Bridging the Gap Between Design and Access: Toward Visual Scene Displays for Brain-Computer Interface Use in AAC by Children

Other: This dataset contains EEG recordings collected during a pediatric P300-based BCI-AAC study examining how children process different visual display formats. Participants completed three display conditions: Scene, Random, and Grid, which presented the same eight line-drawn objects organized with varying levels of contextual and spatial information. EEG data were collected during a visual attention task in which participants focused on a target object while ignoring non-target flashes. The dataset includes preprocessed EEG files and ERP difference wave data (target minus non-target responses) for each condition. Python and Matlab have libraries that read the BrainVision Analyzer format.