Quantitative evaluation of mental workload by using model of involuntary eye movement

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Abstract

This study considers a new method to quantify mental workloads (MWL) by using mathematical models for reflex movement of eye. Several mathematical models of reflex movements have been proposed and experimentally verified by physiologists. In those models, some models of vestibulo-ocular reflex (VOR) have sufficient accuracy to predict eye movements of individuals. The engagement of brain function to VOR is known in the learning process or in the adaptation process. This leads to the assumption that metal workloads appears in the change of characteristics of VOR. So as to confirm the assumption, we have designed an experimental setup and carried out several experiments. In the experiments, subject's VOR responses have be accurately predicted by the mathematical model which is a dynamical model with the input of head movements and the output of eye movements. The model dynamics have changed while the subject was engaging in a higher cognitive activity. The coherence between the predicted VOR from the identified model of the particular subject and the observed VOR was as high as 0.92 when there was no additional mental demands. However, the changing MWL over five different n-back tasks revealed the clear correlation between the predicted VOR coherences and the MWL demands. This shows that MWL can be objectively quantified by measuring the error between observed VOR responses and the predicted VOR ones from the identified model. © 2009 Springer Berlin Heidelberg.

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APA

Obinata, G., Tokuda, S., Fukuda, K., & Hamada, H. (2009). Quantitative evaluation of mental workload by using model of involuntary eye movement. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5639 LNAI, pp. 223–232). https://doi.org/10.1007/978-3-642-02728-4_24

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