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.

DOI: https://doi.org/10.1007/978-3-642-17829-0_23

Abstract

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.

Viewing alternatives

Metrics

Item Actions

Export

You can export this page using these formats Digital Object Identifier - DOI