Virtual Rapport 2.0

Abstract

Rapport, the feeling of being "in sync" with your conversational partners, is argued to underlie many desirable social effects. By generating proper verbal and nonverbal behaviors, virtual humans have been seen to create rapport during interactions with human users. In this paper, we introduce our approach to creating rapport following Tickle-Degnen and Rosenbergs three factor (positivity, mutual attention and coordination) theory of rapport. By comparing with a previously published virtual agent, the Rapport Agent, we show that our virtual human predicts the timing of backchannel feedback and end-of-turn more precisely, performs more natural behaviors and, thereby creates much stronger feelings of rapport between users and virtual agents.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2011
Accession Number
AD1160292

Entities

People

  • Jonathan Gratch
  • Lixing Huang
  • Louis-Philippe Morency

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Autonomous Agents
  • Bayesian Networks
  • Computer Science
  • Computers
  • Data Analysis
  • Data Sets
  • Demographic Cohorts
  • Detectors
  • Human Behavior
  • Language
  • Machine Learning
  • Models
  • Multiagent Systems
  • Psychology
  • Signal Processing
  • Social Psychology
  • Social Sciences

Readers

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