A Crowd Modeling Framework for Socially Plausible Animation Behaviors Conference Paper

abstract

• This paper presents a framework for crowd modeling that produces socially plausible animation behaviors. Our high-level behavioral model is able to produce appropriate animated behavior that includes synchronized body-orientation and gesture of individual actors within the simulation. Because the model operationalizes a well-founded social-linguistic Common Ground (CG) theory of human interaction, the behavior chains form meaningful interactions among the actors. The model includes micro-behaviors relating to CG theory, and macro-behavior relating to the animation context. This allows reuse of the micro-behaviors as animation contexts change and flexible adaptation to different animation contexts. 2012 Springer-Verlag Berlin Heidelberg.

authors

• Quek, Francis

published proceedings

• Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

author list (cited authors)

• Park, S. I., Peng, C., Quek, F., & Cao, Y.

citation count

• 2

complete list of authors

• Park, Seung In||Peng, Chao||Quek, Francis||Cao, Yong

publication date

• November 2012

publisher

• Springer Nature  Publisher

published in

• Lecture Notes in Artificial Intelligence  Journal

keywords

• 46 Information And Computing Sciences
• 4607 Graphics, Augmented Reality And Games
• Behavioral And Social Science
• Mental Health

Digital Object Identifier (DOI)

• 10.1007/978-3-642-34710-8_14

International Standard Book Number (ISBN) 13

• 9783642347092

start page

• 146

end page

• 157

volume

• 7660

URL

• http://dx.doi.org/10.1007/978-3-642-34710-8_14