Measuring Flow Using Psychophysiological Data in a Multiplayer Gaming Context
MARIE-CHRISTINE BASTARACHE-ROBERGE, PIERRE-MAJORIQUE LÉGER, FRANÇOIS COURTEMANCHE, SYLVAIN SÉNÉCAL AND MARC FREDETTE
Gmunden Retreat on NeuroIS 2015
June 3rd 2015, Gmunden, Austria
Objective:INVESTIGATE, IN A GAMING CONTEXT, HOW A PLAYER’S AND HIS TEAMMATE’S PERSONALITY AND NEUROPHYSIOLOGICAL REACTIONS CAN CONTRIBUTE IN EXPLAI-NING A PLAYER’S FLOW ASSESSMENT.
Integrative definiton of flow experience(PEIFER, 2012)
Optimal challenge
Physiological activation
Positive valence
FLOW = DiFF icuLty anD cOmpet ency+
psychOphys iOLOgicaL stat e OF t he Learner
Predicting the flow state
16%
18%
© Copyright Tech3Lab 2015
Léger, Pierre-Majorique, et al. “Neurophysiological correlates of cognitive absorption in an enactive training context.” Computers in Human Behavior 34 (2014): 273-283.
FLOW OF pLayer (a)= DiFF icuLty + cOmpet ency+
pLayer (a)+pLayer (B)
Predicting flow in multiplayer context
66%
Léger et al (unpublished)
Automatic facial analysis and behavioural predictionFACIAL EMOTION CAN PREDICT UP TO 30 SEC BEFORE THE INTENTION TO CHANGE THE DIFFICULTY OF A GAME.