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Measuring Flow Using Psychophysiological Data in a Multiplayer Gaming Context

In: Information Systems and Neuroscience

Author

Listed:
  • Marie-Christine Bastarache-Roberge

    (HEC Montreal)

  • Pierre-Majorique Léger

    (HEC Montreal)

  • François Courtemanche

    (HEC Montreal)

  • Sylvain Sénécal

    (HEC Montreal)

  • Marc Fredette

    (HEC Montreal)

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.

Suggested Citation

  • Marie-Christine Bastarache-Roberge & Pierre-Majorique Léger & François Courtemanche & Sylvain Sénécal & Marc Fredette, 2015. "Measuring Flow Using Psychophysiological Data in a Multiplayer Gaming Context," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph (ed.), Information Systems and Neuroscience, edition 127, pages 187-191, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-18702-0_25
    DOI: 10.1007/978-3-319-18702-0_25
    as

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