COLET: A dataset for COgnitive workLoad estimation based on eye-tracking
Emmanouil KtistakisVasileios SkaramagkasDimitris ManousosNikolaos S. TachosEvanthia E. TripolitiDimitrios I. FotiadisManolis Tsiknakis
Abstract
Machine learning analysis demonstrated potential in discriminating cognitive workload levels using only eye-tracking characteristics. The proposed dataset includes a much higher sample size and a wider spectrum of eye and gaze metrics than other similar datasets, allowing for the examination of their relations with various cognitive states.
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