Simulating heterogeneous crowd behaviors using personality trait theory
SCA '11 Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Interactive simulation of dynamic crowd behaviors using general adaptation syndrome theory
I3D '12 Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
MIG'11 Proceedings of the 4th international conference on Motion in Games
Crowd distribution and location preference
Computer Animation and Virtual Worlds
Velocity-based modeling of physical interactions in multi-agent simulations
Proceedings of the 12th ACM SIGGRAPH/Eurographics Symposium on Computer Animation
The Visual Computer: International Journal of Computer Graphics
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Most crowd simulators animate homogeneous crowds but include underlying parameters that users can tune to create variations in the crowd. However, these parameters are specific to the crowd models and might be difficult for animators or naïve users to use. A proposed approach maps these parameters to personality traits. It extends the HiDAC (High-Density Autonomous Crowds) system by providing each agent with a personality model based on the Ocean (openness, conscientiousness, extroversion, agreeableness, and neuroticism) personality model. Each trait has an associated nominal behavior. Specifying an agent's personality leads to automation of low-level parameter tuning. User studies validated the mapping by assessing users' perception of the traits in animations that illustrate such behaviors.