Date of this Version
The International Series in Video Computing: Modeling, Simulation and Visual Analysis of Crowds
Multi-actor simulation is critical to cinematic content creation, disaster and security simulation, and interactive entertainment. A key challenge is providing an appropriate interface for authoring high-fidelity virtual actors with featurerich control mechanisms capable of complex interactions with the environment and other actors. In this chapter, we present work that addresses the problem of behavior authoring at three levels: Individual and group interactions are conducted in an event-centric manner using parameterized behavior trees, social crowd dynamics are captured using the OCEAN personality model, and a centralized automated planner is used to enforce global narrative constraints on the scale of the entire simulation. We demonstrate the benefits and limitations of each of these approaches and propose the need for a single unifying construct capable of authoring functional, purposeful, autonomous actors which conform to a global narrative in an interactive simulation.
The final publication is available at Springer via http://dx.doi.org/10.1007/978-1-4614-8483-7_7
Kapadia, M., Shoulson, A., Durupinar, F., & Badler, N. I. (2013). Authoring Multi-Actor Behaviors in Crowds With Diverse Personalities. The International Series in Video Computing: Modeling, Simulation and Visual Analysis of Crowds, 11 147-180. http://dx.doi.org/10.1007/978-1-4614-8483-7_7
Date Posted: 13 January 2016
This document has been peer reviewed.