GazeMind encodes gaze data for LLM reasoning to deliver interpretable, personalized cognitive load predictions that generalize across tasks without fine-tuning and outperform baselines by over 20% on a new 152-person dataset.
A machine learning approach for detecting cognitive interference based on eye-tracking data.Frontiers in Human Neuroscience, 16:806330
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GazeMind: A Gaze-Guided LLM Agent for Personalized Cognitive Load Assessment
GazeMind encodes gaze data for LLM reasoning to deliver interpretable, personalized cognitive load predictions that generalize across tasks without fine-tuning and outperform baselines by over 20% on a new 152-person dataset.