Monday, June 22
10:20-10:40 AM
EDT
Salon A

Toward Brain-based Gaming: MeasuringEngagement During Gameplay

Brief Paper: New Development ID: 45350
  1. aaa
    Sahbi Benlamine
    University of Montreal
  2. Samira Bouslimi
    University of Montreal
  3. Jason Harley
    University of Montreal
  4. Claude Frasson
    University of Montreal
  5. Aude Dufresne
    University of Montreal

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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