Creating crowd variation with the OCEAN personality model

Date
2008-05
Advisor
Instructor
Source Title
Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Print ISSN
Electronic ISSN
Publisher
IFAAMAS
Volume
Issue
Pages
1217 - 1220
Language
English
Type
Conference Paper
Journal Title
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Volume Title
Abstract

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 naive 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. Copyright © 2008, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.

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Keywords
Autonomous agents, Crowd simulation, OCEAN personality model, Animation, Autonomous agents, Computer simulation, Multi agent systems, Crowd behavior, Crowd models, Crowd Simulation, Emergent behaviors, Parameter-tuning, Personality modeling, Personality traits, Behavioral research
Citation
Published Version (Please cite this version)