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

Haiming Liu, Paul Mulholland, Dawei Song, Victoria Uren, Stefan Rüger

Research output: Chapter in Book/Published conference outputConference publication

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.
Original languageEnglish
Title of host publicationAdvances in multimedia modeling
Subtitle of host publication17th International Multimedia Modeling Conference, MMM 2011, Taipei, Taiwan, January 5-7, 2011, proceedings, Part II
EditorsKuo-Tien Lee, Wen-Hsiang Tsai, Hong-Yuan M. Liao, Tsuhan Chen, Jun-Wei Hsieh, Chien-Cheng Tseng
PublisherSpringer
Pages241-251
Number of pages11
ISBN (Electronic)978-3-642-17829-0
ISBN (Print)978-3-642-17828-3
DOIs
Publication statusPublished - 2011
Event17th International Multimedia Modeling Conference - Taipei, Taiwan
Duration: 5 Jan 20117 Jan 2011

Publication series

NameLecture notes in computer science
PublisherSpringer
Volume6524
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Multimedia Modeling Conference
Abbreviated titleMMM 2011
Country/TerritoryTaiwan
CityTaipei
Period5/01/117/01/11

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