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http://dx.doi.org/10.7583/JKGS.2016.16.6.91

Developing Affective Computing Game with Player's Bio-Signal  

Lee, Chung-Hyeon (School of Games, Hongik University)
Kim, Dong-Gyun (School of Games, Hongik University)
Kim, Hye-Young (School of Games, Hongik University)
Kang, Shin-Jin (School of Games, Hongik University)
Publication Information
Journal of Korea Game Society / v.16, no.6, 2016 , pp. 91-100 More about this Journal
Abstract
In this research, Affective computing game has been developed which reacts with a player's bio-signals. A modified computer mouse will be used to collect bio-signals by GSR, FSR, and infrared thermometer. This modified computer mouse collect human bio-signals in non-intrusive way. The collected data is complementary reflected in 3 level of tension of a player. The player's tension affects on the game and the reaction for NPC will be followed. Then this leads to plot changes individually. To let diverse NPC reaction and interactive story telling, Live 2d and Inkle Script have been used. This research can be alternative method on the game development using Affective computing.
Keywords
Affective computing; GSR; FSR; Infrared Thermometer; Interactive Story Game;
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  • Reference
1 Inkle Script, http://www.inklestudios.com/
2 Live 2d, http://www.live2d.com
3 J, Tao and T, Tan, "Affective computing: A review." International Conference on Affective Computing and Intelligent Interaction, pp. 981-995, 2005.
4 P, Helmut, "Using human physiology to evaluate subtle expressivity of a virtual quizmaster in a mathematical game", Int. J. Human-Computer Studies 62, pp. 231-245, 2005.   DOI
5 H, Heo, "A realistic game system using multi-modal user interfaces", IEEE Transactions on Consumer Electronics, Vol. 56, No. 3, pp. 1364-1372, 2010.   DOI
6 H, Eva, "Affective computing for game design", In Proceedings of the 4th Intl. North American Conference on Intelligent Games and Simulation (GAMEON-NA),pp. 5-12, 2008.
7 Z, Zeng, et al. "Audio-visual affect recognition." IEEE Transactions on multimedia Vol. 9,No. 2, pp.424-428, 2007.   DOI
8 F, Dellaert and T, Polzin and A, Waibel, "Recognizing emotion in speech", In Proc. Of ICSLP 1996, Philadelphia, PA, pp. 1970-1973, 1996.
9 Petrushin, "Emotion recognition in speech signal: experimental study, development, and application", studies, 3, 4, 2000.
10 CG, Kohler, et al, "Facial emotion recognition in schizophrenia: intensity effects and error pattern.", American Journal of Psychiatry 160.10, pp. 1768-1774, 2003.   DOI
11 AC, Merzagora, et al, "Wavelet analysis for EEG feature extraction in deception detection." EMBS'06. 28th Annual International Conference of the IEEE, pp. 2434-2437, 2006.
12 WU, Guanghua and LIU, Guangyuan and HAO, Min. "The analysis of emotion recognition from GSR based on PSO", International Symposium on. IEEE, pp. 360-363. 2010.
13 HD, Kim and HC, Yang and KB, Sim, "Emotion Recognition Method for Driver Services.", Korean Institute of Intelligent Systems, pp. 438-442, 2007.
14 Electroencephalography setup image, https://en.wikipedia.org/wiki/Electroencephalography
15 Facade, http://www.interactivestory.net/
16 HS, Jang and WH, Lee, "Using Biofeedback and an observational learning theory for intelligent game NPC Design", Korean Society For Internet Information, Vol. 9, No. 2, pp.409-412, 2008.
17 MY, Kim, et al, "Korean Society For Internet Information", The Korean Society for Computer game, Vol. 24, No. 4, pp. 73-80, 2011.