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Characterizing stages of a multi-session complex search task through direct and indirect query modifications

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SIGIR '13: Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval

Pages 897 - 900

https://doi.org/10.1145/2484028.2484178

Published: 28 July 2013 Publication History

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Abstract

Search systems use context to effectively satisfy a user's information need as expressed by a query. Tasks are important factors in determining user context during search and many studies have been conducted that identify tasks and task stages through users' interaction behavior with search systems. The type of interaction available to users, however, depends on the type of search interface features available. Queries are the most pervasive input from users to express their information need regardless of the input method, e.g., typing keywords or clicking facets. Instead of characterizing interaction behavior in terms of interface specific components, we propose to characterize users' search behavior in terms of two types of query modification: (i) direct modification, which refers to reformulations of queries; and (ii) indirect modification, which refers to user operations on additional input components provided by various search interfaces. We investigate the utility of characterizing task stages through direct and indirect query reformulations in a case study and find that it is possible to effectively differentiate subsequent stages of the search task. We found that describing user interaction behavior in such a generic form allowed us to relate user actions to search task stages independent from the specific search interface deployed. The next step will then be to validate this idea in a setting with a wider palette of search tasks and tools.

References

[1]

J. Arguello, W.-C. Wu, D. Kelly, and A. Edwards. Task complexity, vertical display and user interaction in aggregated search. In SIGIR'12, pages 435--444, 2012.

Digital Library

Google Scholar

[2]

A. Aula, R. M. Khan, and Z. Guan. How does search behavior change as search becomes more difficult? In SIGCHI'10, pages 35--44, 2010.

Digital Library

Google Scholar

[3]

N. J. Belkin, R. N. Oddy, and H. M. Brooks. Ask for information retrieval: Part i. background and theory. J. doc., 38(2):61--71, 1982.

Google Scholar

[4]

V. Hollink, T. Tsikrika, and A. P. de Vries. Semantic search log analysis: a method and a study on professional image search. JASIST, 62(4):691--713, 2011.

Digital Library

Google Scholar

[5]

B. J. Jansen, D. L. Booth, and A. Spink. Patterns of query reformulation during web searching. JASIST, 60(7): 1358--1371, 2009.

Digital Library

Google Scholar

[6]

D. Kelly, K. Gyllstrom, and E. W. Bailey. A comparison of query and term suggestion features for interactive searching. In SIGIR'09, pages 371--378, 2009.

Digital Library

Google Scholar

[7]

B. Kules, R. Capra, M. Banta, and T. Sierra. What do exploratory searchers look at in a faceted search interface? In JCDL'09, pages 313--322, 2009.

Digital Library

Google Scholar

[8]

Y. Li and N. J. Belkin. A faceted approach to conceptualizing tasks in information seeking. IPM, 44(6):1822--1837, 2008.

Digital Library

Google Scholar

[9]

M. Melucci. Contextual search: A computational framework. FnTIR, 6(4--5):257--405, 2012.

Digital Library

Google Scholar

[10]

M. Smucker and J. Allan. Find-similar: similarity browsing as a search tool. In SIGIR'06, pages 461--468, 2006.

Digital Library

Google Scholar

[11]

S. Sushmita, H. Joho, M. Lalmas, and R. Villa. Factors affecting click-through behavior in aggregated search interfaces. In CIKM'10, pages 519--528, 2010.

Digital Library

Google Scholar

[12]

P. Vakkari, M. Pennanen, and S. Serola. Changes of search terms and tactics while writing a research proposal: A longitudinal case study. IPM, 39(3):445--463, 2003.

Digital Library

Google Scholar

[13]

R. Villa, I. Cantador, H. Joho, and J. M. Jose. An aspectual interface for supporting complex search tasks. In SIGIR'09, pages 379--386, 2009.

Digital Library

Google Scholar

[14]

R. W. White and R. A. Roth. Exploratory search: Beyond the query-response paradigm. Synthesis Lectures on Information Concepts, Retrieval, and Services, 1(1):1--98, 2009.

Digital Library

Google Scholar

Cited By

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Liu J(2021)Deconstructing search tasks in interactive information retrievalInformation Processing and Management: an International Journal10.1016/j.ipm.2021.10252258:3Online publication date: 1-May-2021
https://dl.acm.org/doi/10.1016/j.ipm.2021.102522
Ruotsalo TJacucci GKaski S(2020)Interactive faceted query suggestion for exploratory searchJournal of the Association for Information Science and Technology10.1002/asi.2430471:7(742-756)Online publication date: 8-Jun-2020
https://dl.acm.org/doi/10.1002/asi.24304
Verberne SHe JKruschwitz UWiggers GLarsen BRussell-Rose Tde Vries A(2019)First International Workshop on Professional SearchACM SIGIR Forum10.1145/3308774.330879952:2(153-162)Online publication date: 17-Jan-2019
https://dl.acm.org/doi/10.1145/3308774.3308799
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Index Terms

Characterizing stages of a multi-session complex search task through direct and indirect query modifications
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
2. Information systems
  1. Information retrieval
    1. Information retrieval query processing

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Published In

SIGIR '13: Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval

July 2013

1188 pages

ISBN:9781450320344

DOI:10.1145/2484028

General Chairs:
Gareth J.F. Jones
Dublin City University, Ireland
,
Páraic Sheridan
Dublin City University, Ireland
,
Program Chairs:
Diane Kelly
University of North Carolina, Chapel Hill, USA
,
Maarten de Rijke
University of Amsterdam, The Netherlands
,
Tetsuya Sakai
Microsoft Research Asia, China

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 July 2013

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SIGIR '13

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SIGIR

SIGIR '13: The 36th International ACM SIGIR conference on research and development in Information Retrieval

July 28 - August 1, 2013

Dublin, Ireland

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SIGIR '13 Paper Acceptance Rate 73 of 366 submissions, 20%;

Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

View all

Liu J(2021)Deconstructing search tasks in interactive information retrievalInformation Processing and Management: an International Journal10.1016/j.ipm.2021.10252258:3Online publication date: 1-May-2021
https://dl.acm.org/doi/10.1016/j.ipm.2021.102522
Ruotsalo TJacucci GKaski S(2020)Interactive faceted query suggestion for exploratory searchJournal of the Association for Information Science and Technology10.1002/asi.2430471:7(742-756)Online publication date: 8-Jun-2020
https://dl.acm.org/doi/10.1002/asi.24304
Verberne SHe JKruschwitz UWiggers GLarsen BRussell-Rose Tde Vries A(2019)First International Workshop on Professional SearchACM SIGIR Forum10.1145/3308774.330879952:2(153-162)Online publication date: 17-Jan-2019
https://dl.acm.org/doi/10.1145/3308774.3308799
Verberne SHe JKruschwitz ULarsen BRussell-Rose Tde Vries ACollins-Thompson KMei QDavison BLiu YYilmaz E(2018)First International Workshop on Professional Search (ProfS2018)The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval10.1145/3209978.3210198(1431-1434)Online publication date: 27-Jun-2018
https://dl.acm.org/doi/10.1145/3209978.3210198
Jiang DCai FChen H(2018)Personalizing Query Auto-Completion for Multi-Session Tasks2018 IEEE International Conference on Computer and Communication Engineering Technology (CCET)10.1109/CCET.2018.8542201(203-207)Online publication date: Aug-2018
https://doi.org/10.1109/CCET.2018.8542201
He JYilmaz ENordlie RPharo NFreund LLarsen BRussel D(2017)User Behaviour and Task CharacteristicsProceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval10.1145/3020165.3020188(67-76)Online publication date: 7-Mar-2017
https://dl.acm.org/doi/10.1145/3020165.3020188
Raman KBennett PCollins-Thompson K(2014)Understanding Intrinsic Diversity in Web SearchACM Transactions on Information Systems10.1145/262955332:4(1-45)Online publication date: 28-Oct-2014
https://dl.acm.org/doi/10.1145/2629553
Bron Mvan Gorp JNack FBaltussen Lde Rijke MJones GSheridan PKelly Dde Rijke MSakai T(2013)Aggregated search interface preferences in multi-session search tasksProceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval10.1145/2484028.2484050(123-132)Online publication date: 28-Jul-2013
https://dl.acm.org/doi/10.1145/2484028.2484050

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