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/Report/Conference proceedingConference contribution

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, Province of China
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
CountryTaiwan, Province of China
CityTaipei
Period5/01/117/01/11

Fingerprint

Information theory
Image retrieval

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 ; Uren, Victoria ; Rüger, Stefan. / 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",

}

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, Province of China, 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; Uren, Victoria; Rüger, Stefan.

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/Report/Conference proceedingConference contribution

TY - GEN

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

AU - Liu, Haiming

AU - Mulholland, Paul

AU - Song, Dawei

AU - Uren, Victoria

AU - Rüger, Stefan

PY - 2011

Y1 - 2011

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.

UR - http://www.scopus.com/inward/record.url?scp=78751652612&partnerID=8YFLogxK

UR - http://link.springer.com/chapter/10.1007%2F978-3-642-17829-0_23

U2 - 10.1007/978-3-642-17829-0_23

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

M3 - Conference contribution

SN - 978-3-642-17828-3

T3 - Lecture notes in computer science

SP - 241

EP - 251

BT - Advances in multimedia modeling

A2 - Lee, Kuo-Tien

A2 - Tsai, Wen-Hsiang

A2 - Liao, Hong-Yuan M.

A2 - Chen, Tsuhan

A2 - Hsieh, Jun-Wei

A2 - Tseng, Chien-Cheng

PB - Springer

ER -

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 K-T, Tsai W-H, Liao H-YM, Chen T, Hsieh J-W, Tseng C-C, 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). https://doi.org/10.1007/978-3-642-17829-0_23