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Cited by 398

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Emotion Assessment From Physiological Signals for Adaptation of Game Difficulty

Open access
Chanel, G., Rebetez, C., Bétrancourt, M., Pun, T.·2011·IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
DOI 10.1109/tsmca.2011.2116000
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Abstract

This paper proposes to maintain player's engagement by adapting game difficulty according to player's emotions assessed from physiological signals. The validity of this approach was first tested by analyzing the questionnaire responses, electroencephalogram (EEG) signals, and peripheral signals of the players playing a Tetris game at three difficulty levels. This analysis confirms that the different difficulty levels correspond to distinguishable emotions, and that, playing several times at the same difficulty level gives rise to boredom. The next step was to train several classifiers to automatically detect the three emotional classes from EEG and peripheral signals in a player-independent framework. By using either type of signals, the emotional classes were successfully recovered, with EEG having a better accuracy than peripheral signals on short periods of time. After the fusion of the two signal categories, the accuracy raised up to 63%.

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Metadata

Authors
Chanel, G., Rebetez, C., Bétrancourt, M., & Pun, T.
Venue
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2011-11
Volume
41
Issue
6
Pages
1052-1063
ISSN
  • 1083-4427 (ISSN-L)
  • 1558-2426
DOI
10.1109/tsmca.2011.2116000
OpenAlex
W2126707560
Cited by
398
References
42
FWCI
23.33
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Emotion Assessment From Physiological Signals for Adaptation of Game Difficulty. https://app.cochat.ai/papers/10.1109/tsmca.2011.2116000
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Chanel, G., Rebetez, C., Bétrancourt, M., & Pun, T. (2011). Emotion Assessment From Physiological Signals for Adaptation of Game Difficulty. IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. https://doi.org/10.1109/tsmca.2011.2116000

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.