Exploring Eye-Tracking Data for Detection of Mind-Wandering on Web Tasks

Jacek Gwizdka ()
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Jacek Gwizdka: University of Texas at Austin

A chapter in Information Systems and Neuroscience, 2019, pp 47-55 from Springer

Abstract: Abstract 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.

Keywords: Mind-wandering; Mindless reading; Eye-tracking; Pupillometry (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-01087-4_6

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DOI: 10.1007/978-3-030-01087-4_6

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