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  • 标题:A Study on Estimating the Elements of Card Game Fun Using Biological Information
  • 本地全文:下载
  • 作者:Yuki Takaoka ; Takashi Kawakami ; Ryosuke Ooe
  • 期刊名称:Journal of Computer and Communications
  • 印刷版ISSN:2327-5219
  • 电子版ISSN:2327-5227
  • 出版年度:2019
  • 卷号:7
  • 期号:12
  • 页码:129-135
  • DOI:10.4236/jcc.2019.712012
  • 出版社:Scientific Research Publishing
  • 摘要:In this study, we conduct research to estimate the elements of fun in card games. Previously, we tried to estimate the elements of fun by conducting a questionnaire to players, but the results were not good. Therefore, we propose an analysis using the player’s biological information to make a more accurate estimation. Specifically, we try to elucidate the elements of fun by having a player who is playing a game wear a smart watch, and measuring and analyzing the heart rate of that player. This paper conducts an experiment to determine whether our intended data can be collected. As a result, it was found that there is a response to the heart rate in a specific scene, and there is a possibility that the intended data can be collected. We plan to conduct larger experiments in the future.
  • 关键词:Definition of Fun;Biological Information;Game AI
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