Citation

Kirwan B. Appl. Ergon. 1992; 23(5): 299-318.

Affiliation

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

Copyright

(Copyright © 1992, Elsevier Publishing)

DOI

unavailable

PMID

15676877

Abstract

This paper reviews a number of approaches which can be used to identify human errors in human-machine systems. These approaches range from simple error classifications to sophisticated software packages based on models of human performance. However, the prediction of human behaviour in complex environments is far from being an easy task itself, and there is significant scope for improvement in human error identification 'technology'. This first paper in a series of two reviews the available techniques of human error identification, highlighting their strengths and weaknesses. The second paper will review the validation of such approaches, and likely future trends in this area of human reliability assessment.

Language: en