Big data and ergonomics methods: A new paradigm for tackling strategic transport safety risks

Walker, Guy H.; Strathie, Ailsa

doi:10.1016/j.apergo.2015.09.008

Cited by 34 publications

(20 citation statements)

References 24 publications

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“…Preprocessing of data, such as big data that have been plaguing the computer industry during recent years, is necessary for HRA. Long‐standing ergonomics methods can be driven from big data, which successfully provide insight into human performance in a novel manner . With the explosion of data, data processing will be an inseparable aspect of the future establishment of cognitive models in HRA, particularly when the available PSFs must be selected from a large number of variables.…”

Section: Discussion and Future Researchmentioning

confidence: 99%

A Review of Cognitive Models in Human Reliability Analysis

Pan

Lin

2016

Quality & Reliability Eng

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Human error behavior is determined by both environmental and human factors. In particular, psychological and spiritual factors have a decisive impact on human errors. The human cognitive model not only makes a sound exposition of the generation process and mechanism of human erroneous actions but also improves the accuracy and credibility of human reliability analysis (HRA). Therefore, it helps effectively avoid and prevent human errors in industrial fields. This paper highlights the significant role that the cognitive model has played in HRA. Then, based on an analysis of the nature of human behavior and the classifications of common human errors, several typical cognitive models are summarized in the areas of ergonomics, behavioral science, and cognitive engineering, including a cognitive model related to process, an information-processing model, a decision-making and problem-solving process model, and a cognitive simulation model based on computer technology. Then, cognitive models and the corresponding HRA methods that are applied in the fields of reliability engineering, safety engineering, and risk assessment are reviewed. Finally, some directions and challenges are proposed for the future research of cognitive models applied in HRA methods based on the discussion of current cognitive models used in HRA methods.

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Section: Discussion and Future Researchmentioning

confidence: 99%

A Review of Cognitive Models in Human Reliability Analysis

Pan

Lin

2016

Quality & Reliability Eng

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“…Walker and Strathie [7] presented a number of proofs of concept demonstrations to show that long standing ergonomics methods can be driven from big data, and succeed in providing insight into human performance in a novel way. Over 300 ergonomics methods were reviewed and a smaller sub-set selected for proof-of-concept development using real on-train recorder data.…”

Section: Editorialmentioning

confidence: 99%

Big Data Analytics as a Tool for Reducing Ergonomics Risk

Emanuele¹

2016

J Ergonomics

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“…A moment when infrastructures like the internet are creating a form of globally connected nervous system, when more 'things' will be connected to the internet than (10 x21) and growing all the time. Hitherto impossible ergonomic insights then become manifest in radically new ways (Walker & Strathie, 2016;Drury, 2015). In terms of paradigms it is instructive to consider that for most of the post-war period the paradigm in the human sciences has been empirical falsification of the Popperian school, and the generalizability of findings derived from smaller samples to larger populations.…”

Section: Introductionmentioning

confidence: 99%

Quantum ergonomics: shifting the paradigm of the systems agenda

Walker¹,

Salmon²,

Bedinger³

et al. 2020

New Paradigms in Ergonomics

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A paradigm is an accepted world view. If we do not continually question our paradigm then wider trends and movements will overtake the discipline leaving it ill adapted to future challenges. This Special Issue is an opportunity to keep systems thinking at the forefront of ergonomics theory and practice. Systems thinking prompts us to ask whether ergonomics, as a discipline, has been too timid? Too preoccupied with the resolution of immediate problems with industrial-age methods when, approaching fast, are developments which could render these operating assumptions an irrelevance? Practical case studies are presented to show how abstract systems problems can be tackled head-on to deliver highly innovative and cost-effective insights. The strategic direction of the discipline foregrounds highquality systems problems. These are something the discipline is well able to respond to provided that the appropriate operating paradigms are selected.

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Big data and ergonomics methods: A new paradigm for tackling strategic transport safety risks

Cited by 34 publications

References 24 publications

A Review of Cognitive Models in Human Reliability Analysis

A Review of Cognitive Models in Human Reliability Analysis

Big Data Analytics as a Tool for Reducing Ergonomics Risk

Quantum ergonomics: shifting the paradigm of the systems agenda

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