TY - GEN
T1 - Interactive simulation of dynamic crowd behaviors using general adaptation syndrome theory
AU - Kim, Sujeong
AU - Guy, Stephen J.
AU - Manocha, Dinesh
AU - Lin, Ming C.
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - crowd simulation
KW - dynamic behaviors
KW - psychological models
UR - http://www.scopus.com/inward/record.url?scp=84859827310&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84859827310&partnerID=8YFLogxK
U2 - 10.1145/2159616.2159626
DO - 10.1145/2159616.2159626
M3 - Conference contribution
AN - SCOPUS:84859827310
SN - 9781450311946
T3 - Proceedings - I3D 2012: ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
SP - 55
EP - 62
BT - Proceedings - I3D 2012
T2 - 2012 16th ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, I3D 2012
Y2 - 9 March 2012 through 11 March 2012
ER -