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The Oxford Handbook of Cognitive Engineering
     

The Oxford Handbook of Cognitive Engineering

by John D. Lee, Alex Kirlik
 

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

Overview

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.

Editorial Reviews

Doody's Review Service
Reviewer: Gary B Kaniuk, PsyD (Cermak Health Services)
Description: Part of the Oxford Library of Psychology series, this book explores cognitive engineering, which is the analysis of systems and/or workplaces to achieve institutional objectives.
Purpose: The book details contemporary cognitive engineering research, covering "human factors, human-computer interaction, and the conceptual foundations of cognitive engineering," while "also focusing on individual cognition, addressing topics of attention, decision making, and multitasking."
Audience: It is directed at researchers, students, and practitioners in cognitive engineering and related fields. John D. Lee is professor and director of the Cognitive Systems Laboratory at the University of Wisconsin, Madison, where he does research on safety and acceptance of human-machine systems. His coeditor, Alex Kirlik, a professor at the University of Illinois, Urbana-Champaign, researches human-technology systems in order to understand judgment, prediction, diagnosis, and decision-making. Contributors represent the United States, Scotland, Canada, Sweden, Israel, Australia, Germany, France, and The Netherlands.
Features: An introduction and a history of cognitive engineering, which can be traced back 30 years, begins the book. Part Two describes cognition in engineered systems. It notes that many factors must be considered to discover the stability of closed-loop systems. Attention in design is important in order to balance performance and workload. The authors address multitasking in order to be able to generalize laboratory results to the real world. Situation awareness is a construct that must be examined in order to better assist people in many different roles, such as drivers, air traffic controllers, or business executives. People who operate at high levels of expertise use extended working memory, anticipate future states, and improve deliberate practice, along with accompanying changes in the structure of the brain. Part Three explores cognitive engineering methods, including cognitive task analysis (CTA), cognitive work analysis (CWA), and decision-centered design. Decision-centered design can be broken down into five stages: preparation, knowledge elicitation, analysis and representation, application design, and evaluation. The book also discusses design technologies to aid older adults. Part Four covers cognitive engineering models. The authors address cognitive modeling within an interactive system, human-automation interaction, queuing networks, and judgment of human operators in a work environment. The book ends with chapters on cognitive technologies, including analogical and metaphorical representations, emergent phenomena and cognitive processes, and visual display techniques in relation to uncertainty information. Numerous figures and tables help clarify the research findings. Chapters use a fairly uniform format, with abstracts, key words, text, conclusions, future directions, and references.
Assessment: This is a fairly exhaustive handbook, covering 41 different topics in its 639 pages, that requires a background in cognitive engineering to get the most out of it. It is full of supporting research that reaches from the individual operator to systems and organizations, showing how technology influences performance. For individuals in this field, it is a tremendous reference.

Product Details

ISBN-13:
9780199757183
Publisher:
Oxford University Press
Publication date:
02/12/2013
Series:
Oxford Library of Psychology Series
Edition description:
New Edition
Pages:
658
Product dimensions:
7.30(w) x 9.90(h) x 1.70(d)

Related Subjects

Meet the Author

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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