Exploring Embodied Cognition and Brain Dynamics under Multi-tasks Target Detection in Immerse Projector-based Augmented Reality (IPAR) Scenarios
收藏DataCite Commons2024-10-30 更新2025-04-16 收录
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https://dataverse.lib.nycu.edu.tw/citation?persistentId=doi:10.57770/T21ZSQ
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This supplementary data is a fifteen-participant EEG dataset for target detection under four multi-tasks in IPAR scenarios. None of the individuals had a history of neurological or psychiatric conditions, and they were all right-handed and had normal or corrected vision. The total duration of the experiment was about 24 minutes, divided into 1 minute of baseline (resting EEG), four different sessions, and four rests. We disrupted the order of four multi-task conditions (stand no distraction condition (SND), walk no distraction condition (WND), stand distraction condition (SD), and walk distraction condition (WD)) to counterbalance the session order. Each subject completed four multi-task sessions. The subjects must pay attention to the distraction light signal on the treadmill.
提供机构:
NYCU Dataverse
创建时间:
2024-10-29



