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Boredom, Engagement and Anxiety as Indicators for Adaptation to Difficulty in Games

Presented at Tampere, Finland, 2008
PublisherNew York : ACM
Publication date2008
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.

Citation (ISO format)
CHANEL, Guillaume et al. Boredom, Engagement and Anxiety as Indicators for Adaptation to Difficulty in Games. In: MindTrek ’08 : Proceedings of the 12th international conference on Entertainment and media in the ubiquitous era. Tampere, Finland. New York : ACM, 2008. p. 13–17. doi: 10.1145/1457199.1457203
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ISBN978-1-60558-197-2
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