Abstract
HPES, a managerial error analysis system to investigate the types and causes of human errors in nuclear power plants (NPP), has been widely adopted in U.S. and many other countries. To make the reporting more effective, the chronological description of the incident has to include the cognitive activities of the operators, and the analysis of human errors needs to be explicitly related to the human cognitive process. This paper presents a computerized support system for the analysis of human errors in NPP based on a cognitive model. The most intelligent part of the support system interactively aids the analyst in composition of event sequences by checking possible omissions of important facts and logical deficiencies against a decision making model. It also helps the analyst to relate error classification and factor analysis parts directly to the event description. As a result, the analyst not only can conduct the analysis more easily but also can develop a report of a better quality that reveals cognitive causations among human activities and system states.
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