Creating crowd variation with the OCEAN personality model

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.
• 2: McLean, K. C., & Pasupathi, M. Collaborative Narration of the Past and Extraversion. Journal of Research in Personality, 40. 1219--1231, 2006.
• 3: N. Pelechano , J. M. Allbeck , N. I. Badler, Controlling individual agents in high-density crowd simulation, Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation, August 02-04, 2007, San Diego, California
• 4: Wiggins, J. S. The Five-Factor Model of Personality: Theoretical Perspectives. The Guilford Press, New York, 1996.

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.3 COMPUTER GRAPHICS
      I.3.7 Three-Dimensional Graphics and Realism
          Subjects: Animation

Additional Classification:
  I. Computing Methodologies
  I.6 SIMULATION AND MODELING
      I.6.8 Types of Simulation
          Subjects: Animation

General Terms:
Design, Experimentation, Human Factors

Keywords:
OCEAN personality model, autonomous agents, crowd simulation