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

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Overview

For today's knowledge workers, computer displays, from the desktop to the cockpit, provide the lens through which the work environment is known. Lacking a scientific foundation to systematically analyze and model these situations, it is hardly surprising that many workers complain of "information overload, " while others complain of the difficulty of maintaining "situation awareness."

Most research attempting to address these problems has resulted in largely qualitative frameworks such as cognitive systems engineering, naturalistic decision making, distributed and embodied cognition, cognitive work analysis, and resilience engineering. In contrast, the research reflected in this book revives the ideas of a pioneering psychological theorist, Egon Brunswik, who was ahead of his time in calling attention to the need to rigorously investigate cognition in representatively designed experiments, and to formally model the causal dependencies spanning across integrated, human-environment systems.

This research also significantly extends Brunswik's original concepts, often drawing upon modem cognitive-ecological approaches such as Gigerenzer's ecological rationality and Anderson's rational analysis. The quantitative models presented in this book are typically diagnostic of both breakdowns in human-technology interaction and design or training interventions addressing these breakdowns. This book will be of interest to researchers, students, and practitioners in cognitive science and engineering, human factors, human-computer interaction, judgment and decision making and sociotechnical systems.

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Editorial Reviews

From the Publisher
". . . Not only does Brunswik's analysis provide a coherent way to think about the problems of perception, mind, environment, and adaptation, but in a sense, Brunswik gets the last theoretical laugh in one of psychology's oldest arguments. The book is an indispensable guide to an emerging theoretical consensus on embedded human-machine systems." —Stuart Card, Senior Research Fellow, Xerox PARC

". . . The book is a tour de force that demonstrates the broad applicability of the Brunswikian tradition, captures a very wide range of domains, and introduces substantial advances in both theory and methodology. Although I have not been steeped in this tradition, I came away with a deep respect for what it can add to our perspectives and to our armamentarium of research and development tools." —Richard W. Pew, Principal Scientist, BBN Technologies

". . . First rate authors applying models of human judgment to design of complex automated systems." —Thomas B. Sheridan, Ford Professor of Engineering and Applied Psychology Emeritus, Massachusetts Institute of Technology

"This is a very fine book that shows how the ideas of Brunswik can be applied to understanding the interface between cognition and technology. Brunswik's seminal ideas have not gotten the recognition they deserve, and this book helps remind us all of just how important they are." —Robert J. Sternberg, IBM Professor of Psychology and Education, Professor of Management, and Director of the Center for the Psychology of Abilities, Competencies, and, Expertise (PACE Center), Yale University

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Product Details

  • ISBN-13: 9780195374827
  • Publisher: Oxford University Press, USA
  • Publication date: 10/1/2009
  • Series: Human Technology Interaction Series
  • Pages: 336
  • Product dimensions: 6.80 (w) x 9.90 (h) x 0.70 (d)

Meet the Author

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.

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Table of Contents

Foreword (K. R. Hammond)
Contributors (List with Affiliations)
Part I: Background and Motivation
Chapter 1. Cognitive engineering: Toward a workable concept of mind (Kirlik)
Chapter 2. Introduction to Brunswikian theory and method (Goldstein)
Part II: Technological Interfaces
Part II Introduction (Kirlik)
Chapter 3. Knowledge versus execution in dynamic judgment tasks (Bisantz, Kirlik, Gay, Walker & Fisk)
Chapter 4. The effects of computer displays and time pressure on the performance of distributed teams (Adelman, Yeo & Miller)
Chapter 5. Supporting situation assessment through attention guidance and diagnostic aiding: The benefits and costs of display enhancement on judgment skill (Horrey, Wickens, Kirlik & Stewart)
Chapter 6. Applying the multivariate lens model to fault diagnosis (Jha & Bisantz)
Part III: Alerting Automation and Decision Aids
Part III Introduction (Kirlik)
Chapter 7. Measuring the fit between human judgment and alerting systems: A study of collision detection in aviation (Pritchett & Bisantz)
Chapter 8. Trust, decision aiding, and feedback: An integrated approach. (Seong, Bisantz & Gattie)
Chapter 9. Human-automated judgment learning: Enhancing interaction with automated judgment systems (Bass & Pritchett)
Part IV : Alternatives to Compensatory Modeling
Part IV Introduction (Kirlik)
Chapter 10. Inferring fast and frugal heuristics from human judgment data (Rothrock & Kirlik)
Chapter 11. Viewing training through a fuzzy lens (Campbell, Buff & Bolton)
Chapter 12. Achieving coherence: Meeting new cognitive demands in technological systems (Mosier & McCauley)
Part V: Into the Field: Vicarious Functioning in Action
Part V Introduction (Kirlik)
Chapter 13.What makes vicarious functioning work? Exploring the geometry of human-technology interaction (Degani, Shafto & Kirlik)
Chapter 14. Understanding the determinants of adaptive behavior in a modern airline cockpit (Casner)
Chapter 15. Abstracting situated action: Implications for cognitive modeling and interface design (Kirlik)
Part VI: Ecological Analysis Meets Cognitive Modeling
Part VI Introduction (Kirlik)
Chapter 16. The emerging rapprochement between cognitive and ecological analyses (Gray)
Chapter 17. The use of proximal information scent to forage for distal content on the World Wide Web (Pirolli)
Chapter 18 Kilograms matter: Rational analysis, ecological rationality, and closed-loop modeling of interactive cognition and behavior (Byrne, Kirlik & Fick)
Part VII: Reflections and Future Directions
Chapter 19. Reflections from a judgment & decision making perspective (Connolly)
Chapter 20. Reflections from a cognitive engineering & human factors perspective (Vicente)
Author Index
Subject Index
Back Matter

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