Machine generated contents note:
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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The Oxford handbook of cognitive engineering. ISBN 9780199757183. Published by Oxford University Press in 2013. Publication and catalogue information, links to buy online and reader comments.
