Collecting neurophysiological data to investigate users’ cognitive states during game play

Patrick Charland ., Geneviève Allaire-Duquette ., Pierre-Majorique Léger .

Abstract


This paper explores the potential of collecting neurophysiological data in order to further understand user’s learning experience. The experimental setup involves collecting electroencephalographic signal (EEG) from the brain cortex to infer users’ cognitive state while they played an educational video game designed to support the learning of Newtonian mechanics. Preliminary results suggest that this neuroscience perspective is quite promising in the idea of quantitatively characterizing users’ learning experience. This could be an innovative and promising avenue in general game development or in educational videogame research field.

Full Text:

PDF

Refbacks

  • There are currently no refbacks.