Cognitive engineering

Wilson, Kyle M.; Helton, William S.; Wiggins, Mark W.

doi:10.1002/wcs.1204

Cited by 27 publications

(12 citation statements)

References 91 publications

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“…Cognitive Engineering (CE) [31] is primarily concerned with human-machine interfaces, applied to fields as diverse as air traffic control and military combat [32]. Its application is familiar to many in relation the usability of sociotechnical systems such as computers and telecommunications interfaces.…”

Section: Cognitive Engineeringmentioning

confidence: 99%

Cognitive Biases and the Cultural Disconnect between Engineers and Decision-makers

Booker

Gates²,

Knights

2021

TSSJ

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Engineering culture is alien to the way the average person thinks and makes decisions. There is a dichotomy between the evidence-based analytical methodologies used by engineers and the intuitive or heuristic processes commonly used by the general public. Both can be appropriate in context, but wrong choices can lead to undesirable and sometimes dire consequences. For the recommendations from an engineering analysis to be accepted by non-technical decision-makers, the findings must be presented in a manner that takes account of human factors. Successful engineers are those who are proficient in translating the language of their technical discipline into that of broader society. A key skill is consequential reasoning, which is contained within engineering codes of ethics but is also critical to the persuasive power of analytical findings. Students and early-career engineers need structured learning in communication and in socio-cultural and emotional intelligence. They need exposure to cognitive psychology and epistemology, especially in relation to bias and false logic. If formal humanities courses cannot be accommodated in the undergraduate engineering degree, then post-graduate and continuing professional development opportunities should be offered.

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Section: Cognitive Engineeringmentioning

confidence: 99%

Cognitive Biases and the Cultural Disconnect between Engineers and Decision-makers

Booker

Gates²,

Knights

2021

TSSJ

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“…For many decades, organizational theorists, cognitive and social psychologists, political scientists, sociologists and anthropologists and science and technology studies specialists have researched technologies under the analytic framework of sociotechnical systems [6]. This research has provided important insights into human factors and ergonomics [9,29]; the psychological and anthropological aspects of technologies [15]; the understanding of management challenges posed by complex technologies [5,16,22]; organizational and managerial dimensions of high reliability in the operation of hazardous technologies [1,11,19,20,23]; and, more recently, the analysis of catastrophic accidents involving complex technical systems [13,[16][17][18]26]. Current accident analyses almost always identify organizational and managerial factors as root if not proximate causes of these accidents.…”

Section: A Persistent Disconnect Between Organizational Aspects and Ementioning

confidence: 99%

Human and Organisational Factors

2020

SpringerBriefs in Applied Sciences and Technology

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The SpringerBriefs in Safety Management present cutting-edge research results on the management of technological risks and decision-making in high-stakes settings.Decision-making in high-hazard environments is often affected by uncertainty and ambiguity; it is characterized by trade-offs between multiple, competing objectives. Managers and regulators need conceptual tools to help them develop risk management strategies, establish appropriate compromises and justify their decisions in such ambiguous settings. This series weaves together insights from multiple scientific disciplines that shed light on these problems, including organization studies, psychology, sociology, economics, law and engineering. It explores novel topics related to safety management, anticipating operational challenges in high-hazard industries and the societal concerns associated with these activities.These publications are by and for academics and practitioners (industry, regulators) in safety management and risk research. Relevant industry sectors include nuclear, offshore oil and gas, chemicals processing, aviation, railways, construction and healthcare. Some emphasis is placed on explaining concepts to a non-specialized audience, and the shorter format ensures a concentrated approach to the topics treated.The SpringerBriefs in Safety Management series is coordinated by the Foundation for an Industrial Safety Culture (FonCSI), a public-interest research foundation based in Toulouse, France. The FonCSI funds research on industrial safety and the management of technological risks, identifies and highlights new ideas and innovative practices, and disseminates research results to all interested parties. For more information: https://www.foncsi.org/. More information about this subseries at

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“…In fact, research on (or bearing on) visual devices has been carried out in several other, mostly small specialized fields, often with little mutual awareness. Insights relevant on VM can be found in Cognitive engineering (Wilson & al. 2013), Human Factors engineering (Wickens & al.…”

Section: Introductionmentioning

confidence: 99%

Why Visual Management?

Koskela¹,

Tezel²,

Tzortzopoulos³

2018

Annual Conference of the International Group for Lean Construction

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From early on, visual management (VM) has been an intrinsic ingredient of the Toyota Production System (TPS) and its derivatives like lean production. Akin to the evolution of most other parts of the TPS, it has been developed through practitioner efforts rather than being propelled by theoretical insights. Recently, scholars have started to create a theoretical knowledge base for VM. Besides taxonomies of visual devices and their functions, there is only one fully fledged theory of VM, based on the concept of affordance. It is contended here that the scholarly field of visual management has been too narrowly defined. In fact, research on (or bearing on) visual devices has been carried out in several other, mostly small fields, often with little mutual awareness. A review on the theoretical explanation of VM is provided, based on this wider literature. The concept of affordance has been used in this context already in early 1990s. This focuses attention especially to the human cognitive capabilities and corresponding features of visual devices. Generally, VM is argued to provide a more rapid and reliable mode of communication in comparison to traditional alternatives. VM is thus compatible with the lean tenets of time compression and variability reduction. This explains its central role in lean production.

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Cognitive engineering

Cited by 27 publications

References 91 publications

Cognitive Biases and the Cultural Disconnect between Engineers and Decision-makers

Cognitive Biases and the Cultural Disconnect between Engineers and Decision-makers

Human and Organisational Factors

Why Visual Management?

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