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Zusatztext ...a tremendous reference. Informationen zum Autor 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. Klappentext This handbook is the first to provide comprehensive coverage of original state-of-the-science research, analysis, and design of integrated, human-technology systems. Zusammenfassung This handbook is the first to provide comprehensive coverage of original state-of-the-science research, analysis, and design of integrated, human-technology systems. Inhaltsverzeichnis 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 ...
