Human error identification techniques for risk assessment of high risk systems--Part 1: Review and evaluation of techniques.
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.
Kirwan
B
B
Industrial Ergonomics Group, School of Manufacturing and Mechanical Engineering, University of Birmingham, UK.
D016552:Ergometry; D005069:Evaluation Studies as Topic; D006801:Humans; D018570:Risk Assessment; D013647:Task Performance and Analysis