This handbook is the first to provide comprehensive coverage of original state-of-the-science research, analysis, and design of integrated, human-technology systems.
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.

Oxford Library of Psychology vii

About the Editors ix

Contributors xi

Table of Contents xv

Chapters 1-622

Index 623

Part One Cognitive Engineering: History and Foundations

Introduction to the Handbook 03

John D. Lee and Alex Kirlik

Part Two Cognition in Engineered Systems

1. The Closed-Loop Dynamics of Cognitive Work 19

Jobn M. Flach, Kevin B. Bennett Richard J. Jagacinski, Max Mulder,and Rene van Paassen

2. Attention 36

Christopher D. Wickens

3. Multitasking 57

Dario D. Salvucci

4. Judgment and Prediction 68

Kathleen L. Mosier

5. Situation Awareness 88

Mica R. Endsley

6. Trust, Reliance, and Compliance 109

Joachim Meyer and Jokn D. Lee

7. Learning and Retention 125

Frank E. Ritter, Gordon D. Baxter, Jong W. Kin, and Sowmyalatha Srinivasmurthy

8. Expertise 143

Walter R. Boot and K. Anders Ericsson

9. Neuroergonomics: Brain-Inspired Cognitive Engineering 159

Raja Parasuraman

10. Communication in Socio-Technical Systems 178

Daniel G. Morrow and Ute M. Fischer

11. Team Cognition: Coordination across Individuals and Machines 200

Patricia Bockelman Morrow and Stephen M. Fiore

12. Organizational Design and Cognitive Work 216

Pascale Carayon and Peter Hoonakker

Part Three Cognitive Engineering Methods

13. Cognitive Task Analysis 229

Beth W. Crandall and Robert R. Hoffman

14. Cognitive Work Analysis 240

Emilie M. Roth and Ann M. Bisantz

15. Decision-Centered Design 261

Laura G. Militello and Gary Klein

16. Situation Awareness-Oriented Design 272

Mica R. Endsley

17. Cognitive Engineering to Support Successful Aging 286

Wendy A. Rogers, Marita A. O'Brien, and Arthur D. Fisk

18. Artifact Analysis as a Way to Understand Cognition 302

Christopher P. Nemeth and Richard I. Cook

19. Evaluation: Does the Cognitive Engineering Effort Do What It Was Envisioned to Do? 315

Leonard Adelman

20. Microworld Experimentation with Teams 327

Nancy J. Cooke and Jamie C. Gorman

21. Simulation to Assess Human Responses to Critical Events 336

L. Jane Easdown, Arna Banerjee, and Matthew B. Weinger

22. Simulation to Assess Safety in Complex Work Environments 352

Amy R. Pritchett

23. Metrics for Supervisory Control System Evaluation 367

Mary L. Cummings and Birsen Donmez

24. Multitasking and Multi-Robot Management 379

Michael A. Goodrich

25. Human-Machine Cooperation 395

Jean-Michel Hoc

26. Learning from Failure 404

Daniel Hummerdal, Alexander Wilhelmsson, and Sidney Dekker

Part Four Cognitive Engineering Models

27. Computational Cognitive Modeling of Interactive Performance 415

Michael D. Byrne

28. Computational Process Modeling and Cognitive Stressors: Background and Prospects for Application in Cognitive Engineering 424

Kevin A. Gluck and Glenn Gunzelmann

29. Modeling and Formal Analysis of Human-Machine Interaction 433

Asaf Degani, Michael Heymann, and Michael Shafto

30. Queuing and Network Models 449

Yili Liu

31. Bayesian and Signal Detection Models 465

Jason S. McCarley and Aaron S. Benjamin

32. Judgment Analysis 476

Alex Kirlik

33. Modeling Decision Heuristics 490

Konstantinos V. Katsikopoulos and Gerd Gigerenzer

34. Establishing the Micro-to-Macro Linkin Cognitive Engineering: Multilevel Models of Socio-Computer Interaction 501

Wai-Tat Fu and Peter Pirolli

Part Five Cognitive Technologies in Engineered Systems

35. Configural and Pictorial Displays 517

Kevin B. Bennett and Jokn M. Flach

36. Emergence in Organizations and Human Collective Intelligence 534

Stephen J. Guastello

37. Multimodal Displays：Conceptual Basis， Design Guidance， and Research Needs 556

Nadine B. Sarter

38. Ecological Interfaces 566

Catherine M. Burns

39. Uncertainty Visualization and Related Techniques 579

Ann M. Bisantz

40. Adaptive Automation 594

David B. Kaber

41. Distributed Communities of Practice 610

Anna T. Cianciolo and Karen M. Evans

Index 623

Alex Kirlik PA\Alex Kirlik is professor in the Departments of Computer Science, Psychology, and Systems Engineering and a member of the Beckman Institute at the University of Illinois at Urbana-Champaign. He previously served as Coordinator of Cognitive Science Academic Programs at Georgia Institute of Technology and as Head of Human Factors at Illinois. He is the editor of Adaptive Perspectives on Human-Technology Interaction (Oxford, 2006) , co-editor of Attention: From Theory to Practice (Oxford, 2008), and editor of Human-Tech (Oxford,2011) . His engineering research focuses on the design of collaborative human-technology systems to leverage mathematical models and human expertise in cognitive tasks such as judgment, prediction, diagnosis, and dec ii on making. He is a member of the editorial boards of the journals Human Factors and Cognitive Engineering and Decision Making and has served as editor of the Oxford Series in Human-Technology Interaction since it since p-tion in 2006.

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