Controlling individual agents in high-density crowd simulation
SCA '07 Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation
Variety Is the Spice of (Virtual) Life
MIG '09 Proceedings of the 2nd International Workshop on Motion in Games
Seeing is believing: body motion dominates in multisensory conversations
ACM SIGGRAPH 2010 papers
Simulating believable crowd and group behaviors
ACM SIGGRAPH ASIA 2010 Courses
Toward a Myers-Briggs type indicator model of agent behavior in multiagent teams
MABS'10 Proceedings of the 11th international conference on Multi-agent-based simulation
Real-time control of individual agents for crowd simulation
Multimedia Tools and Applications
Simulating heterogeneous crowd behaviors using personality trait theory
SCA '11 Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Evoking panic in crowd simulation
Transactions on edutainment VI
A statistical similarity measure for aggregate crowd dynamics
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Generation and use of sparse navigation graphs for microscopic pedestrian simulation models
Advanced Engineering Informatics
Using emotion transmission to simulate spectator behaviors
Proceedings of the 11th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry
A Framework for Modeling Social Groups in Agent-Based Pedestrian Crowd Simulations
International Journal of Agent Technologies and Systems
The impact of culture on crowd dynamics: an empirical approach
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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Most current crowd simulators animate homogeneous crowds, but include underlying parameters that can be tuned to create variations within the crowd. These parameters, however, are specific to the crowd models and may be difficult for an animator or naïve user to use. We propose mapping these parameters to personality traits. In this paper, we extend the HiDAC (High-Density Autonomous Crowds) system by providing each agent with a personality model in order to examine how the emergent behavior of the crowd is affected. We use the OCEAN personality model as a basis for agent psychology. To each personality trait we associate nominal behaviors; thus, specifying personality for an agent leads to an automation of the low-level parameter tuning process. We describe a plausible mapping from personality traits to existing behavior types and analyze the overall emergent crowd behaviors.