"Ironies of Automation" is a research paper written by Lisanne Bainbridge and published in Automatica in 1983, [1] and has been widely recognized as a pioneering statement of the problems inherent in automation.
Bainbridge argues that new, severe problems are caused by automating most of the work, while the human operator is responsible for tasks that can't be automated. Thus, operators will not practice skills as part of their ongoing work. Their work now also includes exhausting monitoring tasks. Thus, rather than needing less training, operators need to be trained more to be ready for the rare but crucial interventions.
Barry Strauch analyzes the paper's significance, observing that by November 2016 it had attracted 1800 citations, far beyond other influential works on the topic, and that "The number of citations of Bainbridge’s work, large as it is, is also increasing at a considerable rate." [2] Retrospectives on "Ironies of Automation" and its significance have appeared in both IEEE and ACM publications. [3]
Lisanne Bainbridge is a cognitive psychologist, active in human factors research between the late 1960s and 1998. She obtained a doctorate in 1972 for work on process controllers [4] and went on to author various research on mental load, process operations, and related topics. She taught at University of Reading and University College London [5] (See the references in Strauch for a partial bibliography, or her home page link below.)
See https://www.complexcognition.co.uk/p/home.html, including note on relation to Rasmussen's work.
Computer science is the study of computation, information, and automation. Computer science spans theoretical disciplines to applied disciplines.
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Situational awareness or situation awareness (SA) is the understanding of an environment, its elements, and how it changes with respect to time or other factors. Situational awareness is important for effective decision making in many environments. It is formally defined as:
“the perception of the elements in the environment within a volume of time and space, the comprehension of their meaning, and the projection of their status in the near future”.
Human–robot interaction (HRI) is the study of interactions between humans and robots. Human–robot interaction is a multidisciplinary field with contributions from human–computer interaction, artificial intelligence, robotics, natural language processing, design, psychology and philosophy. A subfield known as physical human–robot interaction (pHRI) has tended to focus on device design to enable people to safely interact with robotic systems.
In computer science, programming by demonstration (PbD) is an end-user development technique for teaching a computer or a robot new behaviors by demonstrating the task to transfer directly instead of programming it through machine commands.
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Robotics is the interdisciplinary study and practice of the design, construction, operation, and use of robots.
Human–computer interaction (HCI) is research in the design and the use of computer technology, which focuses on the interfaces between people (users) and computers. HCI researchers observe the ways humans interact with computers and design technologies that allow humans to interact with computers in novel ways. A device that allows interaction between human being and a computer is known as a "Human-computer Interface (HCI)".
Manfred Morari is a world-leading control theorist who has made pioneering contributions to the theory and applications of Model Predictive Control, Internal Model Control (IMC) and Hybrid Systems. His book on Robust Process Control is considered to be definitive text on the subject. He is currently Peter and Susanne Armstrong Faculty Fellow at the University of Pennsylvania. He received his Ph.D. in Chemical Engineering from the University of Minnesota in 1977. Dr. Morari held positions at the University of Wisconsin, Madison (1977–1983), the California Institute of Technology (1983-1991), and the Swiss Federal Institute of Technology in Zurich ETH Zurich. He is considered a pioneer in field of Model Predictive Control, Control of Hybrid Systems, Internal Model Control (IMC), and robust control.
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Gunnar Johannsen is a German cyberneticist, and Emeritus Professor of Systems Engineering and Human-Machine Systems at the University of Kassel, known for his contributions in the field of human-machine systems.
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Karl Henrik Johansson is a Swedish researcher and best known for his pioneering contributions to networked control systems, cyber-physical systems, and hybrid systems. His research has had particular application impact in transportation, automation, and energy networks. He holds a Chaired Professorship in Networked Control at the KTH Royal Institute of Technology in Stockholm, Sweden. He is Director of KTH Digital Futures.
Branislava Peruničić-Draženović is an Emeritus Professor of Control Engineering at the University of Sarajevo. She was elected to the Academy of Sciences and Arts of Bosnia and Herzegovina in 1986.
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The out-of-the-loop performance problem arises when an operator suffers from performance decrement as a consequence of automation. The potential loss of skills and of situation awareness caused by vigilance and complacency problems might make operators of automated systems unable to operate manually in case of system failure. Highly automated systems reduce the operator to monitoring role, which diminishes the chances for the operator to understand the system. It is related to mind wandering.