Interactive simulation of dynamic crowd behaviors using general adaptation syndrome theory

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

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

55 Scopus citations

Abstract

We propose a new technique to simulate dynamic patterns of crowd behaviors using stress modeling. Our model accounts for permanent, stable disposition and the dynamic nature of human behaviors that change in response to the situation. The resulting approach accounts for changes in behavior in response to external stressors based on well-known theories in psychology. We combine this model with recent techniques on personality modeling for multi-agent simulations to capture a wide variety of behavioral changes and stressors. The overall formulation allows different stressors, expressed as functions of space and time, including time pressure, positional stressors, area stressors and inter-personal stressors. This model can be used to simulate dynamic crowd behaviors at interactive rates, including walking at variable speeds, breaking lane-formation over time, and cutting through a normal flow. We also perform qualitative and quantitative comparisons between our simulation results and real-world observations.

Original languageEnglish (US)
Title of host publicationProceedings - I3D 2012
Subtitle of host publicationACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
Pages55-62
Number of pages8
DOIs
StatePublished - Apr 23 2012
Event2012 16th ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, I3D 2012 - Costa Mesa, CA, United States
Duration: Mar 9 2012Mar 11 2012

Publication series

NameProceedings - I3D 2012: ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games

Other

Other2012 16th ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, I3D 2012
CountryUnited States
CityCosta Mesa, CA
Period3/9/123/11/12

Keywords

  • crowd simulation
  • dynamic behaviors
  • psychological models

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