Information Foraging

By Peter Pirolli. 2009

1,376 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

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Citations in the corpus

Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, background): “Hypothesis: The search for explanations is a core part of the sensemaking process (Pirolli and Card, 1999; Klein, Moon and Hoffman, 2006).”
SNIF-ACT: A Cognitive Model of User Navigation on the World Wide Web (2007, positive): “One reason for developing SNIF-ACT is to further a psychological theory of human–information foraging (Pirolli & Card, 1999) in a real-world domain.”
Introduction to this Special Issue on Sensemaking (2011, background): “…at seeking and filtering information, as well as reading and extracting information, possibly placing into some schematic organizing framework (Pirolli & Card, 1999), and (b) a sensemaking loop (Russell et al., 1993) that involves iterative development of representational schemas that best…”
Understanding PubMed® user search behavior through log analysis (2009, background): “(50,51) who find that interaction behaviors in information search follow some of the foraging principles described by Stephens and Krebs (52).”
A Framework of Search Engine Use for Travel Planning (2011, background): “…has documented the use of keywords (Jansen and Spink 2006; Jansen, Booth, and Spink 2008); Marchionini (1997) and others (Knight and Spink 2008; Pirolli and Card 1999) have examined the factors affecting the nature and structure of navigation through the Internet; and others have…”
The Sensemaking Process and Leverage Points for Analyst Technology as Identified Through Cognitive Task Analysis (2015, background): “These costs structure user information behavior (Pirolli & Card, 1999) and can often been altered (positively or negatively) by compute or methodological innovations.”
Scented Widgets: Improving Navigation Cues with Embedded Visualizations (2007, background): “Pirolli and Card's information foraging theory [17] models the cost structure of human information gathering analogously to that of animals foraging for food.”
The Issue Takes It All? (2019, background): “Information foraging theory (Pirolli and Card 1999; Pirolli 2005; see also Sundar, Knobloch-Westerwick, and Hastall 2007) offers an approach useful for describing why and how the cues available on Facebook might influence users’ engagement decisions.”
The Programmer’s Assistant: Conversational Interaction with a Large Language Model for Software Development (2023, background): “a search engine accessed within a web browser), type in a natural language query, and then forage amongst search results to identify relevant items of interest [12, 62].”
The New C Standard (Excerpted material) An Economic and Cultural Commentary (2008, neutral): “Pirolli and Card[29] applied this theory to deduce the possible set of strategies people might apply when searching for information.”
Optimal foraging in semantic memory. (2012, background): “Research has demonstrated these parallels across spatial and cognitive search in tasks involving finding fish in virtual ponds (where patches are ponds and items are fish caught in each pond— Hutchinson, Wilke, & Todd, 2008), search for words in multi-word anagrams (where patches are sets of random ”
Unpacking the Exploration–Exploitation Tradeoff: A Synthesis of Human and Animal Literatures (2015, background): “Do you search the Internet for information about different car companies, or do you trust your own experience and stick with your current company?”
Design Considerations for Collaborative Visual Analytics (2007, neutral): “Such scenarios arise in business intelligence [36], intelligence analysis [37, 47], and public data consumption [18].”
Darwin or Lamarck? Future Challenges in Evolutionary Algorithms for Knowledge Discovery and Data Mining (2014, methodology): “An approach applied in human psychology is the Information Foraging Theory by Pirolli & Card (1999) [71]; this assumes that people try to modify their information seeking strategies to maximize their rate in gaining valuable information.”