2017
DOI: 10.1115/1.4036131
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The Relationship Between Design Outcomes and Mental States During Ideation

Abstract: Using electroencephalography (EEG) to predict design outcomes could be used in many applications as it facilitates the correlation of engagement and cognitive workload with ideation effectiveness. It also establishes a basis for the connection between EEG measurements and common constructs in engineering design research. In this paper, we propose a support vector machine (SVM)-based prediction model for design outcomes using EEG metrics and some demographic factors as predictors. We trained and validated the m… Show more

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Cited by 12 publications
(3 citation statements)
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References 66 publications
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“…We expected participants’ emotions to be positive when the visualization depicted positive things happening, for example, community immunity being achieved and protecting community members, and to be negative when the visualization depicted negative things happening, for example, an infection spreading in the community. We used EEG to assess participants’ cognitive workload and engagement while looking at the information provided in the visualization [ 37 ]. We aimed for participants to experience higher engagement when interacting with the visualization without exceeding a cognitive load threshold above which they might be less likely to process new information.…”
Section: Methodsmentioning
confidence: 99%
“…We expected participants’ emotions to be positive when the visualization depicted positive things happening, for example, community immunity being achieved and protecting community members, and to be negative when the visualization depicted negative things happening, for example, an infection spreading in the community. We used EEG to assess participants’ cognitive workload and engagement while looking at the information provided in the visualization [ 37 ]. We aimed for participants to experience higher engagement when interacting with the visualization without exceeding a cognitive load threshold above which they might be less likely to process new information.…”
Section: Methodsmentioning
confidence: 99%
“…Ulrich (1981) examined EEG and heart rate data to study perceptions of urban and rural environments [18]. Hu et al (2017) used EEG to predict design outcomes while establishing a basis for the connection between EEG measurements and common constructs in engineering design research [19]. Their findings reveal that cognitive engagement is correlated with design outcome.…”
Section: Use Of Eeg In the Study Of The Built Environmentmentioning
confidence: 99%
“…We expected participants' emotions to be positive when the visualization depicted positive things happening; for example, community immunity being achieved and therefore protecting community members, and to be negative when the visualization depicted negative things happening; for example, an infection spreading in the community. We used EEG to assess participants' cognitive workload and engagement while looking at the information provided in the visualization [37]. We aimed for participants to experience higher engagement when interacting with the visualization without exceeding a cognitive load threshold above which they might be less likely to process new information.…”
Section: Psychophysiological Measurementmentioning
confidence: 99%