Feasibility of Longitudinal Eye-Gaze Tracking in the Workplace
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.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- May 13, 2022
- Source ID
- 10.1145/3530889
Entities
People
- Angela E.b. Stewart
- Julie Gregg
- Sidney D’Mello
- Stephen Hutt
- Stephen M. Mattingly
Organizations
- Carnegie Mellon University
- Intelligence Advanced Research Projects Activity
- National Science Foundation
- University of Colorado Boulder
- University of Notre Dame
- University of Pennsylvania