Emotion Assessment From Physiological Signals for Adaptation of Game Difficulty

@article{Chanel2011EmotionAF,
  title={Emotion Assessment From Physiological Signals for Adaptation of Game Difficulty},
  author={Guillaume Chanel and Cyril Rebetez and Mireille B{\'e}trancourt and Thierry Pun},
  journal={IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans},
  year={2011},
  volume={41},
  pages={1052-1063}
}
  • G. Chanel, Cyril Rebetez, T. Pun
  • Published 1 November 2011
  • Computer Science
  • IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans
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… 
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