Using Cognitive Work Analysis Techniques to Identify Human Factor Hazards

Abstract

Accidents in the process industries can be attributed, at least in part, to human causes. Hazard studies are commonly used in industry to identify and manage risks. This paper describes a methodology, called HumHID, which potentially improves hazard identification associated with human factors. The approach is based on cognitive work analysis (CWA) techniques, human factors/error taxonomies and the blended hazard methodology (BLHAZID). A desktop case study is used to illustrate the application of the methodology. The results show that a combination of CWA, human factors/error taxonomies and BLHAZID techniques provides a structured means of identifying hazards associated with human activity as well as showing the causality behind the hazards which can be used to guide redesign work.

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