Premium
AGAPE‐ET: A Methodology for Human Error Analysis of Emergency Tasks
Author(s) -
Kim Jae W.,
Jung Wondea,
Ha Jaejoo
Publication year - 2004
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/j.0272-4332.2004.00524.x
Subject(s) - human error , cognition , human reliability , function (biology) , computer science , task (project management) , error analysis , reliability engineering , set (abstract data type) , process (computing) , artificial intelligence , risk analysis (engineering) , psychology , engineering , systems engineering , medicine , mathematics , neuroscience , evolutionary biology , biology , programming language , operating system
This article introduces a human error analysis or human reliability analysis methodology, AGAPE‐ET ( A G uidance A nd P rocedure for Human E rror Analysis for E mergency T asks), for analyzing emergency tasks in nuclear power plants. The AGAPE‐ET method is based on a simplified cognitive model and a set of performance‐influencing factors (PIFs). At each cognitive function, error‐causing factors (ECF) or error‐likely situations have been identified considering the characteristics of the performance of each cognitive function and the influencing mechanism of the PIFs on the cognitive function. Then, a human error analysis procedure based on the error analysis factors is organized to cue or guide the analyst in conducting the human error analysis. The method can be characterized by the structured identification of weak points of the task required to be performed and by the efficient analysis process such that the analyst has only to carry out the analysis with the necessary cognitive functions. Through the application, AGAPE‐ET showed its usefulness, which effectively identifies the vulnerabilities with respect to cognitive performance as well as task execution, and that helps the analyst directly draw specific error reduction measures through the analysis.