Citation

Biswas P, Prabhakar G. Transp. Res. F Traffic Psychol. Behav. 2018; 54: 63-78.

Copyright

(Copyright © 2018, Elsevier Publishing)

DOI

10.1016/j.trf.2018.01.017

PMID

unavailable

Abstract

In this paper, we have explored use of Saccadic Intrusion to detect drivers' cognitive load and instantaneous perception of developing road hazards. Saccadic Intrusion is a type of eye gaze movement which was earlier found to be related to change in cognitive load. We have developed an algorithm to detect saccadic intrusion from a commercially available low-cost eye gaze tracker and conducted four user studies involving a driving simulator and cognitive and hazard perception tests. Our results show that average velocities of saccadic intrusion increases with increase in cognitive load and recording saccadic intrusion and eye blinks for 6 s duration can predict drivers' instantaneous perception of developing road hazards.

Language: en

Keywords

Automotive; Cognitive load; Eye gaze tracker; Hazard perception; Human machine interaction; Saccadic intrusion