Journal article
Using cognitive work analysis to identify competencies for human factors and ergonomics practitioners
Ergonomics, Vol.65(3), pp.348-361
2022
Abstract
While several competency frameworks have been proposed for Human Factors and Ergonomics (HFE) practitioners, these are not commonly based on structured analyses. The aim of this research was to develop a sociotechnical systems model of the HFE practitioner role in Australia and identify the competencies required to fulfil the role. Study One applied the Work Domain Analysis phase of cognitive work analysis (CWA) to model the HFE practitioner role. Model refinement was undertaken with seven subject matter experts. In Study Two, the model was used to elicit the competencies (knowledge, skills, abilities, other characteristics) required for successful performance, via a survey of 28 HFE practitioners. Most competencies related to skills (i.e. communication skills) and knowledge (i.e. domain knowledge). Gaps in competencies were also identified, linked to a lack of HFE education pathways in Australia. The findings have practical utility for designing HFE practitioner roles and educational programs.
Details
- Title
- Using cognitive work analysis to identify competencies for human factors and ergonomics practitioners
- Authors
- Gemma J. M Read (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems ScienceKatie Schultz (Author) - University of the Sunshine Coast, Queensland, School of Social Sciences - LegacyNatassia Goode (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems SciencePaul M Salmon (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems Science
- Publication details
- Ergonomics, Vol.65(3), pp.348-361
- Publisher
- Taylor & Francis
- Date published
- 2022
- DOI
- 10.1080/00140139.2021.1955979
- ISSN
- 1366-5847; 0014-0139
- Grants
- Organisation Unit
- Centre for Human Factors and Systems Science; School of Health - Psychology; School of Law and Society
- Language
- English
- Record Identifier
- 99579107902621
- Output Type
- Journal article
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InCites Highlights
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- Web Of Science research areas
- Engineering, Industrial
- Ergonomics
- Psychology
- Psychology, Applied
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Source: InCites