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¶
This reference passed the adversarial substantiation pipeline: it was checked to exist and to support the claim it is attached to. See how references were verified.
Registry ID ref:37bb6d4aadf5 · see in the full table