Information Foraging Theory:Adaptive Interaction with InformationOxford University Press, USA, 12 квіт. 2007 р. - 226 стор. Although much of the hubris and hyperbole surrounding the 1990's Internet has softened to a reasonable level, the inexorable momentum of information growth continues unabated. This wealth of information provides resources for adapting to the problems posed by our increasingly complex world, but the simple availability of more information does not guarantee its successful transformation into valuable knowledge that shapes, guides, and improves our activity. When faced with something like the analysis of sense-making behavior on the web, traditional research models 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 induce about the landscape of cyberspace. Thus, it is fortunate that a new field of research, Adaptive Information Interaction (AII), is becoming possible. AII centers on the problems of understanding and improving human-information interaction. It 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 behavioral and social sciences. This book is about Information Foraging Theory (IFT), a new theory in Adaptive Information Interaction that is one example of a recent flourish of theories in adaptationist psychology that draw upon evolutionary-ecological theory in biology. IFT assumes that people (indeed, all organisms) 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 users. Information Foraging Theory will be of interest to student and professional researchers in HCI and cognitive psychology. |
Зміст
Framework and Method | 3 |
2 Elementary Foraging Models | 30 |
3 The Ecology of Information Foraging on the World Wide Web | 48 |
4 Rational Analyses of Information Scent and Web Foraging | 68 |
5 A Cognitive Model of Information Foraging on the Web | 89 |
6 A Rational Analysis and Computational Cognitive Model of the ScatterGather Document Cluster Browser | 110 |
7 Stochastic Models of Information Foraging by Information Scent | 137 |
8 Social Information Foraging | 148 |
9 Design Heuristics Engineering Models and Applications | 166 |
Upward Downward Inward and Outward | 183 |
193 | |
197 | |
Інші видання - Показати все
Information Foraging Theory:Adaptive Interaction with Information Peter Pirolli Обмежений попередній перегляд - 2007 |
Information Foraging Theory: Adaptive Interaction with Information Peter Pirolli Обмежений попередній перегляд - 2009 |
Information Foraging Theory: Adaptive Interaction with Information Peter L. T. Pirolli Обмежений попередній перегляд - 2009 |
Загальні терміни та фрази
ACT-IF ACT-R actions Anderson Antz associated assumed average rate behavior between-patch browser Card chapter CHI Letters chunks clusters cost Current-Best declarative memory developed diet model display distribution ecology equation evaluation expected eye tracker Factors in Computing figure function gathering goal heuristic Huberman Human Factors Human-Computer Interaction information environment Information Foraging Theory information patch information scent information scent cues interaction interface inverse Gaussian distribution knowledge Law of Surfing Link-Price Marginal Value Theorem model of information Newell next-link Location nodes number of relevant optimal foraging theory parameter participants patch model Pirolli predicted presented probability problem production rules profitability proximal cues psychology query random rate of gain rational analysis relevant documents represent retrieval scanning Scatter/Gather window search engine selected simulation SNIF-ACT specific spreading activation strategies target task tion total number usability utility Web usability within-patch World Wide Web
Посилання на книгу
Current Issues in Computing and Philosophy Adam Briggle,Katinka Waelbers,Philip Brey Обмежений попередній перегляд - 2008 |