Abstract

This paper reports objectives and results of a research project to develop an intelligent tutoring system for an industrial application. The Electrical Equipment Maintenance Training (EEMT) system focuses on recurrent training of technical personnel employed in the maintenance of electrical devices, the target being to sensitize experienced technicians to safety problems. The main features of the EEMT system are presented: the simulator to evaluate the degree of danger, the didactician able to match trainee needs, the diagnosis of the trainee errors, and the human-computer interface based on the artificial reality paradigm.

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