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http://hdl.handle.net/10119/13760
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| Title: | Evolutionary Changes of Pokemon Game: A Case Study with Focus On Catching Pokemon |
| Authors: | Panumate, Chetprayoon
Xiong, Shuo
Iida, Hiroyuki
Kondo, Toshiaki |
| Keywords: | game refinement theory
engagement
Pokemon |
| Issue Date: | 2015-09-29 |
| Publisher: | Springer |
| Magazine name: | Lecture Notes in Computer Science |
| Volume: | 9353 |
| Start page: | 182 |
| End page: | 194 |
| DOI: | 10.1007/978-3-319-24589-8_14 |
| Abstract: | 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 |
| Material Type: | author |
| Appears in Collections: | b10-1. 雑誌掲載論文 (Journal Articles)
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