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An information foraging theory based user study of an adaptive user interaction framework for content-based image retrieval

Liu, Haiming; Mulholland, Paul; Song, Dawei; Uren, Victoria and Rüger, Stefan (2011). An information foraging theory based user study of an adaptive user interaction framework for content-based image retrieval. In: 17th International Conference on MultiMedia Modeling (MMM), Jan 2011, Taipei, Taiwan, Springer LNCS 6524, pp. 241–251.

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This paper presents the design and results of a task-based user study, based on Information Foraging Theory, on a novel user interaction framework - uInteract - for content-based image retrieval (CBIR). The framework includes a four-factor user interaction model and an interactive interface. The user study involves three focused evaluations, 12 simulated real life search tasks with different complexity levels, 12 comparative systems and 50 subjects. Information Foraging Theory is applied to the user study design and the quantitative data analysis. The systematic findings have not only shown how effective and easy to use the uInteract framework is, but also illustrate the value of Information Foraging Theory for interpreting user interaction with CBIR.

Item Type: Conference Item
Copyright Holders: 2011 Springer-Verlag Berlin Heidelberg
Extra Information: Published in Lecture Notes in Computer Science, 2011, Volume 6524/2011, 'Advances in Multimedia Modeling, 17th International Multimedia Modeling Conference, MMM 2011, Proceedings, Part II' pp. 241-251, ISBN 978-3-642-17828-3
Keywords: Information Foraging Theory; user interaction; four-factor user interaction model; uInteract - content-based image retrieval
Academic Unit/Department: Knowledge Media Institute
Mathematics, Computing and Technology > Computing & Communications
Mathematics, Computing and Technology
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Item ID: 28199
Depositing User: Stefan Rüger
Date Deposited: 16 Feb 2011 16:42
Last Modified: 24 Feb 2016 07:57
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