The Oxford Handbook of Cognitive Engineering

Hardcover | February 22, 2013

EditorJohn D. Lee, Alex Kirlik

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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 informationtechnology 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-computerinteraction, 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 approachspeaks 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 incognitive 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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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 informationtechnology and automation, it is more important tha...

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 Il...

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Format:HardcoverDimensions:672 pages, 10 × 7 × 0.98 inPublished:February 22, 2013Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199757186

ISBN - 13:9780199757183

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Table of Contents

Part One: Cognitive Engineering: History and FoundationsJohn D. Lee and Alex Kirlik: Introduction to the HandbookPart Two: Cognition in Engineered Systems1. John M. Flach, Kevin Bennett, Richard J. Jagacinski, Max Mulder, and Rene van Paassen: The Closed-Loop Dynamics of Cognitive Work2. Christopher Wickens: Attention3. Dario D. Salvucci: Multitasking4. Kathleen L. Mosier: Judgment and Prediction5. Mica R. Endsley: Situation Awareness6. Joachim Meyer and John D. Lee: Trust, Reliance, and Compliance7. Frank E. Ritter, Gordon D. Baxter, Jong W. Kim, and Sowmyalatha Srinivasmurthy: Learning and Retention8. Walter R. Boot and K. Anders Ericsson: Expertise9. Raja Parasuraman: Neuroergonomics: Brain-inspired Cognitive Engineering10. Daniel G. Morrow and Ute M. Fischer: Communication in Socio-Technology Systems11. Patricia Bockelman Morrow and Stephen M. Fiore: Team Cognition: Coordination across Individuals and Machines12. Pascale Carayon and Peter Hoonakker: Organizational Design and Cognitive WorkPart Three: Cognitive Engineering Methods13. Beth W. Crandall and Robert R. Hoffman: Cognitive Task Analysis14. Emilie M. Roth and Ann M. Bisantz: Cognitive Work Analysis15. Laura G. Militello and Gary Klein: Decision-Centered Design16. Mica R. Endsley: Situation Awareness Oriented Design17. Wendy A. Rogers, Marita A. O'Brien, and Arthur D. Fisk: Cognitive Engineering to Support Successful Aging18. Christopher P. Nemeth and Richard I. Cook: Artifact Analysis as a Way to Understand Cognition19. Leonard Adelman: Evaluation: Does the Cognitive Engineering Effort Do What It Was Envisioned to Do?20. Nancy J. Cooke and Jamie C. Gorman: Microworld Experimentation with Teams21. L. Jane Easdown, Arna Banerjee, and Mathew B. Weinger: Simulation to Assess Human Responses to Critical Events22. Amy R. Pritchett: Simulation to Assess Safety in Complex Work Environments23. M.L. Cummings and Birsen Donmez: Metrics for Supervisory Control System Evaluation24. Michael A. Goodrich: Multi-tasking and Multi-Robot Management25. Jean-Michel Hoc: Human-Machine Cooperation26. Daniel Hummerdal, Alexander Wilhelmsson, and Sidney Dekker: Learning from FailurePart Four: Cognitive Engineering Models27. Michael D. Byrne: Computational Cognitive Modeling of Interactive Performance28. Kevin A. Gluck and Glenn Gunzelmann: Computational Process Modeling and Cognitive Stressors: Background and Prospects for Application in Cognitive Engineering29. Asaf Degani, Michael Heymann, and Michael Shafto: Modeling and Formal Analysis of Human-Machine Interaction30. Yili Liu: Queuing and Network Models31. Jason S. McCarley and Aaron S. Benjamin: Bayesian and Signal Detection Models32. Alex Kirlik: Judgment Analysis33. Konstantinos V. Katsikopoulos and Gerd Gigerenzer: Modeling Decision Heuristics34. Wai-Tat Fu and Peter Pirolli: Establishing the Micro-to-Macro Link in Cognitive Engineering: Multilevel Models of Socio-Computer InteractionPart Five: Cognitive Technologies in Engineered Systems35. Kevin B. Bennett and John M. Flach: Configural and Pictorial Displays36. Stephen J. Guastello: Emergence in Organizations and Human Collective Intelligence37. Nadine Sarter: Multimodal Displays: Conceptual Basis, Design Guidance, and Research Needs38. Catherine M. Burns: Ecological Interfaces39. Ann M. Bisantz: Uncertainty Visualization and Related Techniques40. David B. Kaber: Adaptive Automation41. Anna T. Cianciolo and Karen M. Evans: Distributed Communities of Practice