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Feasibility of Longitudinal Eye-Gaze Tracking in the Workplace

  • Stephen Hutt
  • , Angela E.B. Stewart
  • , Julie Gregg
  • , Stephen Mattingly
  • , Sidney K. D'mello

Research output: Contribution to journal › Article › peer-review

Abstract

Eye movements provide a window into cognitive processes, but much of the research harnessing this data has been confined to the laboratory. We address whether eye gaze can be passively, reliably, and privately recorded in real-world environments across extended timeframes using commercial-off-the-shelf (COTS) sensors. We recorded eye gaze data from a COTS tracker embedded in participants (N=20) work environments at pseudorandom intervals across a two-week period. We found that valid samples were recorded approximately 30% of the time despite calibrating the eye tracker only once and without placing any other restrictions on participants. The number of valid samples decreased over days with the degree of decrease dependent on contextual variables (i.e., frequency of video conferencing) and individual difference attributes (e.g., sleep quality and multitasking ability). Participants reported that sensors did not change or impact their work. Our findings suggest the potential for the collection of eye-gaze in authentic environments.

Original languageEnglish (US)
Article number148
JournalProceedings of the ACM on Human-Computer Interaction
Volume6
Issue numberETRA
DOIs
StatePublished - May 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 ACM.

Keywords

  • eye gaze
  • longitudinal data collection
  • workplace

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