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Embedded Training for Complex Information Systems

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1452)

Abstract

One solution to providing affordable operator training in the workplace is to augment applications with intelligent embedded training systems. Intelligent embedded training is highly interactive: trainees practice problem-solving tasks on the prime application with guidance and feedback from the training system. We group the necessary assistance mechanisms into three layers: (1) an application interface layer, (2) an action interpretation layer, and (3) a training services layer. We discuss these layers, their interactions, and our prototype implementation of each one.

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References

  1. 1.
    G. D. Abowd and R. Beale. Users, systems and interfaces: A unifying framework for interaction. In D. Diaper and N. Hammond, editors, HCI’91: People and Computers VI, Cambridge University Press, Cambridge, 1991, pages 73–87.Google Scholar
  2. 2.
    B. Chandrasekaran. Towards a Taxonomy of Problem Solving Types. AI Magazine, 4(1): 1983, pp. 9–17.Google Scholar
  3. 3.
    B. Chandrasekaran and T. R. Johnson. Generic Tasks And Task Structures: History, Critique and New Directions. In J. M. David, J. P. Krivine, and R. Simmons, editors, Second Generation Expert Systems, Springer-Verlag, 1993, pp. 239–280.Google Scholar
  4. 4.
    A. Dix, J. Finlay, G. Abowd and R. Beale. Human-Computer Interaction. Prentice Hall, New York, 1993.zbMATHGoogle Scholar
  5. 5.
    M. R. Genesereth. The role of plans in automated consultation. In Proceedings of the 6th International Joint Conference on Artificial Intelligence, pp. 311–319. Tokyo, August 1979.Google Scholar
  6. 6.
    S. Giroux, G. Paquette, F. Pachet and J. Girard. EpiTalk—A Platform for Epiphyte Advisor Systems Dedicated to Both Individual and Collaborative Learning. In C. Frasson, G. Gauthier, and A. Lesgold, editors, Intelligent Tutoring Systems—Third International Conference, pp. 363–371. Montreal, June 1996.Google Scholar
  7. 7.
    M. Lentini, D. Nardi and A. Simonetta. Automatic Generation of Tutors for Spreadsheet Applications. In Proceedings of AI-ED 95—World Conference on Artificial Intelligence in Education, pp. 91–98. Washington DC, August 1995.Google Scholar
  8. 8.
  9. 9.
    E. D. Mynatt and W. K. Edwards. The Mercator Environment: A Nonvisual Interface to the X Window System. Technical Report GIT-GVU-92-05, Georgia Institute of Technology, February, 1992.Google Scholar
  10. 10.
    D. A. Norman. The Psychology of Everyday Things. Basic Books, 1988.Google Scholar
  11. 11.
    P1484 Home Page. See http://www.manta.ieee.org/P1484.
  12. 12.
    S. Ritter and K. R. Koedinger. Towards Lightweight Tutoring Agents. In Proceedings of AI-ED 95—World Conference on Artificial Intelligence in Education, pp. 91–98. Washington DC, August 1995.Google Scholar
  13. 13.
    W. Regian, R. Seidel, J. Schuler, and P. Radtke. Functional Area Analysis of Intelligent Computer-Assisted Instruction. Training and Personnel Systems Science and Technology Evaluation and Management Committee, 1996. See http://www.brooks.af.mil/AL/HR/ICAI/litlfaa.htm.

Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  1. 1.The MITRE CorporationBedfordUSA

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