Abstract
Flow is a desirable state where an individual is focused and satisfied. Traditional flow models are based on an individual’s skills and the challenges he faces. The objective of this ongoing research is to investigate, in a gaming context, how a player’s and his teammate’s personality and neurophysiological reactions can contribute in explaining a player’s flow assessment. Our preliminary results show that adding these measures significantly increases the performance of predicting flow models.
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Bastarache-Roberge, MC., Léger, PM., Courtemanche, F., Sénécal, S., Fredette, M. (2015). Measuring Flow Using Psychophysiological Data in a Multiplayer Gaming Context. In: Davis, F., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A. (eds) Information Systems and Neuroscience. Lecture Notes in Information Systems and Organisation, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-319-18702-0_25
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DOI: https://doi.org/10.1007/978-3-319-18702-0_25
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