Abstract


Cognitive behavior analysis is quite important to evaluate the effectiveness of the man-machine interface for huge, complex engineering systems. This paper presents a cognitive behavior analysis method based on a laboratory experiment using nuclear power plant simulator and experienced subjects and it¡Çs application to the human modeling. The analysis is focused on the diagnosis process for plant anomaly. The cognitive behavior analysis was performed based on the Questionnaire Answers(QA) and operational sequence history(OSH) recorded during simulator runs. The results of cognitive behavior analysis of three subjects utilizing QAs and OSHs showed that diagnosis processes are successfully represented by the proposed analysis technique. The knowledge obtained from the analysis was then utilized to construct human model for each subject on the computer. The results of numerical simulation demonstrated that the developed models are capable of representing individual diagnosis behavior properly.

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(C) 2020 Hirotake Ishii