| Information Science |
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| Human-centered modeling for style-based adaptive games |
| Chee-onn WONG, Jongin KIM, Eunjung HAN, Keechul JUNG |
| Human-Centered Interfaces Lab, Department of Digital Media, Soongsil University, Seoul 156743, Korea |
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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.
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Received: 11 August 2008
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