Individual and collective spatial representations in crowds and other social behaviors
This is a systematic and coordinated multidisciplinary effort using concepts from cognitive science, computational modeling, and mathematical analysis of collective behavior toward the study of the dynamics of human spatial behavior. The following primary goals are being pursued:
The research program will develop novel cognitive map-driven models that will include shared spatial knowledge derived from social interactions. The models will be used to improve simulations of individuals and crowds and provide a basis for mathematical analysis of collective spatial behavior dynamics. Model development and experimental validation will be iterative, informing each other. Validation and evaluation will be performed in multiple testbeds, including virtual reality, crowd simulations, and real museum environments. The museum scenario will be used as a unifying domain, chosen for direct relevance to key research challenges, richness of structure, and wide range of real-world behavior dynamics and applications.
We have a recent poster showing current project progress:
USC: Currently implementing method for calculating statistics for use of open space. Also, working on model for unwarping cameras in order to have better metrical information.
ISI: Exploring model behavior, in particular processing data from Tunnel Exhibit with unidirectional flow.
Brandeis: Constructing scenarios for experiments within improved VR museum. Video of current walk-through (8.4MB):
We are currently building computer models of the California Science Center.