抄録
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.
14th International Conference, ICEC 2015, Trondheim, Norway, September 29 – October 2, 2015, Proceedings
identifier:https://dspace.jaist.ac.jp/dspace/handle/10119/13800
収録刊行物
-
- Lecture Notes in Computer Science
-
Lecture Notes in Computer Science 9353 182-194, 2015-12-01
Springer
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1050282812515210496
-
- NII論文ID
- 120005890338
-
- ISSN
- 03029743
-
- 本文言語コード
- en
-
- 資料種別
- journal article
-
- データソース種別
-
- IRDB
- CiNii Articles