Liu, Haiming; Mulholland, Paul; Song, Dawei; Uren, Victoria and Rüger, Stefan
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.
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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.
||2011 Springer-Verlag Berlin Heidelberg
||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
||Information Foraging Theory; user interaction; four-factor user interaction model; uInteract - content-based image retrieval
||Knowledge Media Institute
Mathematics, Computing and Technology > Computing
|Interdisciplinary Research Centre:
||Centre for Research in Computing (CRC)
||16 Feb 2011 16:42
||04 Nov 2012 22:48
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