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Updated: Jun 14, 2026
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Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
Published on: March 18, 2019
Saccadic peak velocity sensitivity to variations in mental workload
Leandro L Di Stasi1, Rebekka Renner, Peggy Staehr
1Applied Cognitive Research Unit/Psychology III, Technische Universitaet Dresden, Dresden, Germany. distasi@ugr.es
Aviation, Space, and Environmental Medicine
|April 10, 2010
Summary
Saccadic peak velocity, a measure of eye movement, decreases with increased mental workload. This finding suggests its potential for assessing operator workload and attention in demanding situations.
Area of Science:
- Neuroergonomics
- Human Factors Engineering
Background:
- Reliable methods for measuring mental workload are crucial for (neuro)ergonomics research and applications.
- This study investigates saccadic eye movements as a potential online assessment tool for mental workload.
Purpose of the Study:
- To examine the hypothesis that saccadic eye movements can serve as a reliable online measure of mental workload.
- To evaluate the utility of saccadic main sequence parameters in assessing mental workload during a simulated driving task.
Main Methods:
- Utilized saccadic main sequence (amplitude, duration, peak velocity) as a diagnostic measure.
- Recorded eye movements of 18 drivers in a virtual driving task with varying complexity levels.
- Employed Wickens' multiple resources model as a theoretical framework and assessed workload multidimensionally.
Main Results:
- Saccadic peak velocity decreased significantly (7.2 visual degrees/s) as mental workload increased.
- Increased mental workload correlated with higher scores on mental workload tests (15.2 scores) and longer reaction times on a secondary task (46 ms).
Conclusions:
- Saccadic peak velocity is demonstrably affected by mental workload variations in ecologically valid tasks.
- Saccadic peak velocity shows promise as a diagnostic index for assessing operator mental workload and attentional state in high-risk environments.
