Eye Movement as Indicators of Mental Workload to Trigger Adaptive Automation

Authors:
Tjerk Greef;Harmen Lafeber;Herre Oostendorp;Jasper Lindenberg
Affiliations:
Man-Machine Interaction Group, Delft University of Technology, Delft, The Netherlands 2628 GA and Department of Human Factors, TNO Defence, Security and Safety, Soesterberg, The Netherlands 3769 Z ...;Department of Information and Computing Science, University of Utrecht, Utrecht, The Netherlands 3594 CH;Department of Information and Computing Science, University of Utrecht, Utrecht, The Netherlands 3594 CH;Department of Human Factors, TNO Defence, Security and Safety, Soesterberg, The Netherlands 3769 ZG
Venue:
FAC '09 Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009
Year:
2009

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Abstract

This research describes an approach to objective assessment of mental workload, by analyzing differences in pupil diameter and several aspects of eye movement (fixation time, saccade distance, and saccade speed) under different levels of mental workload. In an experiment, these aspects were measured by an eye-tracking device to examine whether these are indeed indicators for mental workload. Pupil diameter and fixation time both show a general significant increase if the mental workload increases while saccade distance and saccade speed do not show any significant differences. This assessment of mental workload could be a trigger for aiding the operator of an information system, in order to meet operational requirements.