567 + "parameters": {}, 2568 2568 + "responses": {}, 2569 2569 + "messageHandlers": {}, 2570 2570 + "viewport": [ 2571 2571 + 800, 2572 2572 + 600 2573 2573 + ], 2574 2574 + "title": "Pause", 2575 2575 + "skip": "${this.state.correct === true}", 2576 2576 + "timeout": "3000", 2577 2577 + "tardy": true 2578 2578 + } 2579 2579 + ] 2580 2580 + } 2581 2581 + } 2582 2582 + ] 2583 2583 + } 2584 2584 + }, 2585 2585 + { 2586 2586 + "type": "lab.canvas.Screen", 2587 2587 + "content": [ 2588 2588 + { 2589 2589 + "type": "i-text", 2590 2590 + "version": "2.7.0", 2591 2591 + "originX": "center", 2592 2592 + "originY": "center", 2593 2593 + "left": 0, 2594 2594 + "top": 0, 2595 2595 + "width": 148.41, 2596 2596 + "height": 36.16, 2597 2597 + "fill": "black", 2598 2598 + "stroke": null, 2599 2599 + "strokeWidth": 1, 2600 2600 + "strokeDashArray": null, 2601 2601 + "strokeLineCap": "butt", 2602 2602 + "strokeDashOffset": 0, 2603 2603 + "strokeLineJoin": "round", 2604 2604 + "strokeMiterLimit": 4, 2605 2605 + "scaleX": 1, 2606 2606 + "scaleY": 1, 2607 2607 + "angle": 0, 2608 2608 + "flipX": false, 2609 2609 + "flipY": false, 2610 2610 + "opacity": 1, 2611 2611 + "shadow": null, 2612 2612 + "visible": true, 2613 2613 + "clipTo": null, 2614 2614 + "backgroundColor": "", 2615 2615 + "fillRule": "nonzero", 2616 2616 + "paintFirst": "fill", 2617 2617 + "globalCompositeOperation": "source-over", 2618 2618 + "transformMatrix": null, 2619 2619 + "skewX": 0, 2620 2620 + "skewY": 0, 2621 2621 + "text": "Thank you!", 2622 2622 + "fontSize": 32, 2623 2623 + "fontWeight": "normal", 2624 2624 + "fontFamily": "Times New Roman", 2625 2625 + "fontStyle": "normal", 2626 2626 + "lineHeight": 1.16, 2627 2627 + "underline": false, 2628 2628 + "overline": false, 2629 2629 + "linethrough": false, 2630 2630 + "textAlign": "center", 2631 2631 + "textBackgroundColor": "", 2632 2632 + "charSpacing": 0, 2633 2633 + "id": "302", 2634 2634 + "styles": {} 2635 2635 + } 2636 2636 + ], 2637 2637 + "files": {}, 2638 2638 + "parameters": {}, 2639 2639 + "responses": {}, 2640 2640 + "messageHandlers": {}, 2641 2641 + "viewport": [ 2642 2642 + 800, 2643 2643 + 600 2644 2644 + ], 2645 2645 + "title": "End", 2646 2646 + "tardy": true, 2647 2647 + "timeout": "2000" 2648 2648 + } 2649 2649 + ] 2650 2650 + } 2651 2651 + ] 2652 2652 + } 2653 2653 + 2654 2654 + // export 2655 2655 + export default studyObject;

app/utils/labjs/scripts/multitasking/all_conditions.png

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app/utils/labjs/scripts/multitasking/diamond_2.png

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app/utils/labjs/scripts/multitasking/diamond_3.png

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app/utils/labjs/scripts/multitasking/example_1.png

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app/utils/labjs/scripts/multitasking/example_2.png

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app/utils/labjs/scripts/multitasking/example_3.png

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app/utils/labjs/scripts/multitasking/example_4.png

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app/utils/labjs/scripts/multitasking/filling.png

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app/utils/labjs/scripts/multitasking/rectangle_2.png

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app/utils/labjs/scripts/multitasking/rectangle_3.png

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app/utils/labjs/scripts/multitasking/shape.png

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app/utils/labjs/scripts/stroop.js

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··· 29 29 "keypress(Space)": "continue" 30 30 }, 31 31 "title": "Instruction", 32 32 - "content": "\u003Cheader class=\"content-vertical-center content-horizontal-center\"\u003E\n \u003Ch1\u003EStroop Task\u003C\u002Fh1\u003E\n\u003C\u002Fheader\u003E\n\u003Cmain\u003E\n \u003Cp\u003E\n Welcome to the \u003Cstrong\u003EStroop experiment\u003C\u002Fstrong\u003E!\n \u003C\u002Fp\u003E\n \u003Cp\u003E\n In this experiment, your task will be to \n \u003Cstrong\u003Eidentify the color of the word shown \n on the screen\u003C\u002Fstrong\u003E.\u003Cbr\u003E\n The word itself is immaterial &mdash; \n you can safely ignore it.\n \u003C\u002Fp\u003E\n \u003Cp\u003E\n To indicate the color of the word, \n please use the keys \u003Cstrong\u003Er\u003C\u002Fstrong\u003E, \n \u003Cstrong\u003Eg\u003C\u002Fstrong\u003E, \u003Cstrong\u003Eb\u003C\u002Fstrong\u003E and \n \u003Cstrong\u003Eo\u003C\u002Fstrong\u003E for \n \u003Cspan style=\"color: red;\"\u003Ered\u003C\u002Fspan\u003E, \n \u003Cspan style=\"color: green;\"\u003Egreen\u003C\u002Fspan\u003E, \n \u003Cspan style=\"color: blue;\"\u003Eblue\u003C\u002Fspan\u003E and \n \u003Cspan style=\"color: orange;\"\u003Eorange\u003C\u002Fspan\u003E, \n respectively.\u003Cbr\u003E\n Please answer quickly, and as \n accurately as you can.\n \u003C\u002Fp\u003E\n\u003C\u002Fmain\u003E\n\u003Cfooter class=\"content-vertical-center content-horizontal-center\"\u003E\n \u003Cp\u003EPlease press the space bar when you're ready.\u003C\u002Fp\u003E\n\u003C\u002Ffooter\u003E\n", 32 32 + "content": "\u003Cheader class=\"content-vertical-center content-horizontal-center\"\u003E\n \u003Ch1\u003EStroop Task\u003C\u002Fh1\u003E\n\u003C\u002Fheader\u003E\n\u003Cmain\u003E\n \u003Cp\u003E\n Welcome to the \u003Cstrong\u003EStroop experiment\u003C\u002Fstrong\u003E!\n \u003C\u002Fp\u003E\n \u003Cp\u003E\n In this experiment, your task will be to \n \u003Cstrong\u003Eidentify the color of the word shown \n on the screen\u003C\u002Fstrong\u003E.\u003Cbr\u003E\n The word itself is immaterial &mdash; \n you can safely ignore it.\n \u003C\u002Fp\u003E\n \u003Cp\u003E\n To indicate the color of the word, \n please use the keys \u003Cstrong\u003Er\u003C\u002Fstrong\u003E, \n \u003Cstrong\u003Eg\u003C\u002Fstrong\u003E, \u003Cstrong\u003Eb\u003C\u002Fstrong\u003E and \n \u003Cstrong\u003Eo\u003C\u002Fstrong\u003E for \n \u003Cspan style=\"color: red;\"\u003Ered\u003C\u002Fspan\u003E, \n \u003Cspan style=\"color: green;\"\u003Egreen\u003C\u002Fspan\u003E, \n \u003Cspan style=\"color: blue;\"\u003Eblue\u003C\u002Fspan\u003E and \n \u003Cspan style=\"color: orange;\"\u003Eorange\u003C\u002Fspan\u003E, \n respectively.\u003Cbr\u003E\n Please answer quickly, and as \n accurately as you can.\n \u003C\u002Fp\u003E\n\u003C\u002Fmain\u003E\n\u003Cfooter class=\"content-vertical-center content-horizontal-center\"\u003E\n Please press the space bar when you're ready.\n\u003C\u002Ffooter\u003E\n", 33 33 "parameters": {}, 34 34 "files": {} 35 35 }, ··· 138 138 "files": {}, 139 139 "parameters": {}, 140 140 "responses": {}, 141 141 - "messageHandlers": {}, 141 141 + "messageHandlers": { 142 142 + "run": function anonymous( 143 143 + ) { 144 144 + this.data.correct = 'empty' 145 145 + } 146 146 + }, 142 147 "viewport": [ 143 148 800, 144 149 600 ··· 220 225 "files": {}, 221 226 "parameters": {}, 222 227 "responses": {}, 223 223 - "messageHandlers": {}, 228 228 + "messageHandlers": { 229 229 + "before:prepare": function anonymous( 230 230 + ) { 231 231 + this.data.trial_number = 1 + parseInt(this.options.id.split('_')[this.options.id.split('_').length-2]); 232 232 + 233 233 + this.data.condition = this.parameters.congruent === 'yes' ? 'Match' : 'Mismatch'; 234 234 + 235 235 + this.data.reaction_time = this.state.duration; 236 236 + 237 237 + if(this.state.response === this.parameters.color){ 238 238 + this.data.correct_response = true; 239 239 + } else { 240 240 + this.data.correct_response = false; 241 241 + } 242 242 + 243 243 + this.data.response_given = this.state.correct === 'empty' ? 'no' : 'yes'; 244 244 + 245 245 + 246 246 + 247 247 + } 248 248 + }, 224 249 "viewport": [ 225 250 800, 226 251 600 227 252 ], 228 253 "title": "Inter-trial interval", 229 229 - "timeout": "500" 254 254 + "timeout": "500", 255 255 + "tardy": true 230 256 } 231 257 ] 232 258 } ··· 249 275 { 250 276 "color": "red", 251 277 "word": "red", 252 252 - "phase": "task" 278 278 + "phase": "task", 279 279 + "congruent": "yes" 253 280 }, 254 281 { 255 282 "color": "red", 256 283 "word": "red", 257 257 - "phase": "task" 284 284 + "phase": "task", 285 285 + "congruent": "yes" 258 286 }, 259 287 { 260 288 "color": "red", 261 289 "word": "red", 262 262 - "phase": "task" 290 290 + "phase": "task", 291 291 + "congruent": "yes" 263 292 }, 264 293 { 265 294 "color": "red", 266 295 "word": "green", 267 267 - "phase": "task" 296 296 + "phase": "task", 297 297 + "congruent": "no" 268 298 }, 269 299 { 270 300 "color": "red", 271 301 "word": "blue", 272 272 - "phase": "task" 302 302 + "phase": "task", 303 303 + "congruent": "no" 273 304 }, 274 305 { 275 306 "color": "red", 276 307 "word": "orange", 277 277 - "phase": "task" 308 308 + "phase": "task", 309 309 + "congruent": "no" 278 310 }, 279 311 { 280 312 "color": "green", 281 313 "word": "red", 282 282 - "phase": "task" 314 314 + "phase": "task", 315 315 + "congruent": "no" 283 316 }, 284 317 { 285 318 "color": "green", 286 319 "word": "green", 287 287 - "phase": "task" 320 320 + "phase": "task", 321 321 + "congruent": "yes" 288 322 }, 289 323 { 290 324 "color": "green", 291 325 "word": "green", 292 292 - "phase": "task" 326 326 + "phase": "task", 327 327 + "congruent": "yes" 293 328 }, 294 329 { 295 330 "color": "green", 296 331 "word": "green", 297 297 - "phase": "task" 332 332 + "phase": "task", 333 333 + "congruent": "yes" 298 334 }, 299 335 { 300 336 "color": "green", 301 337 "word": "blue", 302 302 - "phase": "task" 338 338 + "phase": "task", 339 339 + "congruent": "no" 303 340 }, 304 341 { 305 342 "color": "green", 306 343 "word": "orange", 307 307 - "phase": "task" 344 344 + "phase": "task", 345 345 + "congruent": "no" 308 346 }, 309 347 { 310 348 "color": "blue", 311 349 "word": "red", 312 312 - "phase": "task" 350 350 + "phase": "task", 351 351 + "congruent": "no" 313 352 }, 314 353 { 315 354 "color": "blue", 316 355 "word": "green", 317 317 - "phase": "task" 356 356 + "phase": "task", 357 357 + "congruent": "no" 318 358 }, 319 359 { 320 360 "color": "blue", 321 361 "word": "blue", 322 322 - "phase": "task" 362 362 + "phase": "task", 363 363 + "congruent": "yes" 323 364 }, 324 365 { 325 366 "color": "blue", 326 367 "word": "blue", 327 327 - "phase": "task" 368 368 + "phase": "task", 369 369 + "congruent": "yes" 328 370 }, 329 371 { 330 372 "color": "blue", 331 373 "word": "blue", 332 332 - "phase": "task" 374 374 + "phase": "task", 375 375 + "congruent": "yes" 333 376 }, 334 377 { 335 378 "color": "blue", 336 379 "word": "orange", 337 337 - "phase": "task" 380 380 + "phase": "task", 381 381 + "congruent": "no" 338 382 }, 339 383 { 340 384 "color": "orange", 341 385 "word": "red", 342 342 - "phase": "task" 386 386 + "phase": "task", 387 387 + "congruent": "no" 343 388 }, 344 389 { 345 390 "color": "orange", 346 391 "word": "green", 347 347 - "phase": "task" 392 392 + "phase": "task", 393 393 + "congruent": "no" 348 394 }, 349 395 { 350 396 "color": "orange", 351 397 "word": "blue", 352 352 - "phase": "task" 398 398 + "phase": "task", 399 399 + "congruent": "no" 353 400 }, 354 401 { 355 402 "color": "orange", 356 403 "word": "orange", 357 357 - "phase": "task" 404 404 + "phase": "task", 405 405 + "congruent": "yes" 358 406 }, 359 407 { 360 408 "color": "orange", 361 409 "word": "orange", 362 362 - "phase": "task" 410 410 + "phase": "task", 411 411 + "congruent": "yes" 363 412 }, 364 413 { 365 414 "color": "orange", 366 415 "word": "orange", 367 367 - "phase": "task" 416 416 + "phase": "task", 417 417 + "congruent": "yes" 368 418 } 369 419 ], 370 420 "title": "Stroop task", 371 421 "parameters": {}, 372 422 "files": {}, 373 423 "sample": { 374 374 - "mode": "draw-shuffle", 375 375 - "n": "16" 424 424 + "mode": "draw-shuffle" 376 425 }, 377 426 "shuffleGroups": [], 378 427 "template": { ··· 438 487 "files": {}, 439 488 "parameters": {}, 440 489 "responses": {}, 441 441 - "messageHandlers": {}, 490 490 + "messageHandlers": { 491 491 + "run": function anonymous( 492 492 + ) { 493 493 + this.data.correct = 'empty' 494 494 + } 495 495 + }, 442 496 "viewport": [ 443 497 800, 444 498 600 ··· 520 574 "files": {}, 521 575 "parameters": {}, 522 576 "responses": {}, 523 523 - "messageHandlers": {}, 577 577 + "messageHandlers": { 578 578 + "before:prepare": function anonymous( 579 579 + ) { 580 580 + this.data.trial_number = 1 + parseInt(this.options.id.split('_')[this.options.id.split('_').length-2]); 581 581 + 582 582 + this.data.condition = this.parameters.congruent === 'yes' ? 'Match' : 'Mismatch'; 583 583 + 584 584 + this.data.reaction_time = this.state.duration; 585 585 + 586 586 + if(this.state.response === this.parameters.color){ 587 587 + this.data.correct_response = true; 588 588 + } else { 589 589 + this.data.correct_response = false; 590 590 + } 591 591 + 592 592 + this.data.response_given = this.state.correct === 'empty' ? 'no' : 'yes'; 593 593 + 594 594 + 595 595 + 596 596 + } 597 597 + }, 524 598 "viewport": [ 525 599 800, 526 600 600 527 601 ], 528 602 "title": "Inter-trial interval", 529 529 - "timeout": "500" 603 603 + "timeout": "500", 604 604 + "tardy": true 530 605 } 531 606 ] 532 607 } ··· 537 612 "type": "lab.html.Screen", 538 613 "responses": {}, 539 614 "title": "Thanks", 540 540 - "content": "\u003Cheader class=\"content-vertical-center content-horizontal-center\"\u003E\n \u003Ch1\u003EThank you!\u003C\u002Fh1\u003E\n\u003C\u002Fheader\u003E\n\u003Cmain\u003E\n \u003Cp\u003E\n You did a great job, thanks for taking the time!\n \u003C\u002Fp\u003E\n\u003C\u002Fmain\u003E\n\n", 541 541 - "timeout": "2000", 615 615 + "content": "\u003Cheader class=\"content-vertical-center content-horizontal-center\"\u003E\n \u003Ch1\u003EThank you!\u003C\u002Fh1\u003E\n\u003C\u002Fheader\u003E\n\u003Cmain\u003E\n \u003Cp\u003E\n You did a great job, thanks for taking the time!\n \u003C\u002Fp\u003E\n\u003C\u002Fmain\u003E\n\u003Cfooter class=\"content-vertical-center content-horizontal-center\"\u003E\n \u003Cp\u003E\n If you have any questions or comments about this \n experiment,\u003Cbr\u003E please be invited to contact\n \u003Ca href=\"http:\u002F\u002Ffelixhenninger.com\"\u003E\n Felix Henninger\u003C\u002Fa\u003E.\n \u003C\u002Fp\u003E\n\u003C\u002Ffooter\u003E\n", 616 616 + "timeout": "10", 542 617 "parameters": {}, 543 618 "files": {} 544 619 }

+5749

app/utils/labjs/scripts/visualsearch.js

reviewed

··· 1 1 + // Define study 2 2 + const studyObject = { 3 3 + "title": "root", 4 4 + "type": "lab.flow.Sequence", 5 5 + "parameters": {}, 6 6 + "plugins": [ 7 7 + { 8 8 + "type": "lab.plugins.Metadata" 9 9 + }, 10 10 + { 11 11 + "type": "lab.plugins.Download", 12 12 + "filePrefix": "visual-search" 13 13 + } 14 14 + ], 15 15 + "metadata": { 16 16 + "title": "Visual search", 17 17 + "description": "The visual search task is made according to specifications described here\nhttps:\u002F\u002Fwww.psytoolkit.org\u002Fexperiment-library\u002Fsearch.html", 18 18 + "repository": "", 19 19 + "contributors": "Yury Shevchenko \u003Cyury.shevchenko@uni-konstanz.de\u003E" 20 20 + }, 21 21 + "files": {}, 22 22 + "responses": {}, 23 23 + "content": [ 24 24 + { 25 25 + "type": "lab.html.Screen", 26 26 + "files": {}, 27 27 + "parameters": {}, 28 28 + "responses": { 29 29 + "keypress(Space)": "next" 30 30 + }, 31 31 + "messageHandlers": {}, 32 32 + "title": "Instruction", 33 33 + "content": "\u003Cstyle\u003E\n .letter{\n font-size: 90px;\n font-weight: bold;\n }\n\u003C\u002Fstyle\u003E\n\n\u003Cheader\u003E\n \u003Ch1\u003EVisual search task\u003C\u002Fh1\u003E\n\u003C\u002Fheader\u003E\n\n\u003Cmain\u003E\n \u003Cp\u003E\n You know how difficult it is to find your keys in a messy room! We want to know how good you are in quickly finding your keys! \u003Cb\u003EInstead\u003C\u002Fb\u003E of keys, we just want to know how quickly you can find an \u003Cb\u003Eorange T\u003C\u002Fb\u003E amongst blue Ts and upside-down orange Ts. Sounds easy! But it is not at all that easy!\n \u003C\u002Fp\u003E\n \u003Cp\u003E\n Again, all you need to do is to find an \u003Cb\u003Eorange T\u003C\u002Fb\u003E. If you see the \u003Cb\u003Eorange T\u003C\u002Fb\u003E, press \u003Ckbd\u003Eb\u003C\u002Fkbd\u003E. Ignore the upside-down orange T, as well as blue Ts! IF THERE IS NO ORANGE T, press \u003Ckbd\u003En\u003C\u002Fkbd\u003E.\n \u003C\u002Fp\u003E\n \u003Cp\u003E\n It is very important to respond \u003Cb\u003EAS FAST AS YOU CAN\u003C\u002Fb\u003E. \n \u003C\u002Fp\u003E \n \u003Cbr\u003E\n \u003Cp\u003E\n Find \n \u003C\u002Fp\u003E\n \u003Cbr\u003E\n \u003Cdiv class=\"letter\" style=\"color:orange\"\u003E\n T\n \u003C\u002Fdiv\u003E\n \u003Cbr\u003E\u003Cbr\u003E\u003Cbr\u003E\n \u003Cp\u003E\n But do not respond to any of these distractors:\n \u003C\u002Fp\u003E\n \u003Cbr\u003E\n \n \u003Cdiv style=\"display:grid; grid-template-columns: 100px 100px; justify-content: center\"\u003E\n \u003Cdiv class=\"letter\" style=\"color:lightblue\"\u003E\n T\n \u003C\u002Fdiv\u003E\n \u003Cdiv class=\"letter\" style=\"color:orange; transform: rotate(-180deg)\"\u003E\n T\n \u003C\u002Fdiv\u003E\n \u003C\u002Fdiv\u003E\n \n \u003Cbr\u003E\u003Cbr\u003E\u003Cbr\u003E\u003Cbr\u003E\n\n \u003Cp\u003E\n Press space to continue.\n \u003C\u002Fp\u003E\n\u003C\u002Fmain\u003E" 34 34 + }, 35 35 + { 36 36 + "type": "lab.flow.Loop", 37 37 + "files": {}, 38 38 + "parameters": {}, 39 39 + "templateParameters": [], 40 40 + "sample": { 41 41 + "mode": "draw-shuffle" 42 42 + }, 43 43 + "responses": {}, 44 44 + "messageHandlers": { 45 45 + "before:prepare": function anonymous( 46 46 + ) { 47 47 + let trialParameters = [] 48 48 + 49 49 + function shuffle(a) { 50 50 + var j, x, i 51 51 + for (i = a.length - 1; i > 0; i--) { 52 52 + j = Math.floor(Math.random() * (i + 1)) 53 53 + x = a[i] 54 54 + a[i] = a[j] 55 55 + a[j] = x 56 56 + } 57 57 + return a 58 58 + } 59 59 + 60 60 + const randomBetween = (min, max) => { 61 61 + return Math.floor(Math.random() * (max - min + 1)) + min 62 62 + } 63 63 + 64 64 + const makeStimuliArray = (arrLen, stLen, isTarget) => { 65 65 + let arr = Array(arrLen).fill(0) 66 66 + let shuffled = shuffle([...Array(arrLen).keys()]).slice(0, stLen) 67 67 + for (let p of shuffled){ 68 68 + if(randomBetween(0,1) === 0){ 69 69 + arr[p] = 1 70 70 + } else { 71 71 + arr[p] = 2 72 72 + } 73 73 + } 74 74 + if(isTarget === 'yes'){ 75 75 + arr[shuffled[0]] = 3 76 76 + } 77 77 + return arr 78 78 + } 79 79 + 80 80 + const arrLength = 25 81 81 + function trialConstructor(i, stimLength, isTarget) { 82 82 + return { 83 83 + 'trialId': i, 84 84 + 'stimuli': makeStimuliArray(arrLength, stimLength, isTarget), 85 85 + 'target': isTarget, 86 86 + 'size': stimLength, 87 87 + }; 88 88 + } 89 89 + 90 90 + const numberTrials = 6 91 91 + for (let i = 1; i <= numberTrials; i++){ 92 92 + trialParameters = trialParameters.concat(trialConstructor(i, 5, 'yes')) 93 93 + trialParameters = trialParameters.concat(trialConstructor(i, 5, 'no')) 94 94 + trialParameters = trialParameters.concat(trialConstructor(i, 10, 'yes')) 95 95 + trialParameters = trialParameters.concat(trialConstructor(i, 10, 'no')) 96 96 + trialParameters = trialParameters.concat(trialConstructor(i, 15, 'yes')) 97 97 + trialParameters = trialParameters.concat(trialConstructor(i, 15, 'no')) 98 98 + trialParameters = trialParameters.concat(trialConstructor(i, 20, 'yes')) 99 99 + trialParameters = trialParameters.concat(trialConstructor(i, 20, 'no')) 100 100 + } 101 101 + 102 102 + //assign options values to parameters of this task 103 103 + this.options.templateParameters = trialParameters; 104 104 + console.log(trialParameters); 105 105 + this.options.shuffle = true; // already shuffled before 106 106 + 107 107 + }, 108 108 + "end": function anonymous( 109 109 + ) { 110 110 + this.data.aggregated = {}; 111 111 + 112 112 + const rt_5_yes = this.options.datastore.data.filter(s => s.sender === 'Stimuli').filter(d => d.target === 'yes' && d.response ==='yes' && d.size === 5).map(m => Math.round(m.duration)); 113 113 + const rt_10_yes = this.options.datastore.data.filter(s => s.sender === 'Stimuli').filter(d => d.target === 'yes' && d.response ==='yes' && d.size === 10).map(m => Math.round(m.duration)); 114 114 + const rt_15_yes = this.options.datastore.data.filter(s => s.sender === 'Stimuli').filter(d => d.target === 'yes' && d.response ==='yes' && d.size === 15).map(m => Math.round(m.duration)); 115 115 + const rt_20_yes = this.options.datastore.data.filter(s => s.sender === 'Stimuli').filter(d => d.target === 'yes' && d.response ==='yes' && d.size === 20).map(m => Math.round(m.duration)); 116 116 + 117 117 + const mean_rt_5_yes = Math.round(rt_5_yes.reduce((acc, cur) => acc + cur, 0) / rt_5_yes.length); 118 118 + const mean_rt_10_yes = Math.round(rt_10_yes.reduce((acc, cur) => acc + cur, 0) / rt_10_yes.length); 119 119 + const mean_rt_15_yes = Math.round(rt_15_yes.reduce((acc, cur) => acc + cur, 0) / rt_15_yes.length); 120 120 + const mean_rt_20_yes = Math.round(rt_20_yes.reduce((acc, cur) => acc + cur, 0) / rt_20_yes.length); 121 121 + 122 122 + this.data.aggregated[`rt_5_yes`] = mean_rt_5_yes; 123 123 + this.data.aggregated[`rt_10_yes`] = mean_rt_10_yes; 124 124 + this.data.aggregated[`rt_15_yes`] = mean_rt_15_yes; 125 125 + this.data.aggregated[`rt_20_yes`] = mean_rt_20_yes; 126 126 + 127 127 + // for no target response 128 128 + const rt_5_no = this.options.datastore.data.filter(s => s.sender === 'Stimuli').filter(d => d.target === 'no' && d.response==='no' && d.size === 5).map(m => Math.round(m.duration)); 129 129 + const rt_10_no = this.options.datastore.data.filter(s => s.sender === 'Stimuli').filter(d => d.target === 'no' && d.response==='no' && d.size === 10).map(m => Math.round(m.duration)); 130 130 + const rt_15_no = this.options.datastore.data.filter(s => s.sender === 'Stimuli').filter(d => d.target === 'no' && d.response==='no' && d.size === 15).map(m => Math.round(m.duration)); 131 131 + const rt_20_no = this.options.datastore.data.filter(s => s.sender === 'Stimuli').filter(d => d.target === 'no' && d.response==='no' && d.size === 20).map(m => Math.round(m.duration)); 132 132 + 133 133 + const mean_rt_5_no = Math.round(rt_5_no.reduce((acc, cur) => acc + cur, 0) / rt_5_no.length); 134 134 + const mean_rt_10_no = Math.round(rt_10_no.reduce((acc, cur) => acc + cur, 0) / rt_10_no.length); 135 135 + const mean_rt_15_no = Math.round(rt_15_no.reduce((acc, cur) => acc + cur, 0) / rt_15_no.length); 136 136 + const mean_rt_20_no = Math.round(rt_20_no.reduce((acc, cur) => acc + cur, 0) / rt_20_no.length); 137 137 + 138 138 + this.data.aggregated[`rt_5_no`] = mean_rt_5_no; 139 139 + this.data.aggregated[`rt_10_no`] = mean_rt_10_no; 140 140 + this.data.aggregated[`rt_15_no`] = mean_rt_15_no; 141 141 + this.data.aggregated[`rt_20_no`] = mean_rt_20_no; 142 142 + 143 143 + } 144 144 + }, 145 145 + "title": "Task loop", 146 146 + "shuffleGroups": [], 147 147 + "template": { 148 148 + "type": "lab.flow.Sequence", 149 149 + "files": {}, 150 150 + "parameters": {}, 151 151 + "responses": {}, 152 152 + "messageHandlers": {}, 153 153 + "title": "Task sequence", 154 154 + "content": [ 155 155 + { 156 156 + "type": "lab.canvas.Screen", 157 157 + "content": [ 158 158 + { 159 159 + "type": "i-text", 160 160 + "version": "2.7.0", 161 161 + "originX": "center", 162 162 + "originY": "center", 163 163 + "left": 0, 164 164 + "top": 0, 165 165 + "width": 18.05, 166 166 + "height": 36.16, 167 167 + "fill": "black", 168 168 + "stroke": null, 169 169 + "strokeWidth": 1, 170 170 + "strokeDashArray": null, 171 171 + "strokeLineCap": "butt", 172 172 + "strokeDashOffset": 0, 173 173 + "strokeLineJoin": "round", 174 174 + "strokeMiterLimit": 4, 175 175 + "scaleX": 1, 176 176 + "scaleY": 1, 177 177 + "angle": 0, 178 178 + "flipX": false, 179 179 + "flipY": false, 180 180 + "opacity": 1, 181 181 + "shadow": null, 182 182 + "visible": true, 183 183 + "clipTo": null, 184 184 + "backgroundColor": "", 185 185 + "fillRule": "nonzero", 186 186 + "paintFirst": "fill", 187 187 + "globalCompositeOperation": "source-over", 188 188 + "transformMatrix": null, 189 189 + "skewX": 0, 190 190 + "skewY": 0, 191 191 + "text": "+", 192 192 + "fontSize": "50", 193 193 + "fontWeight": "bold", 194 194 + "fontFamily": "Times New Roman", 195 195 + "fontStyle": "normal", 196 196 + "lineHeight": 1.16, 197 197 + "underline": false, 198 198 + "overline": false, 199 199 + "linethrough": false, 200 200 + "textAlign": "center", 201 201 + "textBackgroundColor": "", 202 202 + "charSpacing": 0, 203 203 + "id": "15", 204 204 + "styles": {} 205 205 + } 206 206 + ], 207 207 + "files": {}, 208 208 + "parameters": {}, 209 209 + "responses": {}, 210 210 + "messageHandlers": { 211 211 + "run": function anonymous( 212 212 + ) { 213 213 + this.data.response = 'noresponse' 214 214 + this.data.correct = false 215 215 + } 216 216 + }, 217 217 + "viewport": [ 218 218 + 800, 219 219 + 600 220 220 + ], 221 221 + "title": "Fixation cross", 222 222 + "timeout": "500" 223 223 + }, 224 224 + { 225 225 + "type": "lab.html.Screen", 226 226 + "files": {}, 227 227 + "parameters": {}, 228 228 + "responses": { 229 229 + "keypress(b)": "yes", 230 230 + "keypress(n)": "no" 231 231 + }, 232 232 + "messageHandlers": { 233 233 + "run": function anonymous( 234 234 + ) { 235 235 + const taskgrid = document.querySelector('#taskgrid') 236 236 + const stimuli = this.parameters.stimuli 237 237 + 238 238 + for (let s of stimuli) { 239 239 + let d = document.createElement('div') 240 240 + d.classList.add('box') 241 241 + let el = document.createElement('span') 242 242 + el.classList.add('letter') 243 243 + 244 244 + if(s > 0){ 245 245 + if(s === 1){ 246 246 + el.innerHTML = 'T' 247 247 + el.style.color = 'lightblue' 248 248 + } 249 249 + if(s === 2){ 250 250 + el.innerHTML = 'T' 251 251 + el.style.color = 'orange' 252 252 + el.style.transform = 'rotate(-180deg)' 253 253 + } 254 254 + if(s === 3){ 255 255 + el.innerHTML = 'T' 256 256 + el.style.color = 'orange' 257 257 + } 258 258 + } 259 259 + d.appendChild(el) 260 260 + taskgrid.appendChild(d) 261 261 + } 262 262 + } 263 263 + }, 264 264 + "title": "Stimuli", 265 265 + "content": "\u003Cstyle\u003E\n #taskgrid{\n display: grid;\n grid-template-columns: repeat(5, 100px);\n grid-template-rows: repeat(5, 100px);\n grid-row-gap: 10px;\n grid-column-gap: 10px;\n }\n .box{\n display: grid;\n align-items: center;\n } \n .letter{\n font-size: 90px;\n font-weight: bold;\n }\n\u003C\u002Fstyle\u003E\n\n\u003Cheader\u003E\n \u003Cspan style=\"font-size:1.5rem\"\u003E\n Press \u003Ckbd\u003Eb\u003C\u002Fkbd\u003E if you see the orange T, press \u003Ckbd\u003En\u003C\u002Fkbd\u003E if there is no orange T.\n \u003C\u002Fspan\u003E\n\u003C\u002Fheader\u003E\n\n\u003Cmain class=\"content-vertical-center content-horizontal-center\"\u003E\n\n \u003Cdiv id=\"taskgrid\"\u003E\n\n\n \u003C\u002Fdiv\u003E\n\n\u003C\u002Fmain\u003E\n\n", 266 266 + "timeout": "4000", 267 267 + "correctResponse": "${this.parameters.target}" 268 268 + }, 269 269 + { 270 270 + "type": "lab.html.Screen", 271 271 + "files": {}, 272 272 + "parameters": {}, 273 273 + "responses": {}, 274 274 + "messageHandlers": { 275 275 + "run": function anonymous( 276 276 + ) { 277 277 + const taskgrid = document.querySelector('#taskgrid') 278 278 + const stimuli = this.parameters.stimuli 279 279 + 280 280 + for (let s of stimuli) { 281 281 + let d = document.createElement('div') 282 282 + d.classList.add('box') 283 283 + let el = document.createElement('span') 284 284 + el.classList.add('letter') 285 285 + 286 286 + if(s > 0){ 287 287 + if(s === 1){ 288 288 + el.innerHTML = 'T' 289 289 + el.style.color = 'lightblue' 290 290 + } 291 291 + if(s === 2){ 292 292 + el.innerHTML = 'T' 293 293 + el.style.color = 'orange' 294 294 + el.style.transform = 'rotate(-180deg)' 295 295 + } 296 296 + if(s === 3){ 297 297 + el.innerHTML = 'T' 298 298 + el.style.color = 'orange' 299 299 + d.id = 'target' 300 300 + } 301 301 + } 302 302 + d.appendChild(el) 303 303 + taskgrid.appendChild(d) 304 304 + } 305 305 + 306 306 + if(this.state.response === 'noresponse') { 307 307 + document.querySelector('#feedback').innerHTML = "Please respond!" 308 308 + return 309 309 + } 310 310 + 311 311 + if(this.parameters.target === 'yes'){ 312 312 + document.querySelector('#feedback').innerHTML = "Error! There was one!" 313 313 + document.querySelector('#target').style.border = 'solid' 314 314 + } else { 315 315 + document.querySelector('#feedback').innerHTML = "Error! There was none!" 316 316 + } 317 317 + 318 318 + 319 319 + }, 320 320 + "before:prepare": function anonymous( 321 321 + ) { 322 322 + this.data.trial_number = 1 + parseInt(this.options.id.split('_')[this.options.id.split('_').length-2]); 323 323 + 324 324 + this.data.condition = this.parameters.target === 'yes' ? 'Target' : 'No target'; 325 325 + 326 326 + this.data.reaction_time = this.state.duration; 327 327 + 328 328 + if(this.state.response === this.parameters.target){ 329 329 + this.data.correct_response = true; 330 330 + } else { 331 331 + this.data.correct_response = false; 332 332 + } 333 333 + 334 334 + this.data.response_given = this.state.response === 'noresponse' ? 'no' : 'yes'; 335 335 + } 336 336 + }, 337 337 + "title": "Feedback", 338 338 + "content": "\u003Cstyle\u003E\n #taskgrid{\n display: grid;\n grid-template-columns: repeat(5, 100px);\n grid-template-rows: repeat(5, 100px);\n grid-row-gap: 10px;\n grid-column-gap: 10px;\n }\n .box{\n display: grid;\n align-items: center;\n } \n .letter{\n font-size: 90px;\n font-weight: bold;\n }\n .feedback{\n font-size: 50px;\n font-weight: bold;\n color: #da5b1c;\n }\n\u003C\u002Fstyle\u003E\n\n\u003Cheader style=\"display: grid; align-content: center;\"\u003E\n \u003Cdiv id=\"feedback\" class=\"feedback\"\u003E\n \u003C\u002Fdiv\u003E\n\u003C\u002Fheader\u003E\n\n\u003Cmain class=\"content-vertical-center content-horizontal-center\"\u003E\n\n\n \u003Cdiv id=\"taskgrid\" \u003E\n\n \u003C\u002Fdiv\u003E\n\n\n\u003C\u002Fmain\u003E\n\n\n", 339 339 + "timeout": "2000", 340 340 + "tardy": true, 341 341 + "skip": "${ this.state.correct }" 342 342 + }, 343 343 + { 344 344 + "type": "lab.html.Screen", 345 345 + "files": { 346 346 + "grid.gif": "./utils/labjs/scripts/visualsearch/grid.gif" 347 347 + }, 348 348 + "parameters": {}, 349 349 + "responses": {}, 350 350 + "messageHandlers": {}, 351 351 + "title": "Grid", 352 352 + "content": "\u003Cheader\u003E\n\n\u003C\u002Fheader\u003E\n\n\u003Cmain class=\"content-vertical-center content-horizontal-center\"\u003E\n\n \u003Cimg src=${this.files['grid.gif']} style=\"height: 400px; width: auto;\"\u003E\n\n\u003C\u002Fmain\u003E\n\n", 353 353 + "timeout": "500" 354 354 + } 355 355 + ] 356 356 + } 357 357 + }, 358 358 + { 359 359 + "type": "lab.canvas.Screen", 360 360 + "content": [ 361 361 + { 362 362 + "type": "i-text", 363 363 + "version": "2.7.0", 364 364 + "originX": "center", 365 365 + "originY": "center", 366 366 + "left": 0, 367 367 + "top": -225, 368 368 + "width": 414.09, 369 369 + "height": 36.16, 370 370 + "fill": "black", 371 371 + "stroke": null, 372 372 + "strokeWidth": 1, 373 373 + "strokeDashArray": null, 374 374 + "strokeLineCap": "butt", 375 375 + "strokeDashOffset": 0, 376 376 + "strokeLineJoin": "round", 377 377 + "strokeMiterLimit": 4, 378 378 + "scaleX": 1, 379 379 + "scaleY": 1, 380 380 + "angle": 0, 381 381 + "flipX": false, 382 382 + "flipY": false, 383 383 + "opacity": 1, 384 384 + "shadow": null, 385 385 + "visible": true, 386 386 + "clipTo": null, 387 387 + "backgroundColor": "", 388 388 + "fillRule": "nonzero", 389 389 + "paintFirst": "fill", 390 390 + "globalCompositeOperation": "source-over", 391 391 + "transformMatrix": null, 392 392 + "skewX": 0, 393 393 + "skewY": 0, 394 394 + "text": "Search time (ms) with orange T ", 395 395 + "fontSize": 32, 396 396 + "fontWeight": "bold", 397 397 + "fontFamily": "Times New Roman", 398 398 + "fontStyle": "normal", 399 399 + "lineHeight": 1.16, 400 400 + "underline": false, 401 401 + "overline": false, 402 402 + "linethrough": false, 403 403 + "textAlign": "center", 404 404 + "textBackgroundColor": "", 405 405 + "charSpacing": 0, 406 406 + "id": "158", 407 407 + "styles": {} 408 408 + }, 409 409 + { 410 410 + "type": "i-text", 411 411 + "version": "2.7.0", 412 412 + "originX": "center", 413 413 + "originY": "center", 414 414 + "left": 25, 415 415 + "top": -115, 416 416 + "width": 743.42, 417 417 + "height": 154.13, 418 418 + "fill": "black", 419 419 + "stroke": null, 420 420 + "strokeWidth": 1, 421 421 + "strokeDashArray": null, 422 422 + "strokeLineCap": "butt", 423 423 + "strokeDashOffset": 0, 424 424 + "strokeLineJoin": "round", 425 425 + "strokeMiterLimit": 4, 426 426 + "scaleX": 1, 427 427 + "scaleY": 1, 428 428 + "angle": 0, 429 429 + "flipX": false, 430 430 + "flipY": false, 431 431 + "opacity": 1, 432 432 + "shadow": null, 433 433 + "visible": true, 434 434 + "clipTo": null, 435 435 + "backgroundColor": "", 436 436 + "fillRule": "nonzero", 437 437 + "paintFirst": "fill", 438 438 + "globalCompositeOperation": "source-over", 439 439 + "transformMatrix": null, 440 440 + "skewX": 0, 441 441 + "skewY": 0, 442 442 + "text": "With 5 items: ${this.state.aggregated.rt_5_yes || '-'} ms\nWith 10 items: ${this.state.aggregated.rt_10_yes || '-'} ms \nWith 15 items: ${this.state.aggregated.rt_15_yes || '-'} ms\nWith 20 items: ${this.state.aggregated.rt_20_yes || '-'} ms ", 443 443 + "fontSize": "26", 444 444 + "fontWeight": "normal", 445 445 + "fontFamily": "Times New Roman", 446 446 + "fontStyle": "normal", 447 447 + "lineHeight": 1.16, 448 448 + "underline": false, 449 449 + "overline": false, 450 450 + "linethrough": false, 451 451 + "textAlign": "center", 452 452 + "textBackgroundColor": "", 453 453 + "charSpacing": 0, 454 454 + "id": "159", 455 455 + "styles": { 456 456 + "0": {}, 457 457 + "1": { 458 458 + "0": { 459 459 + "stroke": null, 460 460 + "strokeWidth": 1, 461 461 + "fill": "black", 462 462 + "fontFamily": "Times New Roman", 463 463 + "fontSize": "26", 464 464 + "fontWeight": "normal", 465 465 + "fontStyle": "normal", 466 466 + "underline": false, 467 467 + "overline": false, 468 468 + "linethrough": false, 469 469 + "deltaY": 0, 470 470 + "textBackgroundColor": "" 471 471 + }, 472 472 + "1": { 473 473 + "stroke": null, 474 474 + "strokeWidth": 1, 475 475 + "fill": "black", 476 476 + "fontFamily": "Times New Roman", 477 477 + "fontSize": "26", 478 478 + "fontWeight": "normal", 479 479 + "fontStyle": "normal", 480 480 + "underline": false, 481 481 + "overline": false, 482 482 + "linethrough": false, 483 483 + "deltaY": 0, 484 484 + "textBackgroundColor": "" 485 485 + }, 486 486 + "2": { 487 487 + "stroke": null, 488 488 + "strokeWidth": 1, 489 489 + "fill": "black", 490 490 + "fontFamily": "Times New Roman", 491 491 + "fontSize": "26", 492 492 + "fontWeight": "normal", 493 493 + "fontStyle": "normal", 494 494 + "underline": false, 495 495 + "overline": false, 496 496 + "linethrough": false, 497 497 + "deltaY": 0, 498 498 + "textBackgroundColor": "" 499 499 + }, 500 500 + "3": { 501 501 + "stroke": null, 502 502 + "strokeWidth": 1, 503 503 + "fill": "black", 504 504 + "fontFamily": "Times New Roman", 505 505 + "fontSize": "26", 506 506 + "fontWeight": "normal", 507 507 + "fontStyle": "normal", 508 508 + "underline": false, 509 509 + "overline": false, 510 510 + "linethrough": false, 511 511 + "deltaY": 0, 512 512 + "textBackgroundColor": "" 513 513 + }, 514 514 + "4": { 515 515 + "stroke": null, 516 516 + "strokeWidth": 1, 517 517 + "fill": "black", 518 518 + "fontFamily": "Times New Roman", 519 519 + "fontSize": "26", 520 520 + "fontWeight": "normal", 521 521 + "fontStyle": "normal", 522 522 + "underline": false, 523 523 + "overline": false, 524 524 + "linethrough": false, 525 525 + "deltaY": 0, 526 526 + "textBackgroundColor": "" 527 527 + }, 528 528 + "5": { 529 529 + "stroke": null, 530 530 + "strokeWidth": 1, 531 531 + "fill": "black", 532 532 + "fontFamily": "Times New Roman", 533 533 + "fontSize": "26", 534 534 + "fontWeight": "normal", 535 535 + "fontStyle": "normal", 536 536 + "underline": false, 537 537 + "overline": false, 538 538 + "linethrough": false, 539 539 + "deltaY": 0, 540 540 + "textBackgroundColor": "" 541 541 + }, 542 542 + "6": { 543 543 + "stroke": null, 544 544 + "strokeWidth": 1, 545 545 + "fill": "black", 546 546 + "fontFamily": "Times New Roman", 547 547 + "fontSize": "26", 548 548 + "fontWeight": "normal", 549 549 + "fontStyle": "normal", 550 550 + "underline": false, 551 551 + "overline": false, 552 552 + "linethrough": false, 553 553 + "deltaY": 0, 554 554 + "textBackgroundColor": "" 555 555 + }, 556 556 + "7": { 557 557 + "stroke": null, 558 558 + "strokeWidth": 1, 559 559 + "fill": "black", 560 560 + "fontFamily": "Times New Roman", 561 561 + "fontSize": "26", 562 562 + "fontWeight": "normal", 563 563 + "fontStyle": "normal", 564 564 + "underline": false, 565 565 + "overline": false, 566 566 + "linethrough": false, 567 567 + "deltaY": 0, 568 568 + "textBackgroundColor": "" 569 569 + }, 570 570 + "8": { 571 571 + "stroke": null, 572 572 + "strokeWidth": 1, 573 573 + "fill": "black", 574 574 + "fontFamily": "Times New Roman", 575 575 + "fontSize": "26", 576 576 + "fontWeight": "normal", 577 577 + "fontStyle": "normal", 578 578 + "underline": false, 579 579 + "overline": false, 580 580 + "linethrough": false, 581 581 + "deltaY": 0, 582 582 + "textBackgroundColor": "" 583 583 + }, 584 584 + "9": { 585 585 + "stroke": null, 586 586 + "strokeWidth": 1, 587 587 + "fill": "black", 588 588 + "fontFamily": "Times New Roman", 589 589 + "fontSize": "26", 590 590 + "fontWeight": "normal", 591 591 + "fontStyle": "normal", 592 592 + "underline": false, 593 593 + "overline": false, 594 594 + "linethrough": false, 595 595 + "deltaY": 0, 596 596 + "textBackgroundColor": "" 597 597 + }, 598 598 + "10": { 599 599 + "stroke": null, 600 600 + "strokeWidth": 1, 601 601 + "fill": "black", 602 602 + "fontFamily": "Times New Roman", 603 603 + "fontSize": "26", 604 604 + "fontWeight": "normal", 605 605 + "fontStyle": "normal", 606 606 + "underline": false, 607 607 + "overline": false, 608 608 + "linethrough": false, 609 609 + "deltaY": 0, 610 610 + "textBackgroundColor": "" 611 611 + }, 612 612 + "11": { 613 613 + "stroke": null, 614 614 + "strokeWidth": 1, 615 615 + "fill": "black", 616 616 + "fontFamily": "Times New Roman", 617 617 + "fontSize": "26", 618 618 + "fontWeight": "normal", 619 619 + "fontStyle": "normal", 620 620 + "underline": false, 621 621 + "overline": false, 622 622 + "linethrough": false, 623 623 + "deltaY": 0, 624 624 + "textBackgroundColor": "" 625 625 + }, 626 626 + "12": { 627 627 + "stroke": null, 628 628 + "strokeWidth": 1, 629 629 + "fill": "black", 630 630 + "fontFamily": "Times New Roman", 631 631 + "fontSize": "26", 632 632 + "fontWeight": "normal", 633 633 + "fontStyle": "normal", 634 634 + "underline": false, 635 635 + "overline": false, 636 636 + "linethrough": false, 637 637 + "deltaY": 0, 638 638 + "textBackgroundColor": "" 639 639 + }, 640 640 + "13": { 641 641 + "stroke": null, 642 642 + "strokeWidth": 1, 643 643 + "fill": "black", 644 644 + "fontFamily": "Times New Roman", 645 645 + "fontSize": "26", 646 646 + "fontWeight": "normal", 647 647 + "fontStyle": "normal", 648 648 + "underline": false, 649 649 + "overline": false, 650 650 + "linethrough": false, 651 651 + "deltaY": 0, 652 652 + "textBackgroundColor": "" 653 653 + }, 654 654 + "14": { 655 655 + "stroke": null, 656 656 + "strokeWidth": 1, 657 657 + "fill": "black", 658 658 + "fontFamily": "Times New Roman", 659 659 + "fontSize": "26", 660 660 + "fontWeight": "normal", 661 661 + "fontStyle": "normal", 662 662 + "underline": false, 663 663 + "overline": false, 664 664 + "linethrough": false, 665 665 + "deltaY": 0, 666 666 + "textBackgroundColor": "" 667 667 + }, 668 668 + "15": { 669 669 + "stroke": null, 670 670 + "strokeWidth": 1, 671 671 + "fill": "black", 672 672 + "fontFamily": "Times New Roman", 673 673 + "fontSize": "26", 674 674 + "fontWeight": "normal", 675 675 + "fontStyle": "normal", 676 676 + "underline": false, 677 677 + "overline": false, 678 678 + "linethrough": false, 679 679 + "deltaY": 0, 680 680 + "textBackgroundColor": "" 681 681 + }, 682 682 + "16": { 683 683 + "stroke": null, 684 684 + "strokeWidth": 1, 685 685 + "fill": "black", 686 686 + "fontFamily": "Times New Roman", 687 687 + "fontSize": "26", 688 688 + "fontWeight": "normal", 689 689 + "fontStyle": "normal", 690 690 + "underline": false, 691 691 + "overline": false, 692 692 + "linethrough": false, 693 693 + "deltaY": 0, 694 694 + "textBackgroundColor": "" 695 695 + }, 696 696 + "17": { 697 697 + "stroke": null, 698 698 + "strokeWidth": 1, 699 699 + "fill": "black", 700 700 + "fontFamily": "Times New Roman", 701 701 + "fontSize": "26", 702 702 + "fontWeight": "normal", 703 703 + "fontStyle": "normal", 704 704 + "underline": false, 705 705 + "overline": false, 706 706 + "linethrough": false, 707 707 + "deltaY": 0, 708 708 + "textBackgroundColor": "" 709 709 + }, 710 710 + "18": { 711 711 + "stroke": null, 712 712 + "strokeWidth": 1, 713 713 + "fill": "black", 714 714 + "fontFamily": "Times New Roman", 715 715 + "fontSize": "26", 716 716 + "fontWeight": "normal", 717 717 + "fontStyle": "normal", 718 718 + "underline": false, 719 719 + "overline": false, 720 720 + "linethrough": false, 721 721 + "deltaY": 0, 722 722 + "textBackgroundColor": "" 723 723 + }, 724 724 + "19": { 725 725 + "stroke": null, 726 726 + "strokeWidth": 1, 727 727 + "fill": "black", 728 728 + "fontFamily": "Times New Roman", 729 729 + "fontSize": "26", 730 730 + "fontWeight": "normal", 731 731 + "fontStyle": "normal", 732 732 + "underline": false, 733 733 + "overline": false, 734 734 + "linethrough": false, 735 735 + "deltaY": 0, 736 736 + "textBackgroundColor": "" 737 737 + }, 738 738 + "20": { 739 739 + "stroke": null, 740 740 + "strokeWidth": 1, 741 741 + "fill": "black", 742 742 + "fontFamily": "Times New Roman", 743 743 + "fontSize": "26", 744 744 + "fontWeight": "normal", 745 745 + "fontStyle": "normal", 746 746 + "underline": false, 747 747 + "overline": false, 748 748 + "linethrough": false, 749 749 + "deltaY": 0, 750 750 + "textBackgroundColor": "" 751 751 + }, 752 752 + "21": { 753 753 + "stroke": null, 754 754 + "strokeWidth": 1, 755 755 + "fill": "black", 756 756 + "fontFamily": "Times New Roman", 757 757 + "fontSize": "26", 758 758 + "fontWeight": "normal", 759 759 + "fontStyle": "normal", 760 760 + "underline": false, 761 761 + "overline": false, 762 762 + "linethrough": false, 763 763 + "deltaY": 0, 764 764 + "textBackgroundColor": "" 765 765 + }, 766 766 + "22": { 767 767 + "stroke": null, 768 768 + "strokeWidth": 1, 769 769 + "fill": "black", 770 770 + "fontFamily": "Times New Roman", 771 771 + "fontSize": "26", 772 772 + "fontWeight": "normal", 773 773 + "fontStyle": "normal", 774 774 + "underline": false, 775 775 + "overline": false, 776 776 + "linethrough": false, 777 777 + "deltaY": 0, 778 778 + "textBackgroundColor": "" 779 779 + }, 780 780 + "23": { 781 781 + "stroke": null, 782 782 + "strokeWidth": 1, 783 783 + "fill": "black", 784 784 + "fontFamily": "Times New Roman", 785 785 + "fontSize": "26", 786 786 + "fontWeight": "normal", 787 787 + "fontStyle": "normal", 788 788 + "underline": false, 789 789 + "overline": false, 790 790 + "linethrough": false, 791 791 + "deltaY": 0, 792 792 + "textBackgroundColor": "" 793 793 + }, 794 794 + "24": { 795 795 + "stroke": null, 796 796 + "strokeWidth": 1, 797 797 + "fill": "black", 798 798 + "fontFamily": "Times New Roman", 799 799 + "fontSize": "26", 800 800 + "fontWeight": "normal", 801 801 + "fontStyle": "normal", 802 802 + "underline": false, 803 803 + "overline": false, 804 804 + "linethrough": false, 805 805 + "deltaY": 0, 806 806 + "textBackgroundColor": "" 807 807 + }, 808 808 + "25": { 809 809 + "stroke": null, 810 810 + "strokeWidth": 1, 811 811 + "fill": "black", 812 812 + "fontFamily": "Times New Roman", 813 813 + "fontSize": "26", 814 814 + "fontWeight": "normal", 815 815 + "fontStyle": "normal", 816 816 + "underline": false, 817 817 + "overline": false, 818 818 + 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"fill": "black", 5670 5670 + "fontFamily": "Times New Roman", 5671 5671 + "fontSize": 32, 5672 5672 + "fontWeight": "normal", 5673 5673 + "fontStyle": "normal", 5674 5674 + "underline": false, 5675 5675 + "overline": false, 5676 5676 + "linethrough": false, 5677 5677 + "deltaY": 0, 5678 5678 + "textBackgroundColor": "" 5679 5679 + } 5680 5680 + } 5681 5681 + } 5682 5682 + }, 5683 5683 + { 5684 5684 + "type": "i-text", 5685 5685 + "version": "2.7.0", 5686 5686 + "originX": "center", 5687 5687 + "originY": "center", 5688 5688 + "left": 0, 5689 5689 + "top": 10, 5690 5690 + "width": 454.98, 5691 5691 + "height": 36.16, 5692 5692 + "fill": "black", 5693 5693 + "stroke": null, 5694 5694 + "strokeWidth": 1, 5695 5695 + "strokeDashArray": null, 5696 5696 + "strokeLineCap": "butt", 5697 5697 + "strokeDashOffset": 0, 5698 5698 + "strokeLineJoin": "round", 5699 5699 + "strokeMiterLimit": 4, 5700 5700 + "scaleX": 1, 5701 5701 + "scaleY": 1, 5702 5702 + "angle": 0, 5703 5703 + "flipX": false, 5704 5704 + "flipY": false, 5705 5705 + "opacity": 1, 5706 5706 + "shadow": null, 5707 5707 + "visible": true, 5708 5708 + "clipTo": null, 5709 5709 + "backgroundColor": "", 5710 5710 + "fillRule": "nonzero", 5711 5711 + "paintFirst": "fill", 5712 5712 + "globalCompositeOperation": "source-over", 5713 5713 + "transformMatrix": null, 5714 5714 + "skewX": 0, 5715 5715 + "skewY": 0, 5716 5716 + "text": "Search time (ms) without orange T ", 5717 5717 + "fontSize": 32, 5718 5718 + "fontWeight": "bold", 5719 5719 + "fontFamily": "Times New Roman", 5720 5720 + "fontStyle": "normal", 5721 5721 + "lineHeight": 1.16, 5722 5722 + "underline": false, 5723 5723 + "overline": false, 5724 5724 + "linethrough": false, 5725 5725 + "textAlign": "center", 5726 5726 + "textBackgroundColor": "", 5727 5727 + "charSpacing": 0, 5728 5728 + "id": "260", 5729 5729 + "styles": {} 5730 5730 + } 5731 5731 + ], 5732 5732 + "files": {}, 5733 5733 + "parameters": {}, 5734 5734 + "responses": { 5735 5735 + "keypress(Space)": "end" 5736 5736 + }, 5737 5737 + "messageHandlers": {}, 5738 5738 + "viewport": [ 5739 5739 + 800, 5740 5740 + 600 5741 5741 + ], 5742 5742 + "title": "End", 5743 5743 + "tardy": true 5744 5744 + } 5745 5745 + ] 5746 5746 + } 5747 5747 + 5748 5748 + // export 5749 5749 + export default studyObject;

app/utils/labjs/scripts/visualsearch/grid.gif

reviewed

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