Boredom, engagement and anxiety as indicators for adaptation to difficulty in games

Authors:
Guillaume Chanel;Cyril Rebetez;Mireille Bétrancourt;Thierry Pun
Affiliations:
University of Geneva, Carouge, Switzerland;University of Geneva, Carouge, Switzerland;University of Geneva, Carouge, Switzerland;University of Geneva, Carouge, Switzerland
Venue:
Proceedings of the 12th international conference on Entertainment and media in the ubiquitous era
Year:
2008

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Abstract

This paper proposes an approach based on emotion recognition to maintain engagement of players in a game by modulating the game difficulty. Physiological and questionnaire data were gathered from 20 players during and after playing a Tetris game at different difficulty levels. Both physiological and self-report analyses lead to the conclusion that playing at different levels gave rise to different emotional states and that playing at the same level of difficulty several times elicits boredom. Emotion assessment from physiological signals was performed using a SVM (Support Vector Machine). An accuracy of 53.33% was obtained on the discrimination of three emotional classes, namely boredom, anxiety, engagement.