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Human error identification techniques for risk assessment of high risk systems--Part 1: Review and evaluation of techniques.

作者信息

Kirwan B

机构信息

Industrial Ergonomics Group, School of Manufacturing and Mechanical Engineering, University of Birmingham, UK.

出版信息

Appl Ergon. 1998;29(3):157-77. doi: 10.1016/s0003-6870(98)00010-6.

Abstract

This is the first in a two-part series of papers dealing with the area of assessing human errors in high risk complex systems. This first paper outlines thirty-eight approaches of error identification, categorising them into types of error identification approach. The paper then reviews these techniques with respect to a broad range of criteria. Viable and non-viable techniques are identified. Trends and research needs are also noted. The second paper proposes a framework or tool-kit approach to Human Error Identification, and presents a prototype methodology to show what such a framework approach would look like in practice, for the nuclear power domain.

摘要

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