Cooperative human-machine fault diagnosisCurrent expert system technology does not permit complete automatic fault diagnosis; significant levels of human intervention are still required. This requirement dictates a need for a division of labor that recognizes the strengths and weaknesses of both human and machine diagnostic skills. Relevant findings from the literature on human cognition are combined with the results of reviews of aircrew performance with highly automated systems to suggest how the interface of a fault diagnostic expert system can be designed to assist human operators in verifying machine diagnoses and guiding interactive fault diagnosis. It is argued that the needs of the human operator should play an important role in the design of the knowledge base.
Document ID
19880034432
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Remington, Roger (NASA Ames Research Center Moffett Field, CA, United States)
Palmer, Everett (NASA Ames Research Center Moffett Field, CA, United States)