Reflective tutoring for immersive simulation

Authors:
H. Chad Lane;Mark Core;Dave Gomboc;Steve Solomon;Michael van Lent;Milton Rosenberg
Affiliations:
Institute for Creative Technologies, University of Southern California, Marina del Rey, CA;Institute for Creative Technologies, University of Southern California, Marina del Rey, CA;Institute for Creative Technologies, University of Southern California, Marina del Rey, CA;Institute for Creative Technologies, University of Southern California, Marina del Rey, CA;Institute for Creative Technologies, University of Southern California, Marina del Rey, CA;Institute for Creative Technologies, University of Southern California, Marina del Rey, CA
Venue:
ITS'06 Proceedings of the 8th international conference on Intelligent Tutoring Systems
Year:
2006

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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.