About the Book
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.
Table of Contents:
Foreword: K.R. Hammond:
Part I Background and Motivation:
1: Kirlik: Cognitive Engineering: Toward a Workable Concept of Mind
2: Goldstein: Introduction to Brunswikian Theory and Method
Part II Technological Interfaces:
Part II Introduction: Kirlik:
3: Bisantz, Kirlik, Gay, Walker & Fisk: Knowledge Versus Execution in Dynamic Judgment Tasks
4: Adelman, Yeo & Miller: The Effects of Computer Displays and Time Pressure on the Performance of Distributed Teams
5: Horrey, Wickens, Kirlik & Stewart: Supporting Situation Assessment Through Attention Guidance and Diagnostic Aiding: The Benefits and Costs of Display Enhancement on Judgment Skill
6: Jha & Bisantz: Applying the Multivariate Lens Model to Fault Diagnosis
Part III Altering Automation and Decision Aids:
Part III Introduction: Kirlik:
7: Pritchett & Bisantz: Measuring the Fit Between Human Judgment and Alerting Systems: A Study of Collision Detection in Aviation
8: Seong, Bisantz & Gattie: Trust, Decision Aiding, and Feedback: An Integrated Approach
9: Bass & Pritchett: Human-automated Judgment Learning: Enhancing Interaction with Automated Judgment Systems
Part IV Alternatives to Compensatory Modeling:
Part IV Introduction: Kirlik:
10: Rothrock & Kirlik: Inferring Fast and Frugal Heuristics from Human Judgment Data
11: Campbell, Buff & Bolton: Viewing Training Through a Fuzzy Lens
12: Mosier & McCauley: Achieving Coherence: Meeting New Cognitive Demands in Technological Systems
Part V Into the Field: Vicarious Functioning in Action:
Part V Introduction: Kirlik:
13: Degani, Shafto & Kirlik: What Makes Vicarious Functioning Work? Exploring the Geometry of Human-Technology Interaction
14: Casner: Understanding the Determinants of Adaptive Behavior in a Modern Airline Cockpit
15: Kirlik: Abstracting Situated Action: Implications for Cognitive Modeling and Interface Design
Part VI Ecological Analysis Meets Cognitive Modeling:
Part VI Introduction: Kirlik:
16: Gray: The Emerging Reapproachment Between Cognitive and Ecological Analyses
17: Pirolli: The Use of Proximal Information Scent to Forage for Distal Content on the World Wide Web
18: Byrne, Kirlik & Fick: Kilograms Matter: Rational Analysis, Ecological Rationality, and Closed-loop Modeling of Interactive Cognition and Behavior
Part VII Reflections and Future Directions:
19: Connolly: Reflections from a Judgment & Decision Making Perspective
20: Vicente: Reflections from a Cognitive Engineering & Human Factors Perspective
Author Index
Subject Index
About the Author :
Alex Kirlik 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.
Review :
". . . 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
". . . 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
