Measuring Flow Using Psychophysiological Data in a Multiplayer Gaming Context

Marie-Christine Bastarache-Roberge (), Pierre-Majorique Léger (), François Courtemanche (), Sylvain Sénécal () and Marc Fredette ()
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Marie-Christine Bastarache-Roberge: HEC Montreal
Pierre-Majorique Léger: HEC Montreal
François Courtemanche: HEC Montreal
Sylvain Sénécal: HEC Montreal
Marc Fredette: HEC Montreal

A chapter in Information Systems and Neuroscience, 2015, pp 187-191 from Springer

Abstract: 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.

Keywords: Flow in team; Games; Multiplayer; Neurophysiological data (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-319-18702-0_25

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DOI: 10.1007/978-3-319-18702-0_25

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