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

In: Information Systems and Neuroscience

Author

Listed:
  • Jacek Gwizdka

    (University of Texas at Austin)

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.

Suggested Citation

  • Jacek Gwizdka, 2019. "Exploring Eye-Tracking Data for Detection of Mind-Wandering on Web Tasks," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph (ed.), Information Systems and Neuroscience, pages 47-55, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-01087-4_6
    DOI: 10.1007/978-3-030-01087-4_6
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