The Oxford Handbook of Cognitive Engineering

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.

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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.

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Editorial Reviews

Doody's Review Service
Reviewer: Gary B Kaniuk, Psy.D.(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.
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Product Details

  • ISBN-13: 9780199757183
  • Publisher: Oxford University Press
  • Publication date: 2/12/2013
  • 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)

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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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

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