Abstract
Keygraph is a visualization tool for discovery of relations among text-based data. This paper discusses a new application of KeyGraph for discovery of player characteristics in Massively Multiplayer Online Games (MMOGs). To achieve high visualization ability for this application, we propose a preprocessing method that aggregates action symbol sub-sequences of players into more informative forms. To verify whether this aim is achieved, we conduct an experiment where human subjects are asked to classify types of players in a simulated MMOG with KeyGraphs using and not using the proposed preprocessing method. Experimental results confirm the effectiveness of the proposed method.
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© 2005 IFIP International Federation for Information Processing
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Thawonmas, R., Hata, K. (2005). Aggregation of Action Symbol Sub-sequences for Discovery of Online-Game Player Characteristics Using KeyGraph. In: Kishino, F., Kitamura, Y., Kato, H., Nagata, N. (eds) Entertainment Computing - ICEC 2005. ICEC 2005. Lecture Notes in Computer Science, vol 3711. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558651_13
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DOI: https://doi.org/10.1007/11558651_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29034-6
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