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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Using EEG Biometric Feedback Devices to Investigate Interruption Impact on Multi-tasking Task Completion
verfasst von : Robert Beaton, D. Scott McCrickard, Manuel Pérez-Quiñones
Erschienen in: HCI International 2013 - Posters’ Extended Abstracts
Verlag: Springer Berlin Heidelberg
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This work explores ways to unobtrusively capture biometric data, calculate metrics important to the user, and deliver the metrics in ways that empower people to lead more mentally balanced lives. An initial experiment explored how one type of biometric data (EEG) could be unobtrusively collected and analyzed in real time to differentiate user task engagement for single and dual tasks. We found statistically significant differences in mean engagement values across tasks, with a higher engagement mean when participants were asked to monitor a constantly updating news-feed than when they were asked to complete a math test, or the two simultaneously. Similar biometric inputs could be used to explore mental state from cognitive variables like interruption. Future work focuses on how devices worn or carried by the user can provide on-demand information about daily mental activity, balanced by web dashboards that can provide a rich contextual viewport.