Center for Human Modeling and Simulation

Document Type

Journal Article

Date of this Version

2-2012

Publication Source

Computer Animation and Virtual Worlds

Volume

23

Issue

1

Start Page

17

Last Page

32

DOI

10.1002/cav.1421

Abstract

Conversations between two people are ubiquitous in many inhabited contexts. The kinds of conversations that occur depend on several factors, including the time, the location of the participating agents, the spatial relationship between the agents, and the type of conversation in which they are engaged. The statistical distribution of dyadic conversations among a population of agents will therefore depend on these factors. In addition, the conversation types, flow, and duration will depend on agent attributes such as interpersonal relationships, emotional state, personal priorities, and socio-cultural proxemics. We present a framework for distributing conversations among virtual embodied agents in a real-time simulation. To avoid generating actual language dialogues, we express variations in the conversational flow by using behavior trees implementing a set of conversation archetypes. The flow of these behavior trees depends in part on the agents’ attributes and progresses based on parametrically estimated transitional probabilities. With the participating agents’ state, a ‘smart event’ model steers the interchange to different possible outcomes as it executes. Example behavior trees are developed for two conversation archetypes: buyer–seller negotiations and simple asking–answering; the model can be readily extended to others. Because the conversation archetype is known to participating agents, they can animate their gestures appropriate to their conversational state. The resulting animated conversations demonstrate reasonable variety and variability within the environmental context. Copyright © 2012 John Wiley & Sons, Ltd.

Copyright/Permission Statement

This is the peer reviewed version of the article which has been published in final form at http://dx.doi.org/10.1002/cav.1421. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

Keywords

conversation model, agent attributes, smart event, behavior trees, crowd simulation

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Date Posted: 29 February 2016

This document has been peer reviewed.