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Designing human-computer multi-agent collaboration in productive multi-player games

Published: 12 May 2008 Publication History

Abstract

This research explores productive multi-player games as a platform for human-computer agent collaboration. A multiagent perspective is taken to examine the principles of both gameplay and mechanism design for productive games. To engage human players in sustained gameplay, the game agents are designed with the flow and dramatic principles. To ensure productivity, the game mechanism is designed such that rational agents, both human and software, will follow the target strategy to reach subgame perfect equilibrium. The design principles are demonstrated and evaluated using PhotoSlap, a multi-player productive game for photo annotation.

References

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M. Csikszentmihalyi. Flow: The Psychology of Optimal Experience. Harper and Row, New York, 1990.
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T. Fullerton, C. Swain, and S. Hoffman. Game Design Workshop: Designing, Prototyping, and Playtesting Games, chapter 4. CMP Books, 2004.
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C.-J. Ho. Strategy analysis in human algorithm: A game theoretic approach. Master's thesis, National Taiwan University, June 2007.
[4]
C.-J. Ho, T.-H. Chang, and J. Y.-j. Hsu. Photoslap: A multi-player online game for semantic annotation. In Twenty-Second Conference on Artificial Intelligence (AAAI-07), Vancouver, July 2007. AAAI Press.
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M. J. Osborne and A. Rubinstein. A course in game theory. The MIT Press, Cambridge, Massachusetts, 1994.
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D. C. Parkes. Iterative Combinatorial Auctions: Achieving Economic and Computational Efficiency. PhD thesis, University of Pennsylvania, May 2001.
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A. Rollings and E. Adams. Andrew Rollings and Ernest Adams on Game Design. New Riders Games, 2003.
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P. Sinha, B. Balas, Y. Ostrovsky, and R. Russell. Face recognition by humans: Nineteen results all computer vision researchers should know about. Proceedings of the IEEE, 94(11):1948--1962, November 2006.
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L. von Ahn and L. Dabbish. Labeling images with a computer game. In CHI '04: Proceedings of the SIGCHI conference on Human factors in computing systems, pages 319--326. ACM Press, 2004.
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L. von Ahn, R. Liu, and M. Blum. Peekaboom: a game for locating objects in images. In CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems, pages 55--64. ACM Press, 2006.

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  1. Designing human-computer multi-agent collaboration in productive multi-player games

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    cover image ACM Conferences
    AAMAS '08: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
    May 2008
    503 pages
    ISBN:9780981738123

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    International Foundation for Autonomous Agents and Multiagent Systems

    Richland, SC

    Publication History

    Published: 12 May 2008

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    Author Tags

    1. agent collaboration
    2. game
    3. gameplay
    4. productive game
    5. strategy analysis

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