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Estimating Perceived Mental Workload From Eye-Tracking Data Based on Benign Anisocoria published in IEEE Transactions on Human-Machine Systems

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Estimating Perceived Mental Workload From Eye-Tracking Data Based on Benign Anisocoria published in IEEE Transactions on Human-Machine Systems

We have developed two novel eye-tracking metrics to estimate perceived cognitive load based on benign anisocoria (difference between left and right pupil diameter). Our metrics outperform traditional pupil-based methods, providing a more accurate and reliable way to measure mental workload. Check out the early access here in IEEE Transactions on Human-Machine Systems