Integrating cumulative context into computer games

  • Authors:
  • Kevin G. Stanley;David Pinelle;Alan Bandurka;David McDine;Regan L. Mandryk

  • Affiliations:
  • University of Saskatchewan, Saskatoon, SK, Canada;University of Nevada, Las Vegas, NV;University of Saskatchewan, Saskatoon, SK, Canada;University of Saskatchewan, Saskatoon, SK, Canada;University of Saskatchewan, Saskatoon, SK, Canada

  • Venue:
  • Future Play '08 Proceedings of the 2008 Conference on Future Play: Research, Play, Share
  • Year:
  • 2008

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Abstract

In this paper, we describe a cumulative context computer game, where accumulated contextual information of the players' activity levels, obtained through mobile sensors, is used to modify game state. Our implementation used a statistic-based, real-time version of the classic game of chess, where the statistics of the pieces depended on the activity of the users and the environment in which they performed the activity. Users found the game engaging and fun, and almost all of the participants altered their behaviors to enhance their performance in the game. This work provides a platform for further research into meaningful integration of cumulative context in games.