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Ergonomists as designers: computational modelling and simulation of complex socio-technical systems.
Matthew C Davis1, Helen P N Hughes1, Alison McKay2
1Leeds University Business School, University of Leeds, Leeds, UK.
Computational modelling and simulation offer powerful solutions for complex ergonomics challenges. This approach, though underutilized, can enhance the design and understanding of intricate socio-technical systems.
Area of Science:
- Ergonomics
- Human Factors Engineering
- Computational Social Science
Background:
- Contemporary ergonomics problems are increasingly complex and systemic.
- Traditional methods struggle to address these multifaceted challenges.
- Computational modelling presents a methodological solution for complex ergonomics issues.
Purpose of the Study:
- To illustrate the potential of computational modelling in ergonomics.
- To highlight the benefits and challenges of computational modelling in multi-disciplinary settings.
- To advocate for the integration of computational modelling into ergonomics practice.
Main Methods:
- Application of computational modelling to teamworking in engineering.
- Modelling of crowd behaviour in transport terminals.
- Simulation of engineering supply chain performance.
Main Results:
- Computational modelling effectively addresses complex socio-technical systems.
- Multi-disciplinary approaches require socio-technical design principles.
- Ergonomists can be designers and users of computational models.
Conclusions:
- Computational modelling and simulation are underutilized in ergonomics.
- These techniques offer valuable insights into complex systems.
- Integrating computational modelling enhances the ergonomist's toolkit.
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