Human-centered modeling for style-based adaptive games |
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| Authors: | Chee-onn Wong Jongin Kim Eunjung Han Keechul Jung |
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| Institution: | (1) 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.
Project supported by the Soongsil University Research Fund and the Information Technology Research Center (ITRC) Support Program
of the Ministry of Knowledge Economy (MKE), Korea |
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| Keywords: | Player modeling Categorization matrix Adaptive games Human-centered modeling Data clustering |
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