Abstract
Game refinement is a unique theory that has been used as a 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 the most 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.
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Panumate, C., Xiong, S., Iida, H., Kondo, T. (2015). Evolutionary Changes of Pokemon Game: A Case Study with Focus On Catching Pokemon. In: Chorianopoulos, K., Divitini, M., Baalsrud Hauge, J., Jaccheri, L., Malaka, R. (eds) Entertainment Computing - ICEC 2015. ICEC 2015. Lecture Notes in Computer Science(), vol 9353. Springer, Cham. https://doi.org/10.1007/978-3-319-24589-8_14
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DOI: https://doi.org/10.1007/978-3-319-24589-8_14
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