NEMAR copy of ds004657
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Each OpenNeuro pull is a NEMAR major bump
(vN.0.0); intermediate versions are NEMAR-side fixes.
Driving with Autonomous Aids
This dataset comprises multimodal physiological and behavioral recordings (EEG, EOG, ECG, EDA, and gaze tracking) collected during a semi-automated driving task designed to study trust in automation (TiA). Participants performed lane maintenance, following distance, and collision avoidance tasks under varying levels of autonomous driving assistance, with the aim of developing quantitative metrics that predict and track changes in operator trust. The research supports the development of psychophysiology-based indicators for real-time trust monitoring in human-autonomy interaction, relevant to military vehicle survivability and human factors research.
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Coming soon. Per-file data-quality summaries are precomputed by the NEMAR processing pipeline. The static aggregate is on the way — tracked at nemar-cli#511.