Quantifying Driver's Mental Workload Using Saccadic Eye Movements

Satoru Tokuda, Goro Obinata, Evan Palmer, Alex Chaparro

Research output: Contribution to conferencePresentation

Abstract

This paper shows the relationship between mental workload (MWL) and a specific type of saccadic eye movements, called 'saccadic intrusions.' When MWL was high, saccadic intrusions were observed significantly more. Previously, pupil diameter was considered as the most accurate index of MWL out of the physiological indices. However, our study has indicated that saccadic intrusions seem to be a better index to reflect MWL than pupil diameter does. The results show the possibility of a real-time MWL estimation system that can detect a moment of driver's cognitive overload.
Original languageAmerican English
StatePublished - Nov 2011
Externally publishedYes
Event54th Japan Joint Automatic Control Conference - Toyohashi, Aichi, Japan
Duration: Nov 1 2011 → …

Conference

Conference54th Japan Joint Automatic Control Conference
Period11/1/11 → …

Keywords

  • mental workload
  • eye movements
  • saccade
  • fixational eye movement
  • driver's state estimation

Disciplines

  • Cognition and Perception
  • Cognitive Psychology

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