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Received: 2008-08-11

Revision Accepted: 2009-02-13

Crosschecked: 2009-02-16

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


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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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.

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