Simulating heterogeneous crowd behaviors using personality trait theory

  • Authors:
  • Stephen J. Guy;Sujeong Kim;Ming C. Lin;Dinesh Manocha

  • Affiliations:
  • UNC - Chapel Hill;UNC - Chapel Hill;UNC - Chapel Hill;UNC - Chapel Hill

  • Venue:
  • SCA '11 Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

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 Three-factor 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.