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Towards task-based personal information management evaluations

Published:23 July 2007Publication History

ABSTRACT

Personal Information Management (PIM) is a rapidly growing area of research concerned with how people store, manage and refind information. A feature of PIM research is that many systems have been designed to assist users manage and refind information, but very few have been evaluated. This has been noted by several scholars and explained by the difficulties involved in performing PIM evaluations. The difficulties include that people re-find information from within unique personal collections; researchers know little about the tasks that cause people to re-find information; and numerous privacy issues concerning personal information. In this paper we aim to facilitate PIM evaluations by addressing each of these difficulties. In the first part, we present a diary study of information re-finding tasks. The study examines the kind of tasks that require users to refind information and produces a taxonomy of refinding tasks for email messages and web pages. In the second part, we propose a task-based evaluation methodology based on our findings and examine the feasibility of the approach using two different methods of task creation.

References

  1. R. Boardman, Improving tool support for personal information management, Ph.D. thesis, Imperial College London, 2004.Google ScholarGoogle Scholar
  2. P. Borlund, The iir evaluation model: A framework for evaluation of interactive information retrieval systems, Information Research 8 (2003), no. 3, paper no. 152.Google ScholarGoogle Scholar
  3. K. Byström and K. Järvelin, Task complexity affects information seeking and use, Information Processing and Management 31 (1995), no. 2, 191--213. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. R. G. Capra and M. A. Perez-Quinones, Re-finding found things: An exploratory study of how users re-find information, Tech. report, Virginia Tech, 2003.Google ScholarGoogle Scholar
  5. R. G. Capra and M. A. Perez-Quinones, Using web search engines to find and refind information, Computer 38 (2005), no. 10, 36--42. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. R. G. Capra and M. A. Perez-Quinones, Factors and evaluation of refinding behaviors., SIGIR 2006 Workshop on Personal Information Management, August 10-11, 2006, Seattle, Washington, 2006.Google ScholarGoogle Scholar
  7. E. Cutrell, D. Robbins, S. Dumais, and R. Sarin, Fast, flexible filtering with phlat, Proc. SIGCHI '06 (New York, NY, USA), ACM Press, 2006, pp. 261--270. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. M. Czerwinski, E. Horvitz, and S. Wilhite, A diary study of task switching and interruptions, Proc. SIGCHI '04, 2004, pp. 175--182. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. S. Dumais, E. Cutrell, J. Cadiz, G. Jancke, R. Sarin, and D. C. Robbins, Stuff i've seen: a system for personal information retrieval and re-use, Proc. SIGIR '03:, 2003, pp. 72--79. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. D. Elsweiler and I. Ruthven, Memory and email re-finding, In preparation for ACM TOIS CFP special issue on Keeping, Re-finding, and Sharing Personal Information (2007).Google ScholarGoogle Scholar
  11. D. Elsweiler, I. Ruthven, and C. Jones, Dealing with fragmented recollection of context in information management, Context-Based Information Retrieval (CIR-05) Workshop in CONTEXT-05, 2005.Google ScholarGoogle Scholar
  12. D. Elsweiler, I. Ruthven, and C. Jones, Towards memory supporting personal information management tools, (to appear in) Journal of the American Society for Information Science and Technology (2007). Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. D. Harman, What we have learned, and not learned, from trec, Proc. ECIR 2000, 2000.Google ScholarGoogle Scholar
  14. P. Ingwersen, Information retrieval interaction, Taylor Graham, 1992. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. D. Kelly, B. Bederson, M. Czerwinski, J. Gemmell, W. Pratt, and M. Skeels (eds.), Pim workshop report: Measurement and design, 2005.Google ScholarGoogle Scholar
  16. D. Kelly and J. Teevan, (to appear in) personal information management, ch. Understanding what works: Evaluating personal information management tools, Seattle: University of Washington Press., 2007.Google ScholarGoogle Scholar
  17. B. H. Kwasnik, How a personal document's intended use or purpose affects its classification in an office, SIGIR'89 23 (1989), no. SI, 207--210. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. M. W. Lansdale, The psychology of personal information management., Appl Ergon 19 (1988), no. 1, 55--66.Google ScholarGoogle ScholarCross RefCross Ref
  19. L. Palen and M. Salzman, Voice-mail diary studies for naturalistic data capture under mobile conditions, CSCW '02: Proceedings of the 2002 ACM conference on Computer supported cooperative work, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. M. Ringel, E. Cutrell, S. Dumais, and E. Horvitz, Milestones in time: The value of landmarks in retrieving information from personal stores., Proc. INTERACT 2003, 2003.Google ScholarGoogle Scholar
  21. G. Robertson, M. Czerwinski, K. Larson, D. C. Robbins, D. Thiel, and M. van Dantzich, Data mountain: using spatial memory for document management, Proc. UIST '98:, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. K. Rodden, How do people organise their photographs, BCS IRSG 21st Annual Colloquium on Information Retrieval Research, Glasgow, Scotland, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. D. C. Rubin and A. E. Wenzel, One hundred years of forgetting: A quantitative description of retention, Psychological Bulletin 103 (1996), 734--760.Google ScholarGoogle Scholar
  24. A. J. Sellen and R. H. R. Harper, The myth of the paperless office, MIT Press, Cambridge, MA, USA, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. P. Vakkari, Task complexity, problem structure and information actions: Integrating studies in on information seeking and retrieval., Information Processing and Management 35 (1999), 819--837. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. P. Vakkari, A theory of task-based information retrieval, Journal of Documentation 57 (2001), no. 1, 44--60.Google ScholarGoogle ScholarCross RefCross Ref

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    • Published in

      cover image ACM Conferences
      SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
      July 2007
      946 pages
      ISBN:9781595935977
      DOI:10.1145/1277741

      Copyright © 2007 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 23 July 2007

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