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Strategies for Guiding Interactive Search

An Empirical Investigation Into the Consequences of Label Relevance for Assessment and Selection

Bibliographic Data

ID15216295
AuthorsDuncan P Brumby (0000-0003-2846-2592, Cardiff University, corresponding author), Andrew Howes (0000-0003-4251-1127, Cardiff University)
Year2008
Volume23
Issue1
Pages1-46
Publication date2008-02-29
Open AccessNo
TypeARTICLE
VenueHuman-Computer Interaction (JOURNAL)
Journal identifiersISSN: 0737-0024 • E-ISSN: 1532-7051
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/07370020701851078
OpenAlexW1979630148
LanguageEN
Citations received5
References cited41

When searching a novel Web page, people often estimate the likelihood that labeled links on the page will lead to their goal. A rational analysis of this activity suggests that people should adjust their estimate of the likelihood that any one item will lead to the goal in a manner that is sensitive to the context provided by the likelihoods that other items on the page will lead to the goal. Two experiments were designed to provide evidence to discriminate between this account and others found in the literature (e.g., satisficing and assess-all accounts). The experiments systematically manipulated the relevance of the distractor items and the location of the target item on the page. The results showed that (a) a high-value item was more likely to be selected when it was first encountered if the relevance of competing distractors was relatively low and (b) more items were assessed prior to selection when the distractors were of greater semantic relevance to the goal. The location manipulation showed that if more distractors were assessed prior to the target item, then the relevance of the distractors had a greater influence on the decision as to whether to select the target immediately. These results suggest that decisions as to when to select an item from the page are sensitive to the context provided by the likelihoods of all of the items so far assessed and not just to the most recent item. The findings are therefore inconsistent with both satisficing and assess-all accounts of interactive search

Cognitive psychology · Consistency (knowledge bases · Context (archaeology · Information retrieval · Relevance (law · Satisficing · Selection (genetic algorithm · Advanced Text Analysis Techniques · Computer Science · Information Retrieval and Search Behavior · Psychology · Visual and Cognitive Learning Processes · Artificial Intelligence

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Citations per year0.31
Citation span2010 - 2023 (14)
Highly citedNo

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