Radical systems thinking and the future role of computational modelling in ergonomics: an exploration of agent-based modelling

被引:18
|
作者
Holman, Matt [1 ]
Walker, Guy [1 ]
Lansdown, Terry [2 ]
Hulme, Adam [3 ]
机构
[1] Heriot Watt Univ, Dept Energy Geosci Infrastruct & Soc, Edinburgh Campus,Boundary Rd North, Edinburgh EH14 4AS, Midlothian, Scotland
[2] Heriot Watt Univ, Sch Social Sci, Edinburgh, Midlothian, Scotland
[3] Univ Sunshine Coast, Ctr Human Factors & Sociotech Syst, Sippy Downs, Qld, Australia
基金
澳大利亚研究理事会;
关键词
Ergonomics; computational modelling; systems thinking; AI; IoT; COGNITIVE WORK ANALYSIS; SOCIOTECHNICAL SYSTEMS; COMPLEX-SYSTEMS; AUTOMATION; ALLOCATION; TRUST; FUNDAMENTALS; SINGULARITY; COOPERATION; SIMULATION;
D O I
10.1080/00140139.2019.1694173
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
We are teetering on the precipice of the imminent Fourth Industrial Revolution. In this new age, systems are set to become more densely intraconnected and interconnected, and massive sociotechnical systems exhibiting unprecedented levels of complexity will increasingly take hold. At the dawning of this new age, the Ergonomics discipline must reflect on its preparedness for tackling problems in these novel systems. This paper engages in this reflection by putting forth a critical commentary on the implication of these changes on the discipline and discusses the utility of our current methods in this new paradigm. A resulting Radical Systems Thinking in Ergonomics Manifesto is put forward - a set of mandates to guide practitioners and researchers in the development of new methods capable of coping with these imminent challenges. From the manifesto are derived a series of capability requirements for future computational modelling approaches in Ergonomics. Practitioner summary: The goal of this paper was to inspire the Ergonomics community to pursue further applications involving computational modelling approaches such as Agent-Based Modelling. It presents a manifesto for the future of the discipline, and from this the capabilities that future computational modelling approaches need to possess.
引用
收藏
页码:1057 / 1074
页数:18
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