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.

Full Product Details

Author:   John D. Lee (Emerson Electric Professor, Emerson Electric Professor, Department of Industrial and Systems Engineering, University of Wisconsin, Madison, Madison, WI) ,  Alex Kirlik (Professor, Professor, Departments of Computer Science, Psychology, and Systems Engineering, University of Illinois at Urbana-Champaign, Urbana-Champaign, IL)
Publisher:   Oxford University Press Inc
Imprint:   Oxford University Press Inc
Dimensions:   Width: 25.40cm , Height: 4.30cm , Length: 18.80cm
Weight:   1.409kg
ISBN:  

9780199757183

ISBN 10:   0199757186
Pages:   658
Publication Date:   07 March 2013
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Part One: Cognitive Engineering: History and Foundations Introduction to the Handbook John D. Lee and Alex Kirlik Part Two: Cognition in Engineered Systems 1. The Closed-Loop Dynamics of Cognitive Work John M. Flach, Kevin Bennett, Richard J. Jagacinski, Max Mulder, and Rene van Paassen 2. Attention Christopher Wickens 3. Multitasking Dario D. Salvucci 4. Judgment and Prediction Kathleen L. Mosier 5. Situation Awareness Mica R. Endsley 6. Trust, Reliance, and Compliance Joachim Meyer and John D. Lee 7. Learning and Retention Frank E. Ritter, Gordon D. Baxter, Jong W. Kim, and Sowmyalatha Srinivasmurthy 8. Expertise Walter R. Boot and K. Anders Ericsson 9. Neuroergonomics: Brain-inspired Cognitive Engineering Raja Parasuraman 10. Communication in Socio-Technology Systems Daniel G. Morrow and Ute M. Fischer 11. Team Cognition: Coordination across Individuals and Machines Patricia Bockelman Morrow and Stephen M. Fiore 12. Organizational Design and Cognitive Work Pascale Carayon and Peter Hoonakker Part Three: Cognitive Engineering Methods 13. Cognitive Task Analysis Beth W. Crandall and Robert R. Hoffman 14. Cognitive Work Analysis Emilie M. Roth and Ann M. Bisantz 15. Decision-Centered Design Laura G. Militello and Gary Klein 16. Situation Awareness Oriented Design Mica R. Endsley 17. Cognitive Engineering to Support Successful Aging Wendy A. Rogers, Marita A. O'Brien, and Arthur D. Fisk 18. Artifact Analysis as a Way to Understand Cognition Christopher P. Nemeth and Richard I. Cook 19. Evaluation: Does the Cognitive Engineering Effort Do What It Was Envisioned to Do? Leonard Adelman 20. Microworld Experimentation with Teams Nancy J. Cooke and Jamie C. Gorman 21. Simulation to Assess Human Responses to Critical Events L. Jane Easdown, Arna Banerjee, and Mathew B. Weinger 22. Simulation to Assess Safety in Complex Work Environments Amy R. Pritchett 23. Metrics for Supervisory Control System Evaluation M.L. Cummings and Birsen Donmez 24. Multi-tasking and Multi-Robot Management Michael A. Goodrich 25. Human-Machine Cooperation Jean-Michel Hoc 26. Learning from Failure Daniel Hummerdal, Alexander Wilhelmsson, and Sidney Dekker Part Four: Cognitive Engineering Models 27. Computational Cognitive Modeling of Interactive Performance Michael D. Byrne 28. Computational Process Modeling and Cognitive Stressors: Background and Prospects for Application in Cognitive Engineering Kevin A. Gluck and Glenn Gunzelmann 29. Modeling and Formal Analysis of Human-Machine Interaction Asaf Degani, Michael Heymann, and Michael Shafto 30. Queuing and Network Models Yili Liu 31. Bayesian and Signal Detection Models Jason S. McCarley and Aaron S. Benjamin 32. Judgment Analysis Alex Kirlik 33. Modeling Decision Heuristics Konstantinos V. Katsikopoulos and Gerd Gigerenzer 34. Establishing the Micro-to-Macro Link in Cognitive Engineering: Multilevel Models of Socio-Computer Interaction Wai-Tat Fu and Peter Pirolli Part Five: Cognitive Technologies in Engineered Systems 35. Configural and Pictorial Displays Kevin B. Bennett and John M. Flach 36. Emergence in Organizations and Human Collective Intelligence Stephen J. Guastello 37. Multimodal Displays: Conceptual Basis, Design Guidance, and Research Needs Nadine Sarter 38. Ecological Interfaces Catherine M. Burns 39. Uncertainty Visualization and Related Techniques Ann M. Bisantz 40. Adaptive Automation David B. Kaber 41. Distributed Communities of Practice Anna T. Cianciolo & Karen M. Evans

Reviews

<br> 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. -- DOODY'S<br><p><br>

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. -- DOODY'S

""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."" -- DOODY'S

...a tremendous reference. Doody's Notes, July 2013

...a tremendous reference. * Doody's Notes, July 2013 * The authors present their material in a clear and concise manner, which will be well received by those who are looking to brush up on a particular subject. ... An ideal encyclopaedia on cognitive engineering, and hence a useful resource for work design and human factors courses. * The Psychologist *

Author Information

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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