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Radical systems thinking and the future role of computational modelling in ergonomics: an exploration of agent-based modelling
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Abstract:
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. Abbreviations: 1IR: first industrial revolution; 2IR: second industrial revolution; 3IR: third industrial revolution; 4IR: fourth industrial revolution; ABM: agent based model; AI: artificial intelligence; AoF: allocation of function; CPA: cyber physical attack; CPS: cyber-physical system; CWA: cognitive work analysis; DDoS: distributed denial of service; EAST: event analysis of systemic teamwork; FRAM; functional resonance analysis method; HCI: human-computer interaction; HERA: human error and recovery assessment; HET: human error template; HMC: human-machine cooperation; IoT: internet of things; RSTEM: radical systems thinking in ergonomics manifesto; SAI: situated artificial intelligence; STAMP: systems theoretic accident model and processes; TRACEr: technique for the retrospective and predictive analysis of cognitive errors in air traffic control
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Keyword:
AI; computational modelling; ergonomics; FoR 1106 (Human Movement and Sports Science); FoR 1203 (Design Practice and Management); FoR 1701 (Psychology); IoT; systems thinking
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URL: https://doi.org/10.1080/00140139.2019.1694173
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| 2 |
Using Kaleidographic to visualize multimodal relations within and across texts
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Engaging creativity: Employing assessment feedback strategies to support confidence and creativity in graphic design practice
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Mind, language and artworks as real constraints on students’ critical reasoning about meaning in art
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"Je lis ça comme je lirais un roman": reading scientific works on hypnotism in late nineteenth-century France
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Patient-centred care: A review for rehabilitative audiologists
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UK survey of clinical consistency in tracheostomy management
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Gautier le leu's du C[on], an old french fabliau of the thirteenth century
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An Australian version of the acceptable noise level test and its predictive value for successful hearing aid use in an older population
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An Australian survey of audiologists' preferences for patient-centredness
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| 13 |
The purposes of playing on the post civil war stage: The politics of affection in William Davenant's dramatic theory
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An investigation of factors that influence help-seeking for hearing impairment in older adults
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| 15 |
Identifying the barriers and facilitators to optimal hearing aid self-efficacy
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| 16 |
The reliability of a severity rating scale to measure stuttering in an unfamiliar language
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Do injury characteristics predict the severity of acute neuropsychological deficits following sports-related concussion? A meta-analysis
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Factors associated with success with hearing aids in older adults
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| 19 |
Walking and talking with living texts: Breathing life against static standardisation
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| 20 |
Exploring the relationship between technology use, hearing help-seeking, and hearing aid outcomes in older adults
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