Using information scent to model user information needs and actions and the Web

By Ed H. Chi, Peter Pirolli, Kim Chen, James E. Pitkow. International Conference on Human Factors in Computing Systems, 2001

518 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/cc0b5cf8c4efb446c0099b676af851789aba11a4

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Citations in the corpus

Exploratory Search: Beyond the Query-Response Paradigm (2009, background): “Research on inferring user needs by information scent (INUIS) shows that users can be clustered into types or profiles based on their surfing patterns (Chi et al., 2001; Heer and Chi, 2001).”
Cognitive walkthrough for the web (2002, methodology): “Except for Chi et al. [6], the common characteristic of most of these studies was that user behavior was aggregated over the different user goals.”
How the Experts Do It: Assessing and Explaining Agent Behaviors in Real-Time Strategy Games (2017, methodology): “IFT constructs have been used to explain and predict people’s information-seeking behavior in several domains, such as understanding navigations through web sites or programming and software engineering environments [5, 7, 8, 14, 19, 22, 23, 24, 29].”
A Principal Component Analysis of 39 Scientific Impact Measures (2009, background): “stimates of the transition probabilities between pairs of journals according to how frequently they were consecutively visited by users within the same session (see Bollen (2005,2008)[6, 5], related: [10, 20, 19]). The resulting usage network consisted of 3,617,368 connections, resulting in a networ”
What are you looking for?: an eye-tracking study of information usage in web search (2007, background): “Beyond the Web, search is a central activity for users of corporate intranets, specialized databases (from shopping to Medline), and increasingly for personal archives of documents and email [4].”
Investigating behavioral variability in web search (2007, background): “Research in information foraging theory [27] has gone a long way toward characterizing search behavior, but has mainly focused on the development of cognitive-perceptual simulations of user behavior such as SNIF-ACT [28] to derive a theoretically grounded set of Web site design principles, or the us”