Title :
Intelligent tutors in simulated environments that evolve to operator associates in actual systems
Author_Institution :
Center for Human-Machine Syst. & Res., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
Effective operator training is possible via the use of intelligent tutoring systems. Such systems incorporate system knowledge and operational information under normal and degraded conditions. They can be designed to adapt to the skill levels of the operators, and function as operator associates that share responsibility for system operation. The author discusses the characteristics necessary for the evolution of tutors into operator associates
Keywords :
artificial intelligence; computer aided instruction; digital simulation; knowledge representation; training; digital simulation; intelligent tutoring systems; knowledge representation; operational information; operator training; skill levels; system knowledge; Automation; Competitive intelligence; Degradation; Humans; Industrial training; Intelligent systems; Management training; Power engineering and energy; Power generation; Systems engineering and theory;
Conference_Titel :
Robot and Human Communication, 1992. Proceedings., IEEE International Workshop on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-0753-4
DOI :
10.1109/ROMAN.1992.253894
