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The Oxford Handbook of Cognitive Engineering (Oxford Library of Psychology)


The Oxford Handbook of Cognitive Engineering (Oxford Library of Psychology) Cover


Synopses & Reviews

Publisher Comments:

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.

About 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.

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 and Karen M. Evans

Product Details

Lee, John D., Professor
Oxford University Press, USA
Lee, John D.
Kirlik, Alex
Psychology-Cognitive Science
Cognitive Psychology
PSYCHOLOGY / Cognitive Psychology
ology | Cognitive Psychology
Publication Date:
7.4 x 10 x 1.7 in 2.85 lb

Related Subjects

Health and Self-Help » Health and Medicine » Medical Specialties
Health and Self-Help » Psychology » Cognitive Science
Science and Mathematics » Physics » General

The Oxford Handbook of Cognitive Engineering (Oxford Library of Psychology) New Hardcover
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Product details 658 pages Oxford University Press, USA - English 9780199757183 Reviews:
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