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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/13760

タイトル: Evolutionary Changes of Pokemon Game: A Case Study with Focus On Catching Pokemon
著者: Panumate, Chetprayoon
Xiong, Shuo
Iida, Hiroyuki
Kondo, Toshiaki
キーワード: game refinement theory
発行日: 2015-09-29
出版者: Springer
誌名: Lecture Notes in Computer Science
巻: 9353
開始ページ: 182
終了ページ: 194
DOI: 10.1007/978-3-319-24589-8_14
抄録: Game refinement is a unique theory that has been used asa reliable tool for measuring the attractiveness and sophistication of the games considered. A game refinement measure is derived from a game information progress model and has been applied in various games. In this paper, we aim to investigate the attractiveness of Pokemon, one of themost popular turn-based RPG games. We focus on catching Pokemons which are important components in the game. Then, we propose a new game refinement model with consideration on a prize cost and apply it to catching Pokemons. We analyze in every generation of the game. Experimental results show that a game refinement value of catching Pokemons which has been changed many times tries to reach to an appropriate range of game refinement value: 0.07 - 0.08 for which previous works have confirmed.
Rights: This is the author-created version of Springer, Chetprayoon Panumate, Shuo Xiong, Hiroyuki Iida, Toshiaki Kondo, Lecture Notes in Computer Science, 9353, 2015, 182-194. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/978-3-319-24589-8_14
URI: http://hdl.handle.net/10119/13760
資料タイプ: author
出現コレクション:b10-1. 雑誌掲載論文 (Journal Articles)


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