Maxim Schwartz
ABSTRACT
This paper describes a component of the Virtual Training Studio called the Virtual Mentor, which is responsible for interacting with the trainees in the virtual environment and proactively monitoring their progress. The Virtual Mentor is a component that is embedded in the Virtual Workspace. Some of the tasks it performs are driving the interactive simulation code generated by the Virtual Author, executing user testing, logging user actions in the virtual environment, detecting errors and providing detailed messages and hints, and assisting the instructor in tailoring the generated training material to increase training effectiveness. This paper presents some of the technical challenges and solutions as well as the rationale behind the Virtual Mentor design.
- J. E. Brough, M. Schwartz, S. K. Gupta, D. K. Anand, R. Kavetsky, and R. Pettersen, "Towards Development of a Virtual Environment-Based Training System for Mechanical Assembly Operations," Accepted for publication in Virtual Reality. Google Scholar
Digital Library
- M. Schwartz, S. K. Gupta, D. K. Anand, J. E. Brough, and R. Kavetsky, "Using Virtual Demonstrations for Creating Multi-Media Training Instructions," CAD Conference, Hawaii, June 2007.Google Scholar
- R. W. Chu, C. M. Mitchell, and P. M. Jones, "Using The Operator Function Model And Ofmspert As The Basis For An Intelligent Tutoring System: Towards A Tutor/Aid Paradigm For Operators Of Supervisory Control Systems," IEEE Transactions on Systems Man and Cybernetics, 25(7):1054--1075, July 1995.Google ScholarCross Ref
- J. Rickel and W. L. Johnson, "Animated Agents for Procedural Training in Virtual Reality: Perception, Cognition and Motor Control," Applied Artificial Intelligence, 13 (4--5): 343--382, June-August 1999.Google ScholarCross Ref
- N. Abe, J. Y. Zhang, K. Tanaka, and H. Taki., A Training System Using Virtual Machines For Teaching Assembling/Disassembling Operations To Novices," Proceedings of IEEE International Conference on Systems Man and Cybernetics, pp 2096--2101, 1996.Google Scholar
- K. N. Martin and I. Arroyo, "AgentX: Using Reinforcement Learning to Improve the Effectiveness of Intelligent Tutoring Systems," Lecture Notes in Computer Science, 3220: 564--572, 2004.Google ScholarCross Ref
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