Toward a New Generation of Virtual Humans for Interactive Experiences

Abstract

Interactive virtual worlds provide a powerful medium for entertainment and experiential learning. Army lieutenants can gain valuable experience in decision-making in scenarios like the example above. Others can use the same technology for entertaining role-playing even if they never have to face such situations in real life. Similarly, students can learn about, say, ancient Greece by walking through its virtual streets, visiting its buildings, and interacting with its people. Scientists and science fiction fans alike can experience life in a colony on Mars long before the required infrastructure is in place. The range of worlds that people can explore and experience with virtual-world technology is unlimited, ranging from factual to fantasy and set in the past, present, or future. Our goal is to enrich such worlds with virtual humans autonomous agents that support face-to-face interaction with people in these environments in a variety of roles, such as the sergeant, medic, or even distraught mother. Existing virtual worlds, such as military simulations and computer games, often incorporate virtual humans with varying degrees of intelligence. However, these characters ability to interact with human users is usually very limited: Typically, users can shoot at them and they can shoot back. Those characters that support more collegial interactions, such as in children's educational software, are usually very scripted and offer human users no ability to carry on a dialogue. In contrast, we envision virtual humans that cohabit virtual worlds with people and support face-to-face dialogues situated in those worlds, serving as guides, mentors, and teammates. Although our goals are ambitious, we argue here that many key building blocks are already in place.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2002
Accession Number
ADA459229

Entities

People

  • David R Traum
  • Jeff Rickel
  • Jonathan Gratch
  • Randall Hill
  • Stacy C. Marsella
  • William Swartout

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Autonomous Agents
  • Cognitive Science
  • Computer Science
  • Computers
  • Demographic Cohorts
  • Information Science
  • Intelligent Systems
  • Language
  • Linguistics
  • Motion Capture
  • Multiagent Systems
  • Natural Languages
  • New York
  • Personality
  • Psychology
  • Training

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Educational Psychology
  • STEM Education