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Published VersionCC BY V4.0, Open Access
Journal article
The Binary-Based Model (BBM) for Improved Human Factors Method Selection
Human Factors, Vol.63(8), pp.1408-1436
2021
Abstract
Objective: This paper presents the Binary-Based Model (BBM), a new approach to Human Factors (HF) method selection. The BBM helps practitioners select the most appropriate HF methodology in relation to the complexity within the target system. Background: There are over 200 HF methods available to the practitioner and little guidance to help choose between them. Method: The BBM defines a HF “problem space” comprising three complexity attributes. HF problems can be rated against these attributes and located in the “problem space.” In addition, a similar HF “approach space” in which 66 predictive methods are rated according to their ability to confront those attributes is defined. These spaces are combined into a “utility space” in which problems and methods coexist. In the utility space, the match between HF problems and methods can be formally assessed. Results: The method space is split into octants to establish broad groupings of methods distributed throughout the space. About 77% of the methods reside in Octant 1 which corresponds to problems with low levels of complexity. This demonstrates that most HF methods are suited to problems in low-complexity systems. Conclusion: The location of 77% of the rated methods in Octant 1 indicates that HF practitioners are underserved with methods for analysis of HF problems exhibiting high complexity. Application: The BBM can be used by multidisciplinary teams to select the most appropriate HF methodology for the problem under analysis. All the materials and analysis are placed in the public domain for modification and consensus building by the wider HF community.
Details
- Title
- The Binary-Based Model (BBM) for Improved Human Factors Method Selection
- Authors
- Matt Holman (Author) - Heriot-Watt UniversityGuy Walker (Author) - Heriot-Watt UniversityTerry Lansdown (Author) - Heriot-Watt UniversityPaul Salmon (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems ScienceGemma Read (Author) - University of the Sunshine Coast, Queensland, Centre for Human Factors and Systems ScienceNeville Stanton (Author) - University of Southampton
- Publication details
- Human Factors, Vol.63(8), pp.1408-1436
- Publisher
- Sage Publications, Inc.
- Date published
- 2021
- DOI
- 10.1177/0018720820926875
- ISSN
- 1547-8181; 0018-7208
- Copyright note
- This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
- Organisation Unit
- Centre for Human Factors and Systems Science; School of Health - Psychology; School of Law and Society
- Language
- English
- Record Identifier
- 99469908302621
- Output Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Behavioral Sciences
- Engineering, Industrial
- Ergonomics
- Psychology
- Psychology, Applied