Research on Time Series Evaluation of Cognitive Load Factors using Features of Eye Movement

Abstract

The relationship between ocular metrics and factor ratings for mental workloads are examined using a Bayesian statistical state-space modeling technique. During a visual search task experiment, microsaccade frequency and pupil size were observed as measures of mental workload. Individual mental workloads were measured using a 6 factor NASA-TLX rating scale. The models calculated generalized temporal changes of microsaccade frequency and pupil size during tasks. The contributions of factors of mental workload are examined using effect size. Also, chronological analysis was introduced to detect the reactions of the metrics during tasks. The results suggest that the response selectivity of microsaccades and pupil size can be used as factors of mental workload.