Information Foraging Theory

Information Foraging Theory : Adaptive Interaction with Information

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Much of the hubris and hyperbole surrounding the 1990s internet has softened to a reasonable level, but the momentum of information growth continues unabated. Although this wealth of information provides resources for dealing with the problems posed by our increasingly complex world, the availability of more information does not guarantee that it can be successfully transformed into valuable knowledge that shapes, guides, and improves our lives. When we try to use traditional research models to analyse what people do to make sense of the huge amount of information available on the web, they tell us a lot about learning and performance with browser operations, but very little about how people will actively navigate and search through information structures, what information they will choose to consume, and what conceptual models they will form about the landscape of cyberspace. Thus, it is fortunate that there is a new field of research, Adaptive Information Interaction (AII), that centres on the problems of understanding and improving human-information interaction. All is about how people will best shape themselves to their information environments, and how information environments can best be shaped to people. Its roots lie in human-computer interaction (HCI), information retrieval, and the behavioural and social sciences. This book is about Information Foraging Theory (IFT), a new theory in Adaptive Information Interaction. Information Foraging Theory is one example of a recent flourish of theories in adaptationist psychology that draw upon evolutionary-ecology theory in biology. IFT assumes that people are ecologically rational, and that human information-seeking mechanisms and strategies adapt the structure of the information environments in which they operate. Its main aim is to create technology that is better shaped to more

Product details

  • Hardback | 204 pages
  • 185.4 x 254 x 22.9mm | 635.04g
  • Oxford University Press Inc
  • New York, United States
  • English
  • 2 halftones, 94 line illustrations
  • 0195173325
  • 9780195173321
  • 2,005,228

Review quote

"This book significantly deepens our scientific understanding of a class of increasing important human activities. It will become a standard reference for a future research." --John R. Anderson, R. K. Mellon University Professor of Psychology and Computer Science, Carnegie Mellon University"Nothing is as practical as a good theory. We need practical techniques beyond mere usability experiments for designing the information machines of the Internet and mobile appliances. In this book, Peter Pirolli supplies such a theory, driving the program to have a supporting science of HCI forward to the next plane: from mechanistic theories based on the limitations of cognitive mechanisms to an applied science that emphasizes and predicts adaptation to the information environment. In so doing he advances the core theories of information cognition themselves in the tradition of Simon, Newell, Anderson, and Brunswik." --Stuart K. Card, Senior Research Fellow, Palo Alto Research Center, Xerox PARC"In a field as rich and complex as the interaction of people with information systems, fundamental theoretical advances are rare. I recall still the excitement of reading (and often reviewing) Peter Pirolli's early papers on Information Foraging Theory. This book is not light reading, but it is worthwhile reading: both well founded and practical; expect to be challenged and expect to learn. I hope this book will not only inform its readers, but will also be an inspiration to future researchers as to what is possible at the fascinating boundary between mind and machine." --Alan Dix, Professor, Computing Department, Lancaster University"Pirolli's book represents a significant achievement in both science and engineering -- providing broad, theoretically based and empirically validated insights into human information behavior and the design of information artifacts. It will be a classic, of importance to the several fields it brings together, cognitive psychology, human computer interaction, and library and information science, and of interest to several others ranging from economics to field biology. It is a deep and substantial body of work, conveyed with clarity and erudition. The theory at its heart is quite simple -- that people try to optimize their consumption of relevant information -- but its implications are worked out in elegant detail for a surprising variety of instructive and practical circumstances." --George W. Furnas, Professor and Associate Dean, School of Information, University of Michigan"This is a wonderful and exceptionally interesting book. It shows the key role that behavioral ecology, particularly foraging theory, plays in web searches and how psychology, computer science and behavioral ecology blend in a seamless manner in the study of this subject. Pirolli opens a new world for behavioral ecologists and computer scientists alike." --Marc Mangel, Professor and Fellow, John Baskin School of Engineering, University of California, Santa Cruz"Information foraging is the most important concept to emerge from Human-Computer Interaction research in the last decade." --Jakob Nielsen, Nielsen Norman Group, and author, Designing Web Usability..".a very interesting read...Pirolli's groundbreaking work and his "ah-ha" insight, since the late 1980s, occurred in just the environment that was needed for this insight to emerge...I applaud Pirolli and his having gone walkabout, shopping in the outback."--PsycCritiquesshow more

About Peter L.T. Pirolli

Peter Pirolli is a Research Fellow in the User Interface Research Area at the Palo Alto Research Center where he has been pursuing studies of human information interaction since 1991. He is an elected Fellow of the Association for Computing Machinery Computer-Human Interaction Academy, the American Association for the Advancement of Science, the Association for Psychological Science, and the National Academy of more

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11 ratings
3.27 out of 5 stars
5 18% (2)
4 27% (3)
3 27% (3)
2 18% (2)
1 9% (1)
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