skip to main content
10.1145/2232817.2232929acmconferencesArticle/Chapter ViewAbstractPublication PagesjcdlConference Proceedingsconference-collections
demonstration

The ResultsSpace collaborative search environment

Authors Info & Claims
Published:10 June 2012Publication History

ABSTRACT

The ResultsSpace Collaborative Search Environment is a tool to support asynchronous collaborative information retrieval among a small group of collaborators. It is designed to promote awareness of collaborators' searches and the documents they have rated. Awareness is supported through several mechanisms: an area that shows a history of queries, a summary display of collaborators' ratings next to each search result, and changes in the visual salience of search results based on their aggregate rating from all collaborators. Faceted controls allow users to filter results based on specific ratings (relevant, not relevant, and maybe) and on specific collaborator(s) who have rated an item. We describe features of the system, how they are implemented, and give insights into the design rationale.

References

  1. Capra, R., Marchionini, G., Velasco-Martin, J., & Muller, K. (2010). Tools-at-hand and learning in multi-session, collaborative search. In Proc. CHI 2010. ACM, New York, 951--960. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Capra, R., Velasco-Martin, J. and Sams, B. (2011). Collaborative information seeking by the numbers. In Proc. of the 3rd International Workshop on Collaborative Information Retrieval (CIR '11). ACM, New York, 7--10. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Morris, M. R., & Horvitz, E. (2007). SearchTogether: an interface for collaborative web search. In Proc. UIST 2007. ACM, New York, 3--12. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Morris, M. R. (2008). A survey of collaborative web search practices. In Proc. CHI 2008. ACM, New York, 1657--1660. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Morris, M. R., & Teevan, J. (2009). Collaborative Web Search: Who, What, Where, When, and Why. Synthesis Lectures on Information Concepts, Retrieval, and Services #14. Morgan & Claypool. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Paul, S. A., & Morris, M. R. (2009). CoSense: enhancing sensemaking for collaborative web search. In Proc. CHI 2009. ACM, New York, 1771--1780. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Pickens, J., Golovchinsky, G., Shah, C., Qvarfordt, P., & Back, M. (2008). Algorithmic mediation for collaborative exploratory search. In Proc. SIGIR 2008. ACM, New York, 315--322. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Golovchinsky, G., Diriye, A., Pickens, J. (2011). Designing for collaboration in information seeking. In Proc. Fifth Workshop on Human-Computer Interaction and Information Retrieval (HCIR 2011), Oct. 20, 2011, Mountain View, CA.Google ScholarGoogle Scholar
  9. Shah, C., & Marchionini, G. (2010). Awareness in collaborative information seeking. Journal of the American Society for Information Science and Technology, 61(10), 1970--1986. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. The ResultsSpace collaborative search environment

      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
        JCDL '12: Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
        June 2012
        458 pages
        ISBN:9781450311540
        DOI:10.1145/2232817

        Copyright © 2012 Authors

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 10 June 2012

        Permissions

        Request permissions about this article.

        Request Permissions

        Check for updates

        Qualifiers

        • demonstration

        Acceptance Rates

        Overall Acceptance Rate415of1,482submissions,28%

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader