Citation

Kirwan B. Appl. Ergon. 1998; 29(3): 157-177.

Affiliation

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

Copyright

(Copyright © 1998, Elsevier Publishing)

DOI

unavailable

PMID

9676333

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.

Language: en