Authoring Multi-Actor Behaviors in Crowds With Diverse Personalities

Loading...
Thumbnail Image
Penn collection
Center for Human Modeling and Simulation
Degree type
Discipline
Subject
Computer Sciences
Engineering
Graphics and Human Computer Interfaces
Social and Behavioral Sciences
Funder
Grant number
License
Copyright date
Distributor
Related resources
Author
Kapadia, Mubbasir
Durupinar, Funda
Contributor
Abstract

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.

Advisor
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Book title
11
Series name and number
Publication date
2013-01-01
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
Recommended citation
Collection