Exploring Eye-Tracking Data for Detection of Mind-Wandering on Web Tasks
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Mind-wandering (MW) is a phenomenon that affects most of us; it affects our interactions with information systems. Yet the literature on its effects on human-computer interaction is only scant. This research aims to contribute to establishing eye-tracking measures that could be used to detect periods of MW while a user is engaged in interaction with online information. We conducted a lab study (N = 30) and present an exploratory analysis of eye-tracking data with a focus on finding differences between periods of MW and not-MW. We found 12 eye tracking measures that were significantly different between periods of MW and not-MW. We also show promising classification results of the same variables. Our results indicate plausibility of using eye-tracking data to infer periods of MW.
KeywordsMind-wandering Mindless reading Eye-tracking Pupillometry
This project was supported, in part, by the Temple Teaching Fellowship 2016–2017. We thank Ms. Xueshu Chen, who was a Graduate Research Assistant, for her contributions to this project.
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