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

133 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 publicationEye Tracking Research and Applications Symposium (ETRA)
Pages141-144
Number of pages4
DOIs
Publication statusPublished - 2010
EventACM Symposium on Eye-Tracking Research and Applications, ETRA 2010 - Austin, TX, United States
Duration: Mar 22 2010Mar 24 2010

Other

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

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Keywords

  • Cognitive load
  • Eye tracking
  • Pupillometry

ASJC Scopus subject areas

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

Cite this

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