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Emotion Arousal Assessment Based on Multimodal Physiological Signals for Game Users | IEEE Journals & Magazine | IEEE Xplore

Emotion Arousal Assessment Based on Multimodal Physiological Signals for Game Users


Abstract:

Emotional arousal, an essential dimension of game users’ experience, plays a crucial role in determining whether a game is successful. Game users’ emotion arousal assessm...Show More

Abstract:

Emotional arousal, an essential dimension of game users’ experience, plays a crucial role in determining whether a game is successful. Game users’ emotion arousal assessment (GUEA) is of great importance. However, GUEA often faces challenges, such as selecting emotion-inducing games, labeling emotional arousal, and improving accuracy. In this study, the scheme for verifying the effectiveness of emotion-induced games is proposed so that the selected games can induce the target emotions. In addition, the personalized arousal label generation method is developed to reduce the errors caused by individual differences among subjects. Furthermore, to improve the accuracy of GUEA, the Breath Rate Variability (BRV) signal is used as a GUEA indicator along with commonly used physiological signals. Comparative experiments on GUEA based on multimodal physiological signals are conducted. The experimental result shows that the accuracy of GUEA is improved by adding the BRV signal, up to 92%.
Published in: IEEE Transactions on Affective Computing ( Volume: 14, Issue: 4, 01 Oct.-Dec. 2023)
Page(s): 2582 - 2594
Date of Publication: 06 April 2023

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