The Oxford Handbook of Cognitive Engineering

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John D. Lee, Alex Kirlik, M. J. Dainoff
OUP USA, Mar 7, 2013 - Psychology - 639 pages
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Cognitive engineering is an interdisciplinary approach to the analysis, modeling, and design of engineered systems or workplaces in which humans and technologies jointly operate to achieve system goals. As individuals, teams, and organizations become increasingly reliant on information technology and automation, it is more important than ever for system and workplace design to be maximally informed by state-of-the-art cognitive engineering research. This volume is the first authoritative handbook to cover this recent and rapidly growing field. The handbook collects and organizes contemporary cognitive engineering research, drawing on the original research of more than 60 contributing experts. Coverage of human factors, human-computer interaction, and the conceptual foundations of cognitive engineering is extensive, addressing not only cognitive engineering in broader organizations and communities, but also focusing on individual cognition, addressing topics of attention, decision making, and multi-tasking. This thorough approach speaks to the broad scope of cognitive engineering, spanning the individual operator to teams and organizations, with a focus on how systems of people and technology, often in the form of automation, influences performance. By collecting the best of cognitive engineering research in one volume, this book serves as both a convenient reference guide and as a useful entry point to the large and diverse research literature. As such, this handbook will be a valuable resource for researchers, students, and practitioners in cognitive engineering and a variety of related fields in need of guidance for how to put their products, systems, and services into the hands of human users, performers, and customers.
 

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Contents

Cognitive Engineering History and Foundations Introduction to the Handbook
1
Cognition in Engineered Systems
17
Cognitive Engineering Methods
227
Cognitive Engineering Models
413
Cognitive Technologies in Engineered Systems
515
Index
623
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About the author (2013)


John D. Lee, Ph.D., is the Emerson Electric professor in the Department of Industrial and Systems Engineering at the University of Wisconsin, Madison and is Director of the Cognitive Systems Laboratory.

Alex Kirlik, Ph.D., is a professor in the Departments of Computer Science, Psychology, and Systems Engineering at the University of Illinois at Urbana-Champaign, where he is also member of the Beckman Institute for Advanced Science and Technology.

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