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Rational Analyses of Information Scent and Web Foraging

Peter Pirolli

in Information Foraging Theory: Adaptive Interaction with Information

Published in print:
2007
Published Online:
April 2010
ISBN:
9780195173321
eISBN:
9780199893232
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195173321.003.0004
Subject:
Psychology, Social Psychology

This chapter provides a rational analysis of Web-foraging in which information scent plays a central role. Information scent is a part of an utility assessment involving the detection and use of ... More


A Cognitive Model of Information Foraging on the Web

Peter Pirolli

in Information Foraging Theory: Adaptive Interaction with Information

Published in print:
2007
Published Online:
April 2010
ISBN:
9780195173321
eISBN:
9780199893232
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195173321.003.0005
Subject:
Psychology, Social Psychology

This chapter presents SNIF-ACT (Scent-based Navigation and Information Foraging in the ACT architecture), which is a cognitive model that implements the rational analysis of Web-foraging within the ... More


The Use of Proximal Information Scent to Forage for Distal Content on the World Wide Web

Peter Pirolli

in Adaptive Perspectives on Human–Technology Interaction: Methods and Models for Cognitive Engineering and Human-Computer Interaction

Published in print:
2009
Published Online:
March 2012
ISBN:
9780195374827
eISBN:
9780199847693
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195374827.003.0022
Subject:
Psychology, Cognitive Psychology

This chapter summarizes information foraging research on use of the World Wide Web (the Web). The particular focus is placed on a psychological theory of information scent that is embedded in a ... More


Design Heuristics, Engineering Models, and Applications

Peter Pirolli

in Information Foraging Theory: Adaptive Interaction with Information

Published in print:
2007
Published Online:
April 2010
ISBN:
9780195173321
eISBN:
9780199893232
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195173321.003.0009
Subject:
Psychology, Social Psychology

This chapter reviews work that applies concepts from Information Foraging Theory to solve real-world human-information interaction problems. The first set of work comes from the world of design ... More


The Ecology of Information Foraging on the World Wide Web

Peter Pirolli

in Information Foraging Theory: Adaptive Interaction with Information

Published in print:
2007
Published Online:
April 2010
ISBN:
9780195173321
eISBN:
9780199893232
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195173321.003.0003
Subject:
Psychology, Social Psychology

This chapter presents a simultaneous analysis of the foraging environment posed by the Web and the behavior of the human forager shaped by the structure and constraints of that environment. ... More


A Rational Analysis and Computational Cognitive Model of the Scatter/Gather Document Cluster Browser

Peter Pirolli

in Information Foraging Theory: Adaptive Interaction with Information

Published in print:
2007
Published Online:
April 2010
ISBN:
9780195173321
eISBN:
9780199893232
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195173321.003.0006
Subject:
Psychology, Social Psychology

This chapter presents a rational analysis and computational cognitive model of an interactive document clustering and browsing technique called Scatter/Gather. The approach addresses (a) what ... More


Stochastic Models of Information Foraging by Information Scent

Peter Pirolli

in Information Foraging Theory: Adaptive Interaction with Information

Published in print:
2007
Published Online:
April 2010
ISBN:
9780195173321
eISBN:
9780199893232
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780195173321.003.0007
Subject:
Psychology, Social Psychology

This chapter presents a set of stochastic models of user navigation based on information scent. Information scent predicts the navigation of users based on the users' goals and the content cues that ... More


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