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1,824 result(s) for "Human-machine systems."
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Cognitive Work Analysis: Coping with Complexity
'Complex sociotechnical systems' are systems made up of numerous interacting parts, both human and non-human, operating in dynamic, ambiguous and safety critical domains. Cognitive Work Analysis (CWA) is a structured framework specifically developed for considering the development and analysis of these complex socio-technical systems. Unlike many human factors approaches, CWA does not focus on how human-system interaction should proceed (normative modelling) or how human-system interaction currently works (descriptive modelling). Instead, through a focus on constraints, it develops a model of how work can be conducted within a given work domain, without explicitly identifying specific sequences of actions (formative modelling).
The Handbook of Human-Machine Interaction
The Handbook of Human-Machine Interaction features 20 original chapters and a conclusion focusing on human-machine interaction (HMI) from analysis, design and evaluation perspectives. It offers a comprehensive range of principles, methods, techniques and tools to provide a clear knowledge of the current academic and industry practice and debate that define the field. Physical, cognitive, social and emotional aspects are considered throughout and the text is illustrated by key application domains such as aviation, automotive, medicine and defence.
Cyber-physical-human systems : fundamentals and applications
\"Significant advances in control systems, communications, networking, sensing, and computing have formed the foundation of the field of Cyber-Physical Systems (CPS). As societal challenges increase, there is an increasing need for human elements to form closer ties with CPS. The underlying interactions and integrations of CPSs and human systems are varied, complex, and highly challenging, and they merit systematic investigation, forming the underpinning of this growing field of Cyber-Physical-Human Systems (CPHS). These systems are being designed to address major technological applications that contribute to human welfare in a wide range of domains, including transportation, aerospace, health and medicine, robotics, manufacturing, energy, and the environment\"-- Provided by publisher.
Designing human-machine cooperation systems
This book, on the ergonomics of human−machine systems, is aimed at engineers specializing in informatics, automation, production or robotics, who are faced with a significant dilemma during the conception of human−machine systems. On the one hand, the human operator guarantees the reliability of the system and has been known to salvage numerous critical situations through an ability to reason in unplanned, imprecise and uncertain situations; on the other hand, the human operator can be unpredictable and create disturbances in the automated system.
Risk Determination versus Risk Perception: A New Model of Reality for Human–Machine Autonomy
We review the progress in developing a science of interdependence applied to the determinations and perceptions of risk for autonomous human–machine systems based on a case study of the Department of Defense’s (DoD) faulty determination of risk in a drone strike in Afghanistan; the DoD’s assessment was rushed, suppressing alternative risk perceptions. We begin by contrasting the lack of success found in a case study from the commercial sphere (Facebook’s use of machine intelligence to find and categorize “hate speech”). Then, after the DoD case study, we draw a comparison with the Department of Energy’s (DOE) mismanagement of its military nuclear wastes that created health risks to the public, DOE employees, and the environment. The DOE recovered by defending its risk determinations and challenging risk perceptions in public. We apply this process to autonomous human–machine systems. The result from this review is a major discovery about the costly suppression of risk perceptions to best determine actual risks, whether for the military, business, or politics. For autonomous systems, we conclude that the determinations of actual risks need to be limited in scope as much as feasible; and that a process of free and open debate needs to be adopted that challenges the risk perceptions arising in situations facing uncertainty as the best, and possibly the only, path forward to a solution.