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Human-systems interaction for virtual environment team training

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Abstract

Virtual environments are increasingly used to support collaborative activities and distance learning. However, few are designed to support students, instructors and simulations in multi-participant team training. This paper describes the Training Studio, a system for authoring, delivering and evaluating multi-participant team training in an immersed virtual environment. The Training Studio focuses on human-systems interaction, allowing multiple students to learn and perform team tasks. The Training Studio supports collaborative learning for either single or multi-participant activity. This is accomplished through the use of agents which are assigned to students to act as personal mentors or missing team members. Conducting team training within a virtual environment introduces complexities and issues unique to team training and multiple-participant virtual environments. This paper describes our approach to virtual environment team training, discussing issues confronted and resulting design considerations and implementations.

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References

  1. Grant F, McCarthy L, Pontecorvo M, Stiles R. Training in virtual environments. In: Proceedings of Conference on Intelligent Computer-Aided Training, NASA Johnson Space Center, Houston, Tex., 1991. http://technology.jsc.nasa.gov/success/icat.htm

  2. Laird JE, Newell A, Rosenbloom PS. Soar: an architecture for general intelligence. Artificial Intelligence 1987; 33(1):1–64

    Article  Google Scholar 

  3. Dewey J. Fundamentals of educational process. intelligence in the modern world: John Dewey's philosophy. Ratner J ed. Random House New York, 1939

  4. Dillenbourg P, Baker M, Blaye A, O'Malley C. The evolution of research on collaborative learning. 1994. http://tecfa.unige.ch/tecfa-research/lhm/ESF-Chap5.text

  5. Collins A, Seely Brown J, Newman S. Cognitive apprenticeship: teaching the crafts of reading, writing, and mathematics. In: Knowing, learning, and instruction: essays in honor of Robert Glaser. Resnick LB ed.: Lawrence Erlbaum Associates, Hillsdale, N.J., 1989

  6. Berryman S. Designing effective learning environments: cognitive apprenticeship models. Institute on Education and the Economy, Bl-1, September 1991

  7. Burns J, Salas E, Cannon-Bowers JA. Team training, mental models, and the team model trainer. In: Proceedings of Advancement in Integrated Delivery Technologies, Denver, Colo., 1993. http://www.ntsc.navy.mil/code4/496/bibliography/newtt_bib_1_decis.htm

  8. Munro A, Johnson M, Surmon D, Wogulis J. Attribute-centered simulation authoring for instruction. In: Proceedings of the World Conference on Artificial Intelligence in Education, IOS Press. 1993; 82–89

  9. Johnson WL, Rickel J, Stiles R, Munro A. Integrating pedagogical agents into virtual environments. Presence 1998; Presence: Teleoperators and Virtual Environments 7(6): 523–546, Dec 1998

    Google Scholar 

  10. Rickel J, Johnson WL. Animated agents for procedural training in virtual reality: perception, cognition, and motor control. Applied Artificial Intelligence 1999; 13:343–382

    Google Scholar 

  11. International Standards Organization, 1996. Virtual reality modeling language 2.0 specification, (ISO/IEC DIS14772-1:1997). http://www.web3d.org/fsspecifications.htm

  12. Stiles R, Tewari S, Mehta M. Adapting VRML 2.0 for immersive use. In: Proceedings of the VRML '97 Second Symposium on the Virtual Reality Modeling Language, Monterey, Calif., 1997

  13. Stiles R, Tewari S, Mehta M, McCarthy L. Adapting VRML for free-form immersed manipulation. Proceedings of the VRML '98 Third Symposium on the Virtual Reality Modeling Language, Monterey, Calif., ACM press. 1998

  14. Cassell J, Pelachaud C, Badler N, Steedman M, Achorn B, Becket T, Douville B, Prevost S, Stone M. Animated conversation: rule-based generation of facial expression, gesture and spoken intonation for multiple conversational agents. In: Proceedings of ACM SIGGRAPH '94, 1994

  15. Duncan S Jr, Fiske D. Face-to-face interaction: research, methods, and theory. Lawrence Erlbaum Associates, Hillsdale, N.J., 1977

    Google Scholar 

  16. Badler N, Phillips C, Webber B. Simulated agents and virtual humans. Oxford University Press, Oxford, 1993

    Google Scholar 

  17. Gibbs G, Skinner C, Teal A. CoMentor: A collaborative learning environment on the WWW for philosophy and social theory students. In: Proceedings of International Conference on Internet Research and Information for Social Scientists, Bristol, U.K., 1998

  18. Mateas M, Lewis S. A MOO-based virtual training environment. Journal of Computer-Mediated Communication 1996; 2:3 [online]

    Google Scholar 

  19. André E, Rist T. Coping with temporal constraints in multimedia presentation planning. In: Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96), AAAI Press, Menlo Park, Calif. and MIT Press, Cambridge, Mass., 1996; 142–147

    Google Scholar 

  20. André E, Mueller J, Rist T. Life-like presentation agents: a new perspective for computer-based technical documentation. In: Proceedings of the Al-ED Workshop on Pedagogical Agents, Kobe, Japan. Rickel J,. Lester J eds. 1997; 1–8

  21. André E, Rist T, Mueller J. Webpersona: a lifelike presentation agent for the World-Wide Web. In: Proceedings of the IJCAI Workshop on Animated Interface Agents: Making Them Intelligent, Nagoya, Japan, 1997; 53–60

  22. Billinghurst M, Savage J. Adding intelligence to the interface. In: Proceedings of the IEEE Virtual Reality Annual International Symposium (VRAIS '96), Los Alamitos, California. IEEE Computer Society Press, Los Alamitos, Calif., 1996; 168–175

    Google Scholar 

  23. Stone BA, Lester JC. Dynamically sequencing an animated pedagogical agent. In: Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96), AAAI Press, Menlo Park, Calif. and MIT Press, Cambridge, Mass., 1996: 424–431

    Google Scholar 

  24. Lester JC, Voerman JL, Towns SG, Callaway CB. Cosmo: a life-like animated pedagogical agent with deictic believability. Proceedings of the IJCAI Work-shop on Animated Interface Agents: Making Them Intelligent, Nagoya, Japan, 1997; 61–69

  25. Angros R, Rickel J, Johnson WL. Agents that learn to instruct. In: Proceedings of AAAI 1997 Fall Symposium Series: Intelligent Tutoring Systems Authoring Tools, FS-97-01. AAAI Press, New York, 1997

    Google Scholar 

See also

  1. Rickel J, Lester J eds. Proceedings of the Al-ED Workshop on Pedagogical Agents, Japan, 1997

  2. Resnick M. Collaboration in simulated worlds: learning through and about collaboration. In: Proceedings of Spring ACM Conference on Computer-Supported Collaborative Learning, 1992

  3. Schank R, Abelson R. Scripts, plans, goals and understanding. Lawrence Erlbaum Associates, Hillsdale, N.J., 1977

    Google Scholar 

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Correspondence to L. McCarthy.

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McCarthy, L., Stiles, R., Johnson, W.L. et al. Human-systems interaction for virtual environment team training. Virtual Reality 4, 38–48 (1999). https://doi.org/10.1007/BF01434993

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