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

doi:10.1007/978-3-642-17829-0_23

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 output › Conference 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 language	English
Title of host publication	Advances in multimedia modeling
Subtitle of host publication	17th International Multimedia Modeling Conference, MMM 2011, Taipei, Taiwan, January 5-7, 2011, proceedings, Part II
Editors	Kuo-Tien Lee, Wen-Hsiang Tsai, Hong-Yuan M. Liao, Tsuhan Chen, Jun-Wei Hsieh, Chien-Cheng Tseng
Publisher	Springer
Pages	241-251
Number of pages	11
ISBN (Electronic)	978-3-642-17829-0
ISBN (Print)	978-3-642-17828-3
DOIs	https://doi.org/10.1007/978-3-642-17829-0_23
Publication status	Published - 2011
Event	17th International Multimedia Modeling Conference - Taipei, Taiwan Duration: 5 Jan 2011 → 7 Jan 2011

Publication series

Name	Lecture notes in computer science
Publisher	Springer
Volume	6524
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Multimedia Modeling Conference
Abbreviated title	MMM 2011
Country/Territory	Taiwan
City	Taipei
Period	5/01/11 → 7/01/11

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10.1007/978-3-642-17829-0_23

Cite this

Liu, H., Mulholland, P., Song, D., Uren, V., & Rüger, S. (2011). An information foraging theory based user study of an adaptive user interaction framework for content-based image retrieval. In K.-T. Lee, W.-H. Tsai, H.-Y. M. Liao, T. Chen, J.-W. Hsieh, & C.-C. Tseng (Eds.), Advances in multimedia modeling: 17th International Multimedia Modeling Conference, MMM 2011, Taipei, Taiwan, January 5-7, 2011, proceedings, Part II (pp. 241-251). (Lecture notes in computer science; Vol. 6524). Springer. https://doi.org/10.1007/978-3-642-17829-0_23

Liu, Haiming ; Mulholland, Paul ; Song, Dawei et al. / An information foraging theory based user study of an adaptive user interaction framework for content-based image retrieval. Advances in multimedia modeling: 17th International Multimedia Modeling Conference, MMM 2011, Taipei, Taiwan, January 5-7, 2011, proceedings, Part II. editor / Kuo-Tien Lee ; Wen-Hsiang Tsai ; Hong-Yuan M. Liao ; Tsuhan Chen ; Jun-Wei Hsieh ; Chien-Cheng Tseng. Springer, 2011. pp. 241-251 (Lecture notes in computer science).

@inproceedings{29e15c41345e4618a80846e4bb163b74,

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

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.",

author = "Haiming Liu and Paul Mulholland and Dawei Song and Victoria Uren and Stefan R{\"u}ger",

year = "2011",

doi = "10.1007/978-3-642-17829-0_23",

language = "English",

isbn = "978-3-642-17828-3",

series = "Lecture notes in computer science",

publisher = "Springer",

pages = "241--251",

editor = "Kuo-Tien Lee and Wen-Hsiang Tsai and Liao, {Hong-Yuan M.} and Tsuhan Chen and Jun-Wei Hsieh and Chien-Cheng Tseng",

booktitle = "Advances in multimedia modeling",

address = "Germany",

note = "17th International Multimedia Modeling Conference, MMM 2011 ; Conference date: 05-01-2011 Through 07-01-2011",

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Liu, H, Mulholland, P, Song, D, Uren, V & Rüger, S 2011, An information foraging theory based user study of an adaptive user interaction framework for content-based image retrieval. in K-T Lee, W-H Tsai, H-YM Liao, T Chen, J-W Hsieh & C-C Tseng (eds), Advances in multimedia modeling: 17th International Multimedia Modeling Conference, MMM 2011, Taipei, Taiwan, January 5-7, 2011, proceedings, Part II. Lecture notes in computer science, vol. 6524, Springer, pp. 241-251, 17th International Multimedia Modeling Conference, Taipei, Taiwan, 5/01/11. https://doi.org/10.1007/978-3-642-17829-0_23

An information foraging theory based user study of an adaptive user interaction framework for content-based image retrieval. / Liu, Haiming; Mulholland, Paul; Song, Dawei et al.
Advances in multimedia modeling: 17th International Multimedia Modeling Conference, MMM 2011, Taipei, Taiwan, January 5-7, 2011, proceedings, Part II. ed. / Kuo-Tien Lee; Wen-Hsiang Tsai; Hong-Yuan M. Liao; Tsuhan Chen; Jun-Wei Hsieh; Chien-Cheng Tseng. Springer, 2011. p. 241-251 (Lecture notes in computer science; Vol. 6524).

Research output: Chapter in Book/Published conference output › Conference publication

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T1 - An information foraging theory based user study of an adaptive user interaction framework for content-based image retrieval

AU - Liu, Haiming

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AU - Song, Dawei

AU - Uren, Victoria

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PY - 2011

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N2 - 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.

AB - 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.

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T2 - 17th International Multimedia Modeling Conference

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Liu H, Mulholland P, Song D, Uren V, Rüger S. An information foraging theory based user study of an adaptive user interaction framework for content-based image retrieval. In Lee KT, Tsai WH, Liao HYM, Chen T, Hsieh JW, Tseng CC, editors, Advances in multimedia modeling: 17th International Multimedia Modeling Conference, MMM 2011, Taipei, Taiwan, January 5-7, 2011, proceedings, Part II. Springer. 2011. p. 241-251. (Lecture notes in computer science). doi: 10.1007/978-3-642-17829-0_23

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

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

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