Книга Adaptive Perspectives on Human-Technology Interaction Alex Kirlik

Adaptive Perspectives on Human-Technology Interaction

Methods and Models for Cognitive Engineering and Human-Computer Interaction

Автор: Alex Kirlik
Език: Английски език
Корици: С твърди корици
Издател: Oxford University Press Inc
Наличност: Налично при издателя, по поръчка
Изпращаме след 28-34 дни
96.47 188.68 лв
In everyday life, and particularly in the modern workplace, information technology and automation in...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С твърди корици
Издадена
2006
страници
336
EAN
9780195171822
ISBN
0195171829
Enbook ID
04516270
Теглоt
820
Размери
257 x 185 x 23

Пълно описание

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 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 "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 measures presented in this book provide timely and important resources for addressing problems in the rapidly growing field of human-technology interaction.

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