Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.583563
Title: An empirical investigation into strategies for guiding interactive search
Author: Brumby, Duncan Paul
Awarding Body: Cardiff University
Current Institution: Cardiff University
Date of Award: 2005
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Abstract:
One activity people engage in when using the web is estimating the likelihood that labelled links will lead to their goal. However, they must also decide whether to select one of the assessed items immediately or make further assessments. There are a number of theoretical accounts of this behaviour. The accounts differ as to whether, for example, they assume that people consider all of the items on a page prior to making a selection, or tend to make a selection immediately following an assessment of a highly relevant item. A series of experiments were conducted to discriminate between these accounts. The empirical studies demonstrated that people are in fact more strategic and sensitive to context than previous models suggest. People sometimes choose an option which appears good enough, but sometimes choose to continue checking. The decision to select an item was found to be sensitive to the relevance of labels in the immediate and distal choice set and also the number of options in the immediately available choice set. The data were used to motivate computational models of interactive search. An implication of the work presented here is that engineering models that aim to predict the time required by a typical user to search web page structure or which labelled link a user is likely to select for a given goal need to be updated so that they are sensitive to the extent to which people adapt strategy to the features of the context, such as the distractor semantics and number of distractors
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.583563  DOI: Not available
Keywords: BF Psychology ; QA75 Electronic computers. Computer science
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