Skip to main content

Professional Collaborative Information Seeking: On Traceability and Creative Sensemaking

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9398))

Abstract

The development of systems to support collaborative information seeking is a challenging issue for many reasons. Besides the support expected for an individual user, such as query formulation, relevance judgement, result set organization and summarization, the smooth exchange of search related information within the team of users seeking information has to be supported. This imposes strong requirements on visualization and interaction to enable user to easily trace and interpret the search activities of other team members and to jointly make sense of gathered information in order to solve the initial information need. In this paper, we briefly motivate specific requirements with a focus on collaborative professional search, review existing work and point out major challenges. In addition, we briefly introduce a system that has been specifically developed to support collaborative technology search.

This is a preview of subscription content, log in via an institution.

Notes

  1. 1.

    The actual search engine being used does not affect the Search Map, so searchers are able to use any search engine they want, even Intranet search engines of companies.

References

  1. Anderson, L.W., Krathwohl, D.R., Airasian, P.W., Cruikshank, K.A., Mayer, R.E., Pintrich, P.R., Raths, J., Wittrock, M.C.: A taxonomy for learning, teaching, and assessing: a revision of bloom’s taxonomy of educational objectives, 2nd edn. Allyn & Bacon, Boston (2001)

    Google Scholar 

  2. Aula, A., Russell, D.M.: Complex and exploratory web search. In: Information Seeking Support Systems (2008)

    Google Scholar 

  3. Basque, J., Pudelko, B.: Intersubjective meaning-making in dyads using object-typed concept mapping. In: Torres, P.L., Marriott, R.C.V. (eds.) Handbook of Research on Collaborative Learning Using Concept Mapping, Chapter 10, pp. 180–206. IGI Global, Pennsylvania (2010)

    Google Scholar 

  4. Byström, K., Järvelin, K.: Task complexity affects information seeking and use. Inf. Process. Manage. 31(2), 191–213 (1995)

    Article  Google Scholar 

  5. Capra, R., Chen, A.T., McArthur, E., Davis, N.: Searcher actions and strategies in asynchronous collaborative search. In: Proceedings of 76th ASIS&T Annual Meeting: Beyond the Cloud: Rethinking Information Boundaries, pp. 75:1–75:10 (2013)

    Article  Google Scholar 

  6. Capra, R., Marchionini, G., Velasco-Martin, J., Muller, K.: Tools-at-hand and learning in multi-session, collaborative search. In: Proceedings of SIGCHI Conference on Human Factors in Computing Systems, pp. 951–960. ACM (2010)

    Google Scholar 

  7. Ellis, D.: A behavioral approach to information retrieval system design. J. Documentation 45(3), 171–212 (1989)

    Article  Google Scholar 

  8. Ellis, D., Cox, D., Hall, K.: A comparison of the information seeking patterns of researchers in the physical and social sciences. J. Documentation 49(4), 356–369 (1993)

    Article  Google Scholar 

  9. Ellis, D., Haugan, M.: Modelling the information seeking patterns of engineers and research scientists in an industrial environment. J. Documentation 53(4), 384–403 (1997)

    Article  Google Scholar 

  10. Evans, B.M., Chi, E.H.: Towards a model of understanding social search. In: Proceedings of ACM Conference on Computer Supported Cooperative Work, pp. 485–494. ACM (2008)

    Google Scholar 

  11. Gäde, M., Hall, M.M., Huurdeman, H., Kamps, J., Koolen, M., Skov, M., Toms, E., Walsh, D.: First workshop on supporting complex search tasks. In: Proceedings of the First International Workshop on Supporting Complex Search Tasks, part of ECIR (2015)

    Google Scholar 

  12. Golovchinsky, G., Qvarfordt, P., Pickens, J.: Collaborative information seeking. Computer 42(3), 47–51 (2009)

    Article  Google Scholar 

  13. Gossen, T., Bade, K., Nürnberger, A.: A comparative study of collaborative and individual web search for a social planning task. In: Proceedings of LWA Workshop (2011)

    Google Scholar 

  14. Hearst, M.A.: What’s missing from collaborative search? Computer 47(3), 58–61 (2014)

    Article  Google Scholar 

  15. Hembrooke, H.A., Granka, L.A., Gay, G.K., Liddy, E.D.: The effects of expertise and feedback on search term selection and subsequent learning: research articles. J. Am. Soc. Inf. Sci. Technol. 56(8), 861–871 (2005)

    Article  Google Scholar 

  16. Kelly, R., Payne, S.J.: Collaborative web search in context: A study of tool use in everyday tasks. In: Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work & #38; Social Computing, CSCW 2014, pp. 807–819. ACM, New York, NY, USA (2014)

    Google Scholar 

  17. Knight, S.A., Spink, A.: Toward a web search information behavior model. In: Spink, A., Zimmer, M. (eds.) Web Search. Information Science and Knowledge Management, vol. 14, pp. 209–234. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  18. Kotov, A., Bennett, P.N., White, R.W., Dumais, S.T., Teevan, J.: Modeling and analysis of cross-session search tasks. In: Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 5–14. ACM (2011)

    Google Scholar 

  19. Kuhlthau, C.C.: Inside the search process: information seeking from the user’s perspective. J. Am. Soc. Inf. Sci. 42(5), 361–371 (1991)

    Article  Google Scholar 

  20. Kuhlthau, C.C.: Seeking Meaning: A Process Approach to Library and Information Services. Ablex Publishing, Norwood, NJ (1994)

    Google Scholar 

  21. Marchionini, G.: Exploratory search: from finding to understanding. Commun. ACM 49(4), 41–46 (2006)

    Article  Google Scholar 

  22. Morris, M.R.: Interfaces for collaborative exploratory web search: motivations and directions for multi-user designs. In: CHI 2007 Workshop on Exploratory Search and HCI (2007)

    Google Scholar 

  23. Morris, M.R.: Collaborating alone and together: investigating persistent and multi-user web search activities, Technical report MSR-TR-2007-11, Microsoft Research (2007)

    Google Scholar 

  24. Morris, M.R., Teevan, J., Bush, S.: Enhancing collaborative web search with personalization: groupization, smart splitting, and group hit-highlighting. In: Proceedings of ACM Conference on Computer Supported Cooperative Work, pp. 481–484. ACM (2008)

    Google Scholar 

  25. Poltrock, S.E., Grudin, J., Dumais, S.T., Fidel, R., Bruce, H., Pejtersen, A.M.: Information seeking and sharing in design teams. In: Schmidt, K., Pendergast, M., Tremaine, M., Simone, C. (eds.) GROUP, pp. 239–247. ACM, New York (2003)

    Google Scholar 

  26. Reddy, M.C., Jansen, B.J.: A model for understanding collaborative information behavior in context: a study of two healthcare teams. Inf. Process. Manage. 44(1), 256–273 (2008)

    Article  Google Scholar 

  27. Russell, D.M., Stefik, M.J., Pirolli, P., Card, S.K.: The cost structure of sensemaking. In: Proceedings of INTERACT 1993 and CHI 1993 Conference on Human Factors in Computing Systems, pp. 269–276. ACM (1993)

    Google Scholar 

  28. Shah, C.: Collaborative information seeking: a literature review. In: 2009 Workshop on Collaborative Information Behavior (2009)

    Google Scholar 

  29. Shah, C.: Collaborative Information Seeking - The Art and Science of Making the Whole Greater than the Sum of All, vol. 34. Springer, Heidelberg (2012)

    Google Scholar 

  30. Shah, C.: Collaborative information seeking. J. Assoc. Inf. Sci. Technol. 65(2), 215–236 (2014)

    Article  Google Scholar 

  31. Stange, D., Nürnberger, A.: Search maps: enhancing traceability and overview in collaborative information seeking. In: de Rijke, M., Kenter, T., de Vries, A.P., Zhai, C.X., de Jong, F., Radinsky, K., Hofmann, K. (eds.) ECIR 2014. LNCS, vol. 8416, pp. 763–766. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  32. Stange, D., Nürnberger, A.: When experts collaborate: sharing search and domain expertise within an organization. In: Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business, ACM, New York, NY, USA (2015, to appear)

    Google Scholar 

  33. White, R.W., Dumais, S.T., Teevan, J.: Characterizing the influence of domain expertise on web search behavior. In: Proceedings of the Second ACM International Conference on Web Search and Data Mining, pp. 132–141. ACM (2009)

    Google Scholar 

  34. Wilson, T.D.: On user studies and information needs. J. Documentation 37(1), 3–15 (1981)

    Article  Google Scholar 

  35. Wilson, T.D.: Models in information behaviour research. J. Documentation 55(3), 249–270 (1999)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andreas Nürnberger .

Editor information

Editors and Affiliations

Rights and permissions

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Nürnberger, A., Stange, D., Kotzyba, M. (2015). Professional Collaborative Information Seeking: On Traceability and Creative Sensemaking. In: Cardoso, J., Guerra, F., Houben, GJ., Pinto, A.M., Velegrakis, Y. (eds) Semantic Keyword-Based Search on Structured Data Sources. IKC 2015. Lecture Notes in Computer Science(), vol 9398. Springer, Cham. https://doi.org/10.1007/978-3-319-27932-9_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-27932-9_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27931-2

  • Online ISBN: 978-3-319-27932-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics