ScholarLens Back to search
2010•Proceedings of the Human Factors and Ergonomics Society Annual MeetingRequires access

Using Cognitive Work Analysis Techniques to Identify Human Factor Hazards

Maureen Hassall, Penelope Sanderson, Ian T. Cameron

Open publisher page 7 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Human error, Hazard analysis, Hazard, Computer science, Risk analysis (engineering), Identification (biology), Process (computing), Work (physics)

Related papers

Related paper 1Related paper 2Related paper 3
Back to paper searchBrowse research topicsOriginal source
Using Cognitive Work Analysis Techniques to Identify Human Factor Hazards — Research Paper | ScholarLens