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Creating crowd variation with the OCEAN personality model

Published:12 May 2008Publication History

ABSTRACT

Most current crowd simulators animate homogeneous crowds, but include underlying parameters that can be tuned to create variations within the crowd. These parameters, however, are specific to the crowd models and may be difficult for an animator or naïve user to use. We propose mapping these parameters to personality traits. In this paper, we extend the HiDAC (High-Density Autonomous Crowds) system by providing each agent with a personality model in order to examine how the emergent behavior of the crowd is affected. We use the OCEAN personality model as a basis for agent psychology. To each personality trait we associate nominal behaviors; thus, specifying personality for an agent leads to an automation of the low-level parameter tuning process. We describe a plausible mapping from personality traits to existing behavior types and analyze the overall emergent crowd behaviors.

References

  1. Goldberg, L. R. An Alternative "Description of Personality": The Big-Five Factor Structure. Journal of Personality and Social Psychology, 59 (6). 1216--1229, 1990.Google ScholarGoogle ScholarCross RefCross Ref
  2. McLean, K. C., & Pasupathi, M. Collaborative Narration of the Past and Extraversion. Journal of Research in Personality, 40. 1219--1231, 2006.Google ScholarGoogle Scholar
  3. Pelechano, N., Allbeck, J. M. and Badler, N. I. Controlling Individual Agents in High-Density Crowd Simulation ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA), ACM Press, San Diego, CA, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Wiggins, J. S. The Five-Factor Model of Personality: Theoretical Perspectives. The Guilford Press, New York, 1996.Google ScholarGoogle Scholar

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      • Published in

        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

        Publisher

        International Foundation for Autonomous Agents and Multiagent Systems

        Richland, SC

        Publication History

        • Published: 12 May 2008

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        Overall Acceptance Rate1,155of5,036submissions,23%

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