Title: Human error identification techniques for risk assessment of high risk systems—Part 1: review and evaluation of techniques
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.
Publication Year: 1998
Publication Date: 1998-06-01
Language: en
Type: review
Indexed In: ['crossref', 'pubmed']
Access and Citation
Cited By Count: 148
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot