on004121
BCIT Mind Wandering
EEG
The BCIT Mind Wandering dataset comprises electroencephalography (EEG), eye tracking, and vehicle performance data collected during prolonged simulated driving tasks designed to assess fatigue-related biomarkers and driver performance under different cognitive load conditions. Participants performed 30-minute driving scenarios with three types of background audio (task-relevant, non-task-relevant, and internal focus) while responding to vigilance tasks and managing vehicle perturbations. This dataset extends prior driving research by incorporating extended time-on-task measurements and novel audio manipulations to investigate the relationship between brain activity, mind wandering, and driving performance.
- Participants
- 21
- Channels
- 64 (10-10)
- HED
- v8.0.0
- Size
- 23.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026