Reflective Tutoring for Immersive Simulation

Abstract

Reflection is critically important for time-constrained training simulations that do not permit extensive tutor-student interactions during an exercise. Here, we describe a reflective tutoring system for a virtual human simulation of negotiation. The tutor helps students review their exercise, elicits where and how they could have done better, and uses explainable artificial intelligence (XAI) to allow students the chance to ask questions about the virtual human's behavior.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA459150

Entities

People

  • Dave Gomboc
  • H. Clifford Lane
  • Mark Core
  • Michael Van Lent
  • Milton Rosenberg
  • Steve Solomon

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Education
  • Flight Training
  • Information Operations
  • Instructors
  • Intelligent Systems
  • Language
  • Military Research
  • Natural Languages
  • Negotiations
  • Reflection
  • Simulations
  • Students
  • Training

Readers

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

Technology Areas

  • AI & ML