Estimating cognitive load using remote eye tracking in a driving simulator

Oskar Palinko, Andrew L. Kun, Alexander Shyrokov, Peter Heeman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

143 Scopus citations

Abstract

We report on the results of a study in which pairs of subjects were involved in spoken dialogues and one of the subjects also operated a simulated vehicle. We estimated the driver's cognitive load based on pupil size measurements from a remote eye tracker. We compared the cognitive load estimates based on the physiological pupillometric data and driving performance data. The physiological and performance measures show high correspondence suggesting that remote eye tracking might provide reliable driver cognitive load estimation, especially in simulators. We also introduced a new pupillometric cognitive load measure that shows promise in tracking cognitive load changes on time scales of several seconds.

Original languageEnglish (US)
Title of host publicationProceedings of ETRA 2010
Subtitle of host publicationACM Symposium on Eye-Tracking Research and Applications
Pages141-144
Number of pages4
DOIs
StatePublished - May 21 2010
EventACM Symposium on Eye-Tracking Research and Applications, ETRA 2010 - Austin, TX, United States
Duration: Mar 22 2010Mar 24 2010

Publication series

NameEye Tracking Research and Applications Symposium (ETRA)

Other

OtherACM Symposium on Eye-Tracking Research and Applications, ETRA 2010
CountryUnited States
CityAustin, TX
Period3/22/103/24/10

Keywords

  • Cognitive load
  • Eye tracking
  • Pupillometry

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Ophthalmology
  • Sensory Systems

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  • Cite this

    Palinko, O., Kun, A. L., Shyrokov, A., & Heeman, P. (2010). Estimating cognitive load using remote eye tracking in a driving simulator. In Proceedings of ETRA 2010: ACM Symposium on Eye-Tracking Research and Applications (pp. 141-144). (Eye Tracking Research and Applications Symposium (ETRA)). https://doi.org/10.1145/1743666.1743701