Virtual Humans: A New Toolkit for Cognitive Science Research

Abstract

Virtual humans (VHs) are digital anthropomorphic characters that exist within virtual worlds but are designed to perceive, understand and interact with real-world humans. Although typically conceived as practical tools to assist in a range of application (e.g., HCI, training and entertainment), the technology is gaining interest as a methodological tool for studying human cognition. VHs not only simulate the cognitive abilities of people, but also many of the embodied and social aspects of human behavior more traditionally studied in fields outside of cognitive science. By integrating multiple cognitive capabilities (e.g., language, gesture, emotion, and the control problems associated with navigating and interacting with a simulated virtual world) and requiring these processes to support real-time interactions with people, VHs create a unique and challenging environment within which to develop and validate cognitive theories. In this tutorial, we will review recent advances in VH technologies, demonstrate examples of use of VHs in cognitive science research and provide hands on training using our Virtual Human Toolkit

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2013
Accession Number
AD1171589

Entities

People

  • Arno Hartholt
  • Jonathan Gratch
  • Morteza Dehghani
  • Stacy C. Marsella

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automated Speech Recognition
  • Cognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Education
  • Human Behavior
  • Human-Computer Interaction
  • Industrial Engineering
  • Intelligent Systems
  • Language
  • Machine Perception
  • Multiagent Systems
  • Natural Language Processing
  • Personality
  • Psychology
  • Simulations
  • Social Psychology
  • Training
  • Virtual Reality

Fields of Study

  • Computer science

Readers

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