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E-grāmata: Adaptive Perspectives on Human-Technology Interaction: Methods and Models for Cognitive Engineering and Human-Computer Interaction

(Professor of Human Factors, Industrial Engineering, and Psychology, University of Illinois)
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In everyday life, and particularly in the modern workplace, information technology and automation increasingly mediate, augment, and sometimes even interfere with how humans interact with their environment. How to understand and support cognition in human-technology interaction is both a practically and socially relevant problem. The chapters in this volume frame this problem in adaptive terms: How are behavior and cognition adapted, or perhaps ill-adapted, to the demands and opportunities of an environment where interaction is mediated by tools and technology? The authors draw heavily on the work of Egon Brunswik, a pioneer in ecological and cognitive psychology, as well as on modern refinements and extensions of Brunswikian ideas, including Hammond's Social Judgment Theory, Gigerenzer's Ecological Rationality and Anderson's Rational Analysis. Inspired by Brunswik's view of cognition as "coming to terms" with the "casual texture" of the external world, the chapters in this volume provide quantitative and computational models and measures for studying how people come to terms with an increasingly technological ecology, and provide insights for supporting cognition and performance through design, training, and other interventions. The methods, models, and measures presented in this book provide timely and important resources for addressing problems in the rapidly growing field of human-technology interaction. The book will be of interest to researchers, students, and practitioners in human factors, cognitive engineering, human-computer interaction, judgment and decision making, and cognitive science.

Please visit this website for additional materials:

http://www.humanfactors.illinois.edu/resources/OtherResourses/Len sModel.aspx
Foreword vii
K. R. Hammond
Contributors xv
I Background and Motivation
Cognitive Engineering: Toward a Workable Concept of Mind
3(7)
Alex Kirlik
Introduction to Brunswikian Theory and Method
10(17)
William M. Goldstein
II Technological Interfaces
Introduction
27(2)
Alex Kirlik
Knowledge versus Execution in Dynamic Judgment Tasks
29(14)
Ann M. Bisantz
Alex Kirlik
Neff Walker
Arthur D. Fisk. Paul Gay
Donita Phipps
Understanding the Effects of Computer Displays and Time Pressure on the Performance of Distributed Team
43(12)
Leonard Adelman
Cedric Yeo
Sheryl L. Miller
Supporting Situation Assessment through Attention Guidance and Diagnostic Aiding: The Benefits and Costs of Display Enhancement on Judgment Skill
55(16)
William J. Horrey
Christopher D. Wickens
Richard Strauss
Alex Kirlik
Thomas R. Stewart
Applying the Multivariate Lens Model to Fault Diagnosis
71(18)
Pratik D. Jha
Ann M. Bisantz
III Automation and Decision Aiding
Introduction
89(2)
Alex Kirlik
Measuring the Fit between Human Judgments and Alerting Systems: A Study of Collision Detection in Aviation
91(14)
Amy R. Pritchett
Ann M. Bisantz
Trust, Automation, and Feedback: An Integrated Approach
105(9)
Younho Seong
Ann M. Bisantz
Gordon J. Gattie
Human---Automated Judgment Learning: Enhancing Interaction with Automated Judgment Systems
114(15)
Ellen J. Bass
Amy R. Pritchett
IV Alternatives to Compensatory Modeling
Introduction
129(2)
Alex Kirlik
Inferring Fast and Frugal Heuristics from Human Judgment Data
131(18)
Ling Rothrock
Alex Kirlik
Viewing Training through a Fuzzy Lens
149(14)
Gwendolyn E. Campbell
Wendi L. Van Buskirk
Amy E. Bolton
Achieving Coherence: Meeting New Cognitive Demands in Technological Systems
163(14)
Kathleen L. Mosier
Shane T. McCauley
V Into the Field: Vicarious Functioning in Action
Introduction
177(2)
Alex Kirlik
What Makes Vicarious Functioning Work? Exploring the Geometry of Human---Technology Interaction
179(18)
Asaf Degani
Michael Shafto
Alex Kirlik
Understanding the Determinants of Adaptive Behavior in a Modern Airline Cockpit
197(15)
Stephen M. Casner
Abstracting Situated Action: Implications for Cognitive Modeling and Interface Design
212(15)
Alex Kirlik
VI Ecological Analysis Meets Computational Cognitive Modeling
Introduction
227(3)
Alex Kirlik
The Emerging Rapprochement between Cognitive and Ecological Analyses
230(17)
Wayne D. Gray
The Use of Proximal Information Scent to Forage for Distal Content on the World Wide Web
247(20)
Peter Pirolli
Kilograms Matter: Rational Analysis, Ecological Rationality, and Closed-Loop Modeling of Interactive Cognition and Behavior
267(20)
Michael D. Byrne
Alex Kirlik
Chris S. Fick
VII Reflections and Future Directions
Reflections from a Judgment and Decision Making Perspective
287(5)
Terry Connolly
Reflections from a Cognitive Engineering and Human Factors Perspective
292(5)
Kim J. Vicente
Name Index 297(6)
Subject Index 303
Teaches Human Factors, Industrial Engineering, and Psychology at the University of Illinois at Urbana-Champaign, where he is also a member of the Beckman Institute for Advanced Science and Technology.