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E-grāmata: Oxford Handbook of Cognitive Engineering [Oxford Handbooks Online E-books]

Edited by (Professor, Departments of Computer Science, Psychology, and Systems Engineering, University of Illinois at U), Edited by (Emerson Electric Professor, Department of Industrial and Systems Engineering, University of Wisconsin, Madison, Madison, WI)
  • Formāts: 658 pages
  • Sērija : Oxford Library of Psychology
  • Izdošanas datums: 07-Mar-2013
  • Izdevniecība: Oxford University Press Inc
  • ISBN-13: 9780199971466
  • Oxford Handbooks Online E-books
  • Cena pašlaik nav zināma
  • Formāts: 658 pages
  • Sērija : Oxford Library of Psychology
  • Izdošanas datums: 07-Mar-2013
  • Izdevniecība: Oxford University Press Inc
  • ISBN-13: 9780199971466
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.
Part One Cognitive Engineering: History and Foundations
Introduction to the Handbook
3(16)
John D. Lee
Alex Kirlik
Part Two Cognition in Engineered Systems
1 The Closed-Loop Dynamics of Cognitive Work
19(17)
John M. Flach
Kevin B. Bennett
Richard J. Jagacinski
Max Mulder
Rene van Paassen
2 Attention
36(21)
Christopher D. Wickens
3 Multitasking
57(11)
Dario D. Salvucci
4 Judgment and Prediction
68(20)
Kathleen L. Mosier
5 Situation Awareness
88(21)
Mica R. Endsley
6 Trust, Reliance, and Compliance
109(16)
Joachim Meyer
John D. Lee
7 Learning and Retention
125(18)
Frank E. Ritter
Gordon D. Baxter
Jong W. Kim
Sowmyalatha Srinivasmurthy
8 Expertise
143(16)
Walter R. Boot
K. Anders Ericsson
9 Neuroergonomics: Brain-Inspired Cognitive Engineering
159(19)
Raja Parasuraman
10 Communication in Socio-Technical Systems
178(22)
Daniel G. Morrow
Ute M. Fischer
11 Team Cognition: Coordination across Individuals and Machines
200(16)
Patricia Bockelman Morrow
Stephen M. Fiore
12 Organizational Design and Cognitive Work
216(13)
Pascale Carayon
Peter Hoonakker
Part Three Cognitive Engineering Methods
13 Cognitive Task Analysis
229(11)
Beth W. Crandall
Robert R. Hoffman
14 Cognitive Work Analysis
240(21)
Emilie M. Roth
Ann M. Bisantz
15 Decision-Centered Design
261(11)
Laura G. Militello
Gary Klein
16 Situation Awareness-Oriented Design
272(14)
Mica R. Endsley
17 Cognitive Engineering to Support Successful Aging
286(16)
Wendy A. Rogers
Marita A. O'Brien
Arthur D. Fisk
18 Artifact Analysis as a Way to Understand Cognition
302(13)
Christopher P. Nemeth
Richard I. Cook
19 Evaluation: Does the Cognitive Engineering Effort Do What It Was Envisioned to Do?
315(12)
Leonard Adelman
20 Microworld Experimentation with Teams
327(9)
Nancy J. Cooke
Jamie C. Gorman
21 Simulation to Assess Human Responses to Critical Events
336(16)
L. Jane Easdown
Arna Banerjee
Matthew B. Weinger
22 Simulation to Assess Safety in Complex Work Environments
352(15)
Amy R. Pritchett
23 Metrics for Supervisory Control System Evaluation
367(12)
Mary L. Cummings
Birsen Donmez
24 Multitasking and Multi-Robot Management
379(16)
Michael A. Goodrich
25 Human-Machine Cooperation
395(9)
Jean-Michel Hoc
26 Learning from Failure
404(11)
Daniel Hummerdal
Alexander Wilhelmsson
Sidney Dekker
Part Four Cognitive Engineering Models
27 Computational Cognitive Modeling of Interactive Performance
415(9)
Michael D. Byrne
28 Computational Process Modeling and Cognitive Stressors: Background and Prospects for Application in Cognitive Engineering
424(9)
Kevin A. Gluck
Glenn Gunzelmann
29 Modeling and Formal Analysis of Human-Machine Interaction
433(16)
Asaf Degani
Michael Heymann
Michael Shafto
30 Queuing and Network Models
449(16)
Yili Liu
31 Bayesian and Signal Detection Models
465(11)
Jason S. McCarley
Aaron S. Benjamin
32 Judgment Analysis
476(14)
Alex Kirlik
33 Modeling Decision Heuristics
490(11)
Konstantinos V. Katsikopoulos
Gerd Gigerenzer
34 Establishing the Micro-to-Macro Link in Cognitive Engineering: Multilevel Models of Socio-Computer Interaction
501(16)
Wai-Tat Fu
Peter Pirolli
Part Five Cognitive Technologies in Engineered Systems
35 Configural and Pictorial Displays
517(17)
Kevin B. Bennett
John M. Flach
36 Emergence in Organizations and Human Collective Intelligence
534(22)
Stephen J. Guastello
37 Multimodal Displays: Conceptual Basis, Design Guidance, and Research Needs
556(10)
Nadine B. Sarter
38 Ecological Interfaces
566(13)
Catherine M. Burns
39 Uncertainty Visualization and Related Techniques
579(15)
Ann M. Bisantz
40 Adaptive Automation
594(16)
David B. Kaber
41 Distributed Communities of Practice
610(13)
Anna T. Cianciolo
Karen M. Evans
Index 623
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.