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Time, topic and trawl: stories about how we reach our past

Published: 11 June 2012 Publication History

Abstract

Legacy web tools attempt to build on information that uses have when they originally conduct web research. In contrast, we examine the information that they have at the time when they attempt to recreate their past. We interviewed 11 non-expert users twice a week for eight weeks in their own physical and computational environments. We used both Google web histories and the prototype Research Trails system as prompts to probe how the participants viewed their past web experiences and how they reconstructed them. The Research Trails system lets users utilize information about both time and topic to help themselves remember and resume everyday research tasks. Based on these observations, a model of users' perceived past web activities informed the iterative refinement of the Research Trails system. The user may see a past action as belonging to multiple categories at the same time or as in different categories at different times.

References

[1]
Abrams, D. and Baecker, R., How people use WWW bookmarks, Ext. Abstracts CHI 1997
[2]
Aula, A, Jhaveri, N, and Käki, M., Information search and re-access strategies of experienced web users, In Proc. of WWW 2005
[3]
Bates, M. J., The design of browsing and berrypicking techniques for the online search interface. Online Review, 1989. 13(5): p. 407--424.
[4]
Brown, N. R., Rips, L. J., and Shevell, S. K., The subjective dates of natural events in very-long-term memory. Cognitive Psychology, 1985. 17: p. 139--177.
[5]
Chirita, P. A., Firan, C. S., and Nejdl, W., Personalized query expansion for the web, In Proc. of Research and development in information retrieval. 2007
[6]
Choo, C. W., Detlor, B., and Turnbull, D., Information Seeking on the Web: An Integrated Model of Browsing and Searching. American Society for Information Science. 2000.
[7]
Cockburn, A. and McKenzie, B., What do web users do? An empirical analysis of web use. International Journal of Human-Computer Studies, 2001. 54(6)
[8]
Cockburn, A., et al. WebView: A Graphical Aid for Revisiting Web Pages. In Proc. of OZCHI. 1999.
[9]
Dragunov, A. N., et al., TaskTracer: a desktop environment to support multi-tasking knowledge workers, In Proc. of IUI'05
[10]
Eysenck, M. W. and Keane, M. T., Cognitive Psychology. Psychology Press. 2010
[11]
Feng, Y. and Börner, K., Using Semantic Treemaps to categorize and visualize bookmark files. In Proc. of SPIE - Visualization and Data Analysis, vol. 4665. 2002
[12]
Harrison, S., Tatar, D. and Sengers, P. The Three Paradigms of HCI. alt.chi Presentation, at CHI 2007
[13]
Hascoët, M., A user interface combining navigation aids, In Proc. of Hypertext and hypermedia. 2000
[14]
Hightower, R. R., et al., Graphical multiscale Web histories: a study of padprints, In Proc. of Hypertext and hypermedia. 1998
[15]
Huang, J. and White, R. W. Parallel browsing behavior on the web, In Proc. of Hypertext and hypermedia. 2010
[16]
Jones, W., Bruce, H. and Dumais, S., Keeping found things found on the web, In Proc. of Information and knowledge management. 2001
[17]
Jones, W., et al., H., Once found, what then? A study of "keeping" behaviors in the personal use of Web information. In Proc. of the American Society for Information Science and Technology. 2002.
[18]
Kaasten, S. and Greenberg, S., Integrating back, history and bookmarks in web browsers, Ext. Abstract CHI '01
[19]
Kalnikaite, V., Sellen, A. and Whittaker, S., Now let me see where I was: understanding how lifelogs mediate memory, In Proc. of CHI 2010
[20]
Kaptelinin, V. UMEA: translating interaction histories into project contexts. In Proc. of CHI 2003
[21]
Kay, B., and Watters, C. Exploring multi-session web tasks. In Proc. of CHI 2008
[22]
Kellar, M., Watters, C., and Shepherd, M. A Goal-based Classification of Web Information Tasks. In Proc. of the American Society for Information Science and Technology, 2006. 43(1): p. 1--22.
[23]
Kuhlthau, C., Inside the search process: Information seeking from the user's perspective. Journal of the American Society for Information Science, 1991. 42(5)
[24]
LeeTiernan, S., et al., Two methods for auto-organizing personal web history, Ext. Abstract CHI '03
[25]
Li, H. and Yamanishi, K., Document classification using a finite mixture model, In Proc. of Annual Meeting on Association for Computational Linguistics. 1997
[26]
Liu, J., Hong, P. J. and Pedersen, E. R., Research trails: getting back where you left off. In Proc. of WWW '10
[27]
Luxenburger, J., et al., Matching task profiles and user needs in personalized web search, in Proc. of Information and knowledge management. 2008
[28]
Marchionini, G. M., Information Seeking in Electronic Environments. 1995: Cambridge University Press.
[29]
Moore, B., Kleek, M. V. and Karger, D., Eyebrowse. Available from: http://eyebrowse.csail.mit.edu/.
[30]
O'Day, V. and Jeffries, R. Orienteering in an information landscape: how information seekers get from here to there. In Proc. of CHI 1993
[31]
Pedersen, E. R, Gyllstrom, K. Gu S., and Hong, P. J. Automatic generation of research trails in web history. In Proc. of IUI '10
[32]
Pirolli, P. and Card, S. K., Information foraging. Psychological Review, 1999. 106(4): p. 643--675.
[33]
Qiu, F. and Cho, J., Automatic identification of user interest for personalized search. In Proc. of WWW 2006
[34]
Sefelin, R., et al., V. Paper prototyping - what is it good for?: a comparison of paper- and computer-based low-fidelity prototyping, Ext. abstracts CHI '03
[35]
Sellen, A., Murphy, R., and Shaw, K. L. How knowledge workers use the web. In Proc. of CHI 2002
[36]
Sellen, A. and Whittaker, S., Beyond total capture: a constructive critique of lifelogging, Communications of the ACM, 2010.
[37]
Sengers, P. and Gaver, B., Staying open to interpretation: engaging multiple meanings in design and evaluation. In Proc. of DIS 2006
[38]
Shum, M. S., & Rips, L. J. (1999). The respondent's confession: Autobiographical memory in the context of surveys. In Sirken, M., et al. (Eds.), Cognition and survey research (pp. 95--109). Wiley.
[39]
Staff, C. and Bugeja, I., Automatic classification of web pages into bookmark categories, In Proc. of Research and development in information retrieval. 2007
[40]
Tauscher, L. and Greenberg, S., How people revisit web pages: empirical findings and implications for the design of history systems. Int. J. Hum.-Comput. Stud., 1997. 47(1): p. 97--137.
[41]
Tauscher, L. and Greenberg, S., Revisitation patterns in World Wide Web navigation, In Proc. of CHI 1997
[42]
Weinreich, H., et al., Off the beaten tracks: exploring three aspects of web navigation, In Proc. of WWW 2006
[43]
White, R. and Roth, R. A., Exploratory Search: Beyond the Query-Response. Morgan and Claypool Publishers.
[44]
Wilson, T. D., Information behavior: an interdisciplinary perspective. Information Processing & Management, 1997. 33(4): p. 551--572.
[45]
Won, S., Jin, J., and Hong, J. I., Contextual web history: using visual and contextual cues to improve web browser history. In Proc. of CHI 2009
[46]
Yamaguchi, T., et al., On a web browsing support system with 3d visualization, In Proc. of WWW 2004

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  • (2018)Conceptualizing the everyday life application componentsProceedings of the 30th Australian Conference on Computer-Human Interaction10.1145/3292147.3292195(88-91)Online publication date: 4-Dec-2018

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    cover image ACM Conferences
    DIS '12: Proceedings of the Designing Interactive Systems Conference
    June 2012
    828 pages
    ISBN:9781450312103
    DOI:10.1145/2317956
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    Published: 11 June 2012

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    Author Tags

    1. early research
    2. information retrieval
    3. information seeking
    4. revisitation
    5. web search

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    DIS '12: Designing Interactive Systems Conference 2012
    June 11 - 15, 2012
    Newcastle Upon Tyne, United Kingdom

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    • (2018)Conceptualizing the everyday life application componentsProceedings of the 30th Australian Conference on Computer-Human Interaction10.1145/3292147.3292195(88-91)Online publication date: 4-Dec-2018

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