Information Foraging Theory¶
Pirolli, P. L. T. (2007). Information Foraging Theory: Adaptive Interaction with Information. Oxford University Press.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Information Scent
- Codebase exploration. Developers navigate unfamiliar code by file and function names, comments, and imports — all scent cues predicting whether a path reaches the bug or feature. Reading, journalism, and customer journeys. Headings, topic sentences, headlines, and funnel steps are scent cues predicting whether continuing yields the reader's or customer's goal; engagement-optimized media systematically degrade scent through headline-payload mismatch.
This sourceBook-length development of information scent, snippet design, and the patch-leaving/marginal-value model in search and browsing.
- Codebase exploration. Developers navigate unfamiliar code by file and function names, comments, and imports — all scent cues predicting whether a path reaches the bug or feature. Reading, journalism, and customer journeys. Headings, topic sentences, headlines, and funnel steps are scent cues predicting whether continuing yields the reader's or customer's goal; engagement-optimized media systematically degrade scent through headline-payload mismatch.
Verification¶
Does it exist? Confirmed. This work's DOI resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Registry ID ref:37bb6d4aadf5 · see in the full table