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Although cognitive engineering has gained widespread acceptance as one of the most promising approaches to addressing and preventing difficulties with human-machine coordination and collaboration, it still meets with considerable skepticism and resistance in some of the industries that could benefit from its insights and recommendations. The challenge for cognitive engineers is to better understand the reasons underlying these reservations and to overcome them by demonstrating and communicating more effectively their concepts, approaches, and proposed solutions. To contribute to this goal, the current volume presents concrete examples of cognitive engineering research and design. It is an attempt to complement the already existing excellent literature on cognitive engineering in domains other than aviation and to introduce professionals and students in a variety of domains to this rather young discipline. The editors of this book, and the authors whose work is included, subscribe to the need to evaluate work in context. Accepting new paradigms for the study of humans working in complex environments, they view the human as an asset--indeed a necessity--in human-machine systems and they accept and take advantage of variations in human behavior. In addition, they recognize that much or most error is the result of mismatches between human capabilities and the demands placed on those humans by the machines which they use in the environments in which they are placed. As a whole, this volume illustrates how far we've come in understanding the cognitive bases of human work in complex human-machine systems.
Although cognitive engineering has gained widespread acceptance as one of the most promising approaches to addressing and preventing difficulties with human-machine coordination and collaboration, it still meets with considerable skepticism and resistance in some of the industries that could benefit from its insights and recommendations. The challe
This book covers the Air Traffic Management (ATM) environment and the controller-crew interactions. The International Civil Aviation Organization (ICAO) regulations and organizational procedures are also presented in a succinct manner so that novel and experienced aviation practitioners appreciate how safety organization affects their cognitive performance. The book distills theoretical knowledge about human cognition and presents real examples and case studies to help readers understand how air traffic controllers make sense of difficult situations, make decisions under time pressure, detect and correct their errors, and adapt their performance to complex situations.
Our fascination with new technologies is based on the assumption that more powerful automation will overcome human limitations and make our systems 'faster, better, cheaper,' resulting in simple, easy tasks for people. But how does new technology and more powerful automation change our work? Research in Cognitive Systems Engineering (CSE) l
This volume features the complete text of the material presented at the Twenty-Fourth Annual Conference of the Cognitive Science Society. As in previous years, the symposium included an interesting mixture of papers on many topics from researchers with diverse backgrounds and different goals, presenting a multifaceted view of cognitive science. The volume includes all papers, posters, and summaries of symposia presented at this leading conference that brings cognitive scientists together. The 2002 meeting dealt with issues of representing and modeling cognitive processes as they appeal to scholars in all subdisciplines that comprise cognitive science: psychology, computer science, neuroscience, linguistics, and philosophy.
This book provides a framework for integrating complex systems that are problem-centric, human-centered, and provides an interdisciplinary, multi-methodological purview of multiple perspectives surrounding the human factors/human actors within living ecosystems. This book will provide useful theoretical and practical information to human factors, human-computer interaction, cognitive systems engineering personnel who are currently engaged in human-centered design or other applied aspects of modeling, simulation, and design that requires joint understanding of theory and practice.
This Handbook serves as a single source for theories, models, and methods related to cognitive task design. It provides the scientific and theoretical basis required by industrial and academic researchers, as well as the practical and methodological guidance needed by practitioners who face problems of building safe and effective human-technology s
Decision making pervades every aspect of life: people make hundreds of decisions every day. The vast majority of these are trivial and without a right or wrong answer. In some respects there is also nothing extraordinary about pilot decision making. It is only the setting that is different - the underlying cognitive processes are just the same. However, it is the context and the consequences of a poor decision which serve to differentiate aeronautical decision making. Decisions on the flight deck are often made with incomplete information and while under time pressure. The implications for inadequate performance is much more serious than in many other professions. Poor decisions are implicated in over half of all aviation accidents. This volume contains key papers published over the last 25 years providing an overview of the major paradigms by which aeronautical decision making has been investigated. Furthermore, decision making does not occur in isolation. It is a joint function of the flight tasks; knowledge; equipment on the flight deck and other stressors. In this volume of collected papers, works from leading authors in the field consider all these aspects of aeronautical decision making.
This textbook provides a tutorial introduction to behavioral applications of control theory. Control theory describes the information one should be sensitive to and the pattern of influence that one should exert on a dynamic system in order to achieve a goal. As such, it is applicable to various forms of dynamic behavior. The book primarily deals with manual control (e.g., moving the cursor on a computer screen, lifting an object, hitting a ball, driving a car), both as a substantive area of study and as a useful perspective for approaching control theory. It is the experience of the authors that by imagining themselves as part of a manual control system, students are better able to learn numerous concepts in this field. Topics include varieties of control theory, such as classical, optimal, fuzzy, adaptive, and learning control, as well as perception and decision making in dynamic contexts. The authors also discuss implications of control theory for how experiments can be conducted in the behavioral sciences. In each of these areas they have provided brief essays intended to convey key concepts that enable the reader to more easily pursue additional readings. Behavioral scientists teaching control courses will be very interested in this book.