A Mid-Layer Model for Human Reliability Analysis: Understanding the Cognitive Causes of Human Failure Events

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The Office of Nuclear Regulatory Research (RES) is sponsoring work in response to a Staff Requirements Memorandum (SRM) directing an effort to establish a single human reliability analysis (HRA) method for the agency or guidance for the use of multiple methods. As part of this effort an attempt to develop a comprehensive HRA qualitative approach is being pursued. This paper presents a draft of the method’s middle layer, a part of the qualitative analysis phase that links failure mechanisms to performance shaping factors. Starting with a Crew Response Tree (CRT) that has identified human failure events, analysts identify potential failure ... continued below

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Hendrickson, Stacey M. L.; Whaley, April M.; Boring, Ronald L.; Chang, James Y. H.; Shen, Song-Hua; Mosleh, Ali et al. June 1, 2010.

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The Office of Nuclear Regulatory Research (RES) is sponsoring work in response to a Staff Requirements Memorandum (SRM) directing an effort to establish a single human reliability analysis (HRA) method for the agency or guidance for the use of multiple methods. As part of this effort an attempt to develop a comprehensive HRA qualitative approach is being pursued. This paper presents a draft of the method’s middle layer, a part of the qualitative analysis phase that links failure mechanisms to performance shaping factors. Starting with a Crew Response Tree (CRT) that has identified human failure events, analysts identify potential failure mechanisms using the mid-layer model. The mid-layer model presented in this paper traces the identification of the failure mechanisms using the Information-Diagnosis/Decision-Action (IDA) model and cognitive models from the psychological literature. Each failure mechanism is grouped according to a phase of IDA. Under each phase of IDA, the cognitive models help identify the relevant performance shaping factors for the failure mechanism. The use of IDA and cognitive models can be traced through fault trees, which provide a detailed complement to the CRT.

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  • PSAM 10,Seattle, WA, USA,06/07/2010,06/11/2010

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  • Report No.: INL/CON-10-18093
  • Grant Number: DE-AC07-05ID14517
  • Office of Scientific & Technical Information Report Number: 986959
  • Archival Resource Key: ark:/67531/metadc1014811

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  • June 1, 2010

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Hendrickson, Stacey M. L.; Whaley, April M.; Boring, Ronald L.; Chang, James Y. H.; Shen, Song-Hua; Mosleh, Ali et al. A Mid-Layer Model for Human Reliability Analysis: Understanding the Cognitive Causes of Human Failure Events, article, June 1, 2010; Idaho. (digital.library.unt.edu/ark:/67531/metadc1014811/: accessed November 15, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.