skip to main content
10.1145/1571941.1572007acmconferencesArticle/Chapter ViewAbstractPublication PagesirConference Proceedingsconference-collections
research-article

An aspectual interface for supporting complex search tasks

Published:19 July 2009Publication History

ABSTRACT

With the increasing importance of search systems on the web, there is a continuing push to design interfaces which are a better match with the kinds of real-world tasks in which users are engaged. In this paper, we consider how broad, complex search tasks may be supported via the search interface. In particular, we consider search tasks which may be composed of multiple aspects, or multiple related subtasks. For example, in decision making tasks the user may investigate multiple possible solutions before settling on a single, final solution, while other tasks, such as report writing, may involve searching on multiple interrelated topics.

A search interface is presented which is designed to support such broad search tasks, allowing a user to create search aspects, each of which models an independent subtask of some larger task. The interface is built on the intuition that users should be able to structure their searching environment when engaged on complex search tasks, where the act of structuring and organization may aid the user in understanding his or her task. A user study was carried out which compared our aspectual interface to a standard web-search interface. The results suggest that an aspectual interface can aid users when engaged in broad search tasks where the search aspects must be identified during searching; for a task where search aspects were pre-defined, no advantage over the baseline was found. Results for a decision making task were less clear cut, but show some evidence for improved task performance.

References

  1. Bell, D.J., and Ruthven, I. 2004. Searchers' Assessments of Task Complexity for Web Searching. In ECIR 2004, Sunderland, UK, 57--71.Google ScholarGoogle Scholar
  2. Borlund, P. 2003. The IIR Evaluation Model: a Framework for Evaluation of Interactive Information Retrieval Systems. In Information Research, 8, 3, paper no. 152.Google ScholarGoogle Scholar
  3. Bystrom, K. and Kalervo, J. 1995. Task Complexity Affects Information Seeking and Use. In Information Processing and Management, 2, 191--213. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Campbell, D. J. 1988 Task Complexity: A Review and Analysis. In Academy of Management Review, 13, 1, 40--52.Google ScholarGoogle ScholarCross RefCross Ref
  5. Cutting, D., Karger, D., Pedersen, J., and Tukey, J.W. 1992. Scatter/Gather: A Cluster-based Approach to Browsing Large Document Collections. In SIGIR 1992. Copenhagen, Denmark. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Fujima, J., Lunzer, A., Hornbæk, K., and Tanaka, Y. 2004. Clip, Connect, Clone: Combining Application Elements to Build Custom Interfaces for Information Access. In UIST 2004, New York, NY, USA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Hearst, M. 2000. Next Generation Web Search: Setting our Sites. In IEEE Data Engineering Bulletin, 23, 3, 38--48.Google ScholarGoogle Scholar
  8. Hersh, W., and Over, P. 2000. TREC-8 Interactive Track Report. In the 18th Text REtrieval Conference (TREC 8), Gaithersburg, MD, USA.Google ScholarGoogle Scholar
  9. Ingwersen, P. 1992 Information Retrieval Interaction. London: Taylor Graham. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Kaki, M. 2004. Proportional Search Interface Usability Measures. In NordiCHI'04, Tampere, Finland. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Lakoff, G. 1985. Women, Fire and Dangerous Things: What Categories Reveal about the Mind. The University of Chicago Press.Google ScholarGoogle Scholar
  12. Lund A.M. 2001. Measuring Usability with the USE Questionnaire. In Usability and User Experience, 8, 2.Google ScholarGoogle Scholar
  13. Lunzer, A., and Hornbæk, K. 2008. Subjunctive Interfaces: Extending Applications to Support Parallel Setup, Viewing and Control of Alternative Scenarios. In ACM Transactions on Computer Human Interaction 14, 4, 1--44. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Marchionini, G. 2006. Exploratory Search: From Finding to Understanding. In Communications of the ACM, 49, 4, 41--46. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Marchionini, G., and Brunk, B. 2003. Toward a General Relation Browser: A GUI for Information Architects. In Journal of Digital Information, 4, 1.Google ScholarGoogle Scholar
  16. Schraefel, M.C., Wilson, M., Russell, A., and Smith, D.A. 2006. mSpace: Improving Information Access to Multimedia Domains with Multimodal Exploratory Search. In Communications of the ACM, 49, 4, 47--49. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Over, P. 1999. TREC-5 Interactive Track Report. In the 7th Text REtrieval Conference (TREC 7), Gaithersburg, MD, USA.Google ScholarGoogle Scholar
  18. Vakkari, P. 1999. Task Complexity, Problem Structure and Information Actions: Integrating Studies on Information Seeking and Retrieval Information In Processing and Management, 35, 819--837. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Villa, R., Gildea, N. and Jose, J.M. 2008 FacetBrowser: a user interface for complex search tasks. In proceedings of ACM Multimedia 2008, 489--498. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. White, R.W., Kules, B., Drucker, S.M. and Schraefel, M.C. 2006. Supporting Exploratory Search. In Communications of the ACM, 49, 4, 36--39. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. An aspectual interface for supporting complex search tasks

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        SIGIR '09: Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
        July 2009
        896 pages
        ISBN:9781605584836
        DOI:10.1145/1571941

        Copyright © 2009 ACM

        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 ACM 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]

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 19 July 2009

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • research-article

        Acceptance Rates

        Overall Acceptance Rate792of3,983submissions,20%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader