Mind-to-Play: User Intent Decoding in Neuroadaptive Virtual Reality Gaming with Eye Gaze and Passive Brain-Computer Interfaces

This dataset accompanies the Mind-to-Play project, which investigates user intent decoding for neuroadaptive VR gaming using eye gaze and passive brain-computer interfaces. The data were collected during an immersive VR task designed to evaluate whether task-relevant user intentions can be decoded from EEG signals. The dataset is organized by participant folders (sub-P001 to sub-P023) and includes one pilot folder (sub-pilot). Participant folders contain raw EEG data from two offline calibration sessions and one online session, organized as ses-offline1, ses-offline2, and ses-online. Besides, the folders include preprocessed EEG data, ICA-cleaned data, and bad-channel notes where applicable. The repository also includes the post-experiment questionnaire form and questionnaire response spreadsheet.