A grassroots gaming simulation: The case of "crossroad"

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

The author introduces a game, "Crossroad", which was originally designed as a tabletop exercise to teach disaster preparedness (Kikkawa et al., 2004) and that has been used in an increasing number of fields. In this paper, the author describes the history of the expanding application of this game, focussing especially on the evolution of its rules and content as a result of input from ordinary people who have participated in the game. Through this process, it has become a kind of grassroots gaming simulation tool for the general public. Examination of the development of the game reveals that its simple rules and structure as a frame game have led to its increasing popularity. Indeed, the game is still evolving.

元の言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版者Springer Verlag
ページ148-152
ページ数5
8264 LNCS
ISBN(印刷物)9783319049533
DOI
出版物ステータスPublished - 2014
イベント44th International Simulation and Gaming Association Conference, ISAGA 2013 and 17th IFIP WG 5.7 Workshop on Experimental Interactive Learning in Industrial Management - Stockholm, Sweden
継続期間: 2013 6 242013 6 28

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8264 LNCS
ISSN(印刷物)03029743
ISSN(電子版)16113349

Other

Other44th International Simulation and Gaming Association Conference, ISAGA 2013 and 17th IFIP WG 5.7 Workshop on Experimental Interactive Learning in Industrial Management
Sweden
Stockholm
期間13/6/2413/6/28

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • これを引用

    Kikkawa, T. (2014). A grassroots gaming simulation: The case of "crossroad". : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (巻 8264 LNCS, pp. 148-152). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 8264 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-04954-0_18