Nonverbal Behavior Generator for Embodied Conversational Agents

Abstract

Believable nonverbal behaviors for embodied conversational agents (ECA) can create a more immersive experience for users and improve the effectiveness of communication. This paper describes a nonverbal behavior generator that analyzes the syntactic and semantic structure of the surface text as well as the affective state of the ECA and annotates the surface text with appropriate nonverbal behaviors. A number of video clips of people conversing were analyzed to extract the nonverbal behavior generation rules. The system works in real time and is user extensible so that users can easily modify or extend the current behavior generation rules.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA459134

Entities

People

  • Jina Lee
  • Stacey Marsella

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • California
  • Computer Programming
  • Computers
  • Contrast
  • Data Analysis
  • Demographic Cohorts
  • Generators
  • Human-Machine Interaction
  • Information Science
  • Language
  • Markup Languages
  • Natural Language Parsers
  • Natural Languages
  • Personality
  • Standards
  • Video
  • Video Clips

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Linguistics