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Received: 2008-08-11

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Crosschecked: 2009-02-16

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Journal of Zhejiang University SCIENCE A 2009 Vol.10 No.4 P.530-534

http://doi.org/10.1631/jzus.A0820593


Human-centered modeling for style-based adaptive games


Author(s):  Chee-onn WONG, Jongin KIM, Eunjung HAN, Keechul JUNG

Affiliation(s):  Human-Centered Interfaces Lab, Department of Digital Media, Soongsil University, Seoul 156743, Korea

Corresponding email(s):   cheeonn@ssu.ac.kr, kcjung@ssu.ac.kr

Key Words:  Player modeling, Categorization matrix, Adaptive games, Human-centered modeling, Data clustering


Chee-onn WONG, Jongin KIM, Eunjung HAN, Keechul JUNG. Human-centered modeling for style-based adaptive games[J]. Journal of Zhejiang University Science A, 2009, 10(4): 530-534.

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Abstract: 
This letter proposes a categorization matrix to analyze the playing style of a computer game player for a shooting game genre. Our aim is to use human-centered modeling as a strategy for adaptive games based on entertainment measure to evaluate the playing experience. We utilized a self-organizing map (SOM) to cluster the player’s style with the data obtained while playing the game. We further argued that style-based adaptation contributes to higher enjoyment, and this is reflected in our experiment using a supervised multilayered perceptron (MLP) network.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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[9] Salen, K., Zimmerman, E., 2003. Rules of Play: Game Design Fundamentals. MIT Press, Cambridge, MA.

[10] Spronck, P., Ponsen, M., Sprinkhuizen-Kyuper, I., Postma, E., 2006. Adaptive game AI with dynamic scripting. Machine Learning, 63(3):217-248.

[11] Thurau, C., Bauchage, C., Sagerer, G., 2004. Imitation Learning at All Levels of Game AI. Proc. Int. Conf. on Computer Games, Artificial Intelligence, Design and Education, p.402-408.

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