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Title

GamEMO: How Physiological Signals Show your Emotions and Enhance your Game Experience

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Published in ICMI '12 Proceedings of the 14th ACM international conference on Multimodal interaction. Santa Monica (California, USA) - October 22-26th, 2012 - Association for Computing Machinery (ACM). 2012, p. 297-298
Abstract The proposed demonstration is an automatic emotion assessment installation used for game's dynamic difficulty adjustment. The goal of the system is to maintain the player of the game in a state of entertainment and engagement where his/her skills match the difficulty level of the game. The player's physiological signals are recorded while playing a Tetris game and signal processing, feature extraction and classification techniques are applied to the signals in order to detect when the player is anxious or bored. The level of the Tetris game is then adjusted according to the player's detected emotional state. The demonstration will also serve as an experimental protocol to test the player's experience through their interaction with the proposed platform.
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ISBN: 978-1-4503-1467-1
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Research groups Computer Vision and Multimedia Laboratory
Multimodal Interaction Group
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(ISO format)
CHANEL, Guillaume, KALOGIANNI, Konstantina, PUN, Thierry. GamEMO: How Physiological Signals Show your Emotions and Enhance your Game Experience. In: ICMI '12 Proceedings of the 14th ACM international conference on Multimodal interaction. Santa Monica (California, USA). [s.l.] : Association for Computing Machinery (ACM), 2012. p. 297-298. https://archive-ouverte.unige.ch/unige:75212

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Deposited on : 2015-09-15

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