Front cover image for The Oxford handbook of cognitive engineering

The Oxford handbook of cognitive engineering

This handbook is the first to provide comprehensive coverage of original state-of-the-science research, analysis, and design of integrated, human-technology systems.
Print Book, English, 2013
Oxford University Press, New York, 2013
639 Seiten
9780199757183, 0199757186
842493102
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