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 behaviour and cognition adapted, or perhaps ill-adapted, to the demands andopportunities 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 Hammonds Social Judgment Theory,Gigerenzers Ecological Rationality and Andersons Rational Analysis. Inspired by Brunswiks view of cognition as coming to terms with the causal 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 measurespresented in this book provide timely and important resources for addressing problems in the rapidly growing field of human-technology interaction.
Foreword; Part I Background and Motivation; Cognitive Engineering: Toward a Workable Concept of Mind; Introduction to Brunswikian Theory and Method; ; Part II Technological Interfaces; Knowledge versus Execution in Dynamic Judgment Tasks; Understanding the Effects of Computer Displays and Time Pressure on the Performance of Distributed Teams; Supporting Situation Assessment through Attention Guidance and Diagnostic Aiding: The Benefits and Costs of Display Enhancement on Judgment Skill; Applying the Multivariate Lens Model to Fault Diagnosis; Part III Automation and Decision Aiding; Measuring the Fit between Human Judgments and Alerting Systems: A Study of Collision Detection in Aviation; Trust, Automation, and Feedback: An Integrated Approach; Human-Automated Judgment Learning: Enhancing Interaction with Automated Judgment Systems; Part IV Alternatives to Compensatory Modeling; Inferring Fast and Frugal Heuristics from Human Judgment Data; Viewing Training Through a Fuzzy Lens; Achieving Coherence: Meeting New Cognitive Demands in Technological Systems; Part V Into the Field: Vicarious Functioning in Action; What Makes Vicarious Functioning Work? Exploring the Geometry of Human-Technology Interaction; Understanding the Determinants of Adaptive Behavior in a Modern Airline Cockpit; Abstracting Situated Action: Implications for Cognitive Modeling and Interface Design; Part VI Ecological Analysis Meets Computational Cognitive Modeling; The Emerging Reapproachment Between Cognitive and Ecological Analyses; The Use of Proximal Information Scent to Forage for Distal Content on the World Wide Web; Kilograms Matter: Rational Analysis, Ecological Rationality, and Closed-Loop Modeling of Interactive Cognition and Behavior; Part VII Reflections and Future Directions; Reflections from a Judgment and Decision Making Perspective; Reflections from a Cognitive Engineering & Human Factors Perspective;
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