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

ISBN 10: 0195374827 / ISBN 13: 9780195374827

Edité par Oxford University Press, 2009

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Détails bibliographiques

• Titre: Adaptive Perspectives on Human-Technology Interaction: Methods and Models for Cognitive Engineering and Human-Computer Interaction (Human Technology Interaction Series)
• Éditeur: Oxford University Press
• Date de parution: 2009
• Langue: anglais
• ISBN à 10 chiffres: 0195374827
• ISBN à 13 chiffres: 9780195374827
• Reliure: paperback
• État de l'article: Very Good

A propos de ce titre

Synopsis

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/LensModel.aspx

À propos de l?auteur

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.