Simulating heterogeneous crowd behaviors using personality trait theory

Stephen J. Guy, Sujeong Kim, Ming C. Lin, Dinesh Manocha

Research output: Chapter in Book/Report/Conference proceedingConference contribution

122 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings - SCA 2011
Subtitle of host publicationACM SIGGRAPH / Eurographics Symposium on Computer Animation
Pages43-52
Number of pages10
DOIs
StatePublished - Sep 14 2011
Event10th Annual ACM SIGGRAPH / Eurographics Symposium on Computer Animation, SCA 2011 - Vancouver, BC, Canada
Duration: Aug 5 2011Aug 7 2011

Publication series

NameProceedings - SCA 2011: ACM SIGGRAPH / Eurographics Symposium on Computer Animation

Other

Other10th Annual ACM SIGGRAPH / Eurographics Symposium on Computer Animation, SCA 2011
Country/TerritoryCanada
CityVancouver, BC
Period8/5/118/7/11

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