Toward Brain-based Gaming: MeasuringEngagement During Gameplay
Brief Paper: New Development
ID: 45350
Abstract: In this study analyzed electroencephalography (EEG) and online self-report emotion data from 20 students during their interactions with a 3D adventure game developed using the Unity engine. Analyses of the data revealed that EEG can be effectively used to measure learners’ engagement, that this metric corresponds to participants levels of self-reported emotions, and that directional differences exist between gamer and non-gamer men, as well as women that warrant future study.
Presider: Adrian Norman, Macquarie University, Sydney
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