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Predicting Cognitive Workload in Visuospatial Tasks Using Pupillometry: A Machine Learning Approach

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Proceedings of the Human Factors and Ergonomics Society Annual Meeting

Published online on

Abstract

Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Volume 69, Issue 1, Page 1680-1686, September 2025.
Monitoring and controlling cognitive workload are critical for maintaining smooth performance in complex visuospatial tasks that require high mental effort. This study utilizes pupillometry in conjunction with machine learning models to predict cognitive ...