Abstract
The paper reports objectives and results of a research and development activity aimed at designing Intelligent Training Systems (ITS) in industrial environments. The Electrical Equipment Maintenance Training (EEMT) system focuses on recurrent training of technical personnel employed in maintenance of electrical devices, the target being to sensitize experienced technician to safety problems.
Trainees are offered an environment free from real electrical risks in which they can learn how to cope with practical maintenance problems: the model of the electrical equipment coupled with a simulation mechanism provides the physical system behaviour, the explicit representation of the correct maintenance procedures and of the safety regulations support the monitoring and the evaluation of trainee's actions as well as explanations. Adaptability to the trainee needs and preferences is achieved by offering different training strategies and methods, session planning taking into account individual training objectives, and different levels of explanations. Replanning is based on the misconceptions and lacks of knowledge recognized by the diagnosis of detected trainee errors using an implicit cognitive model of his reasoning process. The human computer interface offers a 3D-graphics representation of the working scenario and a highly ergonomic and interactive dialogue system basing on Artificial Reality paradigm.
The work has been undertaken within Esprit Project p2615 which is funded by the Commission of the European Community and by the Electricity Board of Italy.
We also wish to acknowledge D. Marini of Università degli Studi di Milano, and M. Casanova and F. Grasso of CISE for the contribution provided on the Artificial Reality design.
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Bertin, A., Buciol, F., Casanova, M., Mirandola, P., Nicolosi, E. (1990) Knowledge-based system techniques applied to training to sensitize personnel to safety problem, Proceedings BIAS 1990 — System Approach to Automation, Milano: ANIPLA.
Bloom, B.S. (1956) Taxonomy of Educational Objectives: Bookl. Cognitive Domain, New York: Longmans Green.
Clancey, W.J. (1985) Heuristic Classification, Artificial Intelligence 27, 289–350.
Cohen, P.R. et al. (1989) Synergistic Use of Direct Manipulation and Natural Language, Proceedings CHI 89.
Degli Antoni, G. (1990) Realtà Artificiale: una Silenziosa Rivoluzione Cognitiva, Internal Report n.81/90, Dipartimento di Scienze dell'Informazione, Università degli Studi di Milano.
Gallanti, M., Gilardoni, L., Klausen, B., Levin, M., Malaureille, P., Routin, J., Stefanini, A., Tomada, L. (1987) Representation Languages Specification, Deliverable Report D2.1, Esprit Project P820, CISE 3625.
Hollan, J.D., Hutchins, E.L., Weitzman, L. (1984) STEAMER: An Interactive Inspectable Simulation-Based Training System, AI Magazine 5, 15–27.
Kearsley, G. (ed.) (1987) Artificial Intelligence and Instruction, Addison Wesley Publishing Company.
Meyer, B. (1988) Object Oriented Software Construction, Prentice Hall.
Murray, W.R. (1989) Control for Intelligent Tutoring Systems: A Blackboard-based Dynamic Instructional Planner, Proceedings of the 4th International Conference on AI and Education, Amsterdam: IOS.
Nicolosi, E., Bertin, A. (1990) An Analysis of Explanation Types in Intelligent Tutoring Systems, Proceedings of the 5th Workshop on Explanation, Manchester.
Peachey, D.R., McCalla, G.I. (1986) Using planning techniques in intelligent tutoring systems, Int. J. Man-Machine Studies 24, 77–9.
Reason, J. (1987) Generic Error-Modelling System (GEMS): A Cognitive Framework for Locating Common Human Error Forms, in J. Rasmussen, K. Duncan and J. Leplat (eds.) New Technology and Human Error, John Wiley & Sons Ltd.
Sleeman, D., Brown, J.S. (eds.) (1982) Intelligent Tutoring Systems, London: Academic Press Inc.
Wenger, E. (1987) Artificial Intelligence and Tutoring Systems, Los Altos: Morgan Kaufmann Publishers Inc.
Woolf, B., Blagen, D., Jansen, J.H., Verloop, A. (1986) Teaching a Complex Industrial Process, Proceedings AAAI-86, Philadelphia: Morgan Kaufmann Publishers Inc.
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© 1991 Springer-Verlag Berlin Heidelberg
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Bertin, A., Buciol, F., Dondossola, G., Lanza, C. (1991). Electrical equipment maintenance training: An its application in industrial environment. In: Ardizzone, E., Gaglio, S., Sorbello, F. (eds) Trends in Artificial Intelligence. AI*IA 1991. Lecture Notes in Computer Science, vol 549. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-54712-6_251
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DOI: https://doi.org/10.1007/3-540-54712-6_251
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