Simulating heterogeneous crowd behaviors using personality trait theory

  • Guy S
  • Kim S
  • Lin M
 et al. 
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Abstract

We present a new technique to generate heterogeneous crowd behaviors using personality trait theory. Our formulation is based on adopting results of a user study to derive a mapping from crowd simulation parameters to the perceived behaviors of agents in computer-generated crowd simulations. We also derive a linear mapping between simulation parameters and personality descriptors corresponding to the well-established Eysenck Threefactor personality model. Furthermore, we propose a novel two-dimensional factorization of perceived personality in crowds based on a statistical analysis of the user study results. Finally, we demonstrate that our mappings and factorizations can be used to generate heterogeneous crowd behaviors in different settings.

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Authors

  • Stephen J. Guy

  • Sujeong Kim

  • Ming C. Lin

  • Dinesh Manocha

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