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The information flaneur: a fresh look at information seeking

Published:07 May 2011Publication History

ABSTRACT

We introduce the information flaneur as a new human-centred view on information seeking that is grounded in interdisciplinary research. We use the metaphor of the urban flaneur making sense of a city as an inspiring lens that brings together diverse perspectives. These perspectives shift information seeking towards a more optimistic outlook: the information flaneur represents curious, creative, and critical information seeking. The resulting information-seeking model conceptualizes the interrelated nature between information activities and experiences as a continuum between horizontal exploration and vertical immersion. Motivated by enabling technological trends and inspired by the information flaneur, we present explorability as a new guiding principle for design and raise research challenges regarding the representation of information abstractions and details.

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References

  1. R. Agarwal and E. Karahanna. Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS quarterly, 24(4):665--694, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. C. Ahlberg and B. Shneiderman. Visual information seeking: Tight coupling of dynamic query filters with starfield displays. Proc. of ACM CHI, pp. 313--317, 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. S. Auer, C. Bizer, G. Kobilarov, J. Lehmann, R. Cyganiak, and Z. Ives. DBpedia: A nucleus for a web of open data. Proc. of International Semantic Web Conference, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. M. Bates. The design of browsing and berrypicking techniques for the online search interface. Online Information Review, 13(5):407--424, 1989.Google ScholarGoogle ScholarCross RefCross Ref
  5. N. Belkin, R. Oddy, and H. Brooks. ASK for information retrieval: Part I. background and theory. Journal of Documentation, 38(2):61--71, 1982.Google ScholarGoogle ScholarCross RefCross Ref
  6. W. Benjamin. Charles Baudelaire: A Lyric Poet in the Era of High Capitalism, chapter The Paris of the Second Empire in Baudelaire: II The Flâneur, pp. 35--66. NLB, 1973.Google ScholarGoogle Scholar
  7. A. Broder, E. Churchill, M. Hearst, B. Pell, P. Raghavan, and A. Tomkins. Search is dead!: long live search (panel). Proc. of WWW Conference, pp. 1337--1338, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. S. Card, J. Mackinlay, and B. Shneiderman. Using Vision to Think, chapter 1: Information Visualization, pp. 1--34. Morgan Kaufmann, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. S. Chang and R. Rice. Browsing: A multidimensional framework. Annual review of information science and technology (ARIST), 28:231--76, 1993.Google ScholarGoogle Scholar
  10. E. Chi, P. Pirolli, K. Chen, and J. Pitkow. Using information scent to model user information needs and actions and the web. Proc. of ACM CHI, pp. 490--497, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. A. Cooper and R. Reimann. About Face 2.0: The Essentials of Interaction Design. Wiley, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. J. Cove and B. Walsh. Online text retrieval via browsing. Information Processing & Management, 24(1):31--37, 1988. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. M. Csíkszentmihályi. Flow: The psychology of optimal experience. Basic Books, 1997.Google ScholarGoogle Scholar
  14. B. Dervin. An overview of sense-making research: Concepts, methods and results to date. International Communication Association annual meeting, 1983.Google ScholarGoogle Scholar
  15. M. Dörk, S. Carpendale, C. Collins, and C. Williamson. VisGets: Coordinated visualizations for web-based information exploration and discovery. IEEE Transactions on Visualization and Computer Graphics (TVCG), 14(6):1205--1212, Nov/Dec 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. M. Dörk, D. Gruen, C. Williamson, and S. Carpendale. A visual backchannel for large-scale events. IEEE TVCG, 16(6):1129--1138, Nov/Dec 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. J. English, M. Hearst, R. Sinha, K. Swearingen, and K. Yee. Flexible search and navigation using faceted metadata. Proc. of ACM SIGIR Conference, pp. 11--15, 2002.Google ScholarGoogle Scholar
  18. S. Erdelez. Information encountering: It's more than just bumping into information. Bulletin of the American Society for Information Science, 25(3):25--29, 1999.Google ScholarGoogle ScholarCross RefCross Ref
  19. A. Foster. A nonlinear model of information-seeking behavior. Journal of the American Society for Information Science and Technology, 55(3):228--237, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. A. Foster and N. Ford. Serendipity and information seeking: An empirical study. Journal of Documentation, 59(3):321--340, May 2003.Google ScholarGoogle ScholarCross RefCross Ref
  21. C. Fulton. The pleasure principle: the power of positive affect in information seeking. Aslib Proceedings: New Information Perspectives, 61(3):245--261, 2009.Google ScholarGoogle ScholarCross RefCross Ref
  22. M. Gluck. The flaneur and the aesthetic: Appropriation of urban culture in mid-19th-century paris. Theory, Culture & Society, 20(5):53--80, 2003.Google ScholarGoogle Scholar
  23. E. Goldman. Search engine bias and the demise of search engine utopianism. Web Search, 14(III):121--133, 2008.Google ScholarGoogle Scholar
  24. S. Greenberg and B. Buxton. Usability evaluation considered harmful (some of the time). Proc. of ACM CHI, pp. 111--120, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. J. Guthrie and P. Mosenthal. Literacy as multidimensional: Locating information and reading comprehension. Educational Psychologist, 22(3):279--297, 1987.Google ScholarGoogle ScholarCross RefCross Ref
  26. S. Havre, E. Hetzler, P. Whitney, and L. Nowell. ThemeRiver: Visualizing thematic changes in large document collections. IEEE TVCG, 8(1):9--20, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. C. Healey, K. Booth, and J. Enns. High-speed visual estimation using preattentive processing. Transactions on Computer-Human Interaction, 3(2):107--135, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. M. Hearst. TileBars: Visualization of term distribution information in full text information access. Proc. of ACM CHI, pp. 59--66, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. C. Jenks. Visual Culture, chapter 8 Watching Your Step: The history and practice of the flâneur, pp. 142--160. Routledge, 1995.Google ScholarGoogle Scholar
  30. J. Kari and J. Hartel. Information and higher things in life: Addressing the pleasurable and the profound in information science. Journal of the American Society for Information Science and Technology, 58(8):1131--1147, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. T. Kashdan, P. Rose, and F. Fincham. Curiosity and exploration: Facilitating positive subjective experiences and personal growth opportunities. Journal of Personality Assessment, 82(3):291--305, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  32. A. Kerne, E. Koh, S. Smith, A. Webb, and B. Dworaczyk. combinformation: Mixed-initiative composition of image and text surrogates promotes information discovery. TOIS: Transactions on Information Systems, 27(1):5:1--5:45, December 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. R. Khare and T. Çelik. Microformats: a pragmatic path to the semantic web. Proc. of WWW Conference, pp. 865--866, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. R. Klein. Inhibition of return. Trends in Cognitive Sciences, 4(4):138--147, 2000.Google ScholarGoogle ScholarCross RefCross Ref
  35. C. Kuhlthau. Inside the search process: Information seeking from the user's perspective. Journal of the American Society for Information Science, 42(5):361--371, 1991.Google ScholarGoogle ScholarCross RefCross Ref
  36. B. Kules, R. Capra, M. Banta, and T. Sierra. What do exploratory searchers look at in a faceted search interface? Proc. of ACM/IEEE Joint Conference on Digital Libraries, pp. 313--322, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. B. Kwasnik. A descriptive study of the functional components of browsing. Proc. IFIP TC2/WG2.7 Working Conference on Engineering for Human-Computer Interaction, pp. 191--203, 1992. Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. L. Leahu, J. Thom-Santelli, C. Pederson, and P. Sengers. Taming the situationist beast. Proc. of ACM Conference on Designing Interactive Systems,pp. 203--211, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  39. G. Marchionini. Exploratory search: From finding to understanding. Communications of the ACM, 49(4):41--46, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. P. McKenzie. A model of information practices in accounts of everyday-life information seeking. Journal of Documentation, 59(1):19--40, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  41. G. Miller. The Study of Information: Interdisciplinary Messages, chapter Informavores, pp. 111--113. Wiley-Interscience, 1983.Google ScholarGoogle Scholar
  42. J. Nielson. Usability Engineering, chapter 2: What is Usability, pp. 23--48. Morgan Kaufmann, 1993.Google ScholarGoogle ScholarCross RefCross Ref
  43. P. Pirolli and S. Card. Information foraging in information access environments. Proc. of ACM CHI, pp. 51--58, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. Z. Pousman, J. Stasko, and M. Mateas. Casual information visualization: Depictions of data in everyday life. IEEE TVCG, 13(6):1145--1152, Nov/Dec 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. D. Rosenberg. Early modern information overload. Journal of the History of Ideas, 64(1):1--9, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  46. C. Ross. Finding without seeking: the information encounter in the context of reading for pleasure. Information Processing & Management, 35(6):783--799, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  47. D. Russell, M. Stefik, P. Pirolli, and S. Card. The cost structure of sensemaking. Proc. of ACM CHI, pp. 269--276, 1993. Google ScholarGoogle ScholarDigital LibraryDigital Library
  48. R. Savolainen. Everyday life information seeking: approaching information seeking in the context of "way of life". Library & Information Science Research, 17(3):259--294, 1995.Google ScholarGoogle ScholarCross RefCross Ref
  49. m. c. schraefel. Building knowledge: What's beyond keyword search? Computer, 42(3):52--59, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  50. B. Shneiderman. The eyes have it: A task by data type taxonomy for information visualizations. Proc. IEEE Symposium on Visual Languages, pp. 336--343, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  51. A. Smith. Mobile access 2010. Technical report, The Pew Research Center, 2010. http://pewinternet.org/Reports/2010/Mobile-Access-2010.aspx.Google ScholarGoogle Scholar
  52. A. Spoerri. InfoCrystal: A visual tool for information retrieval. Proc. IEEE Conference on Visualization, pp. 150--157, 1993. Google ScholarGoogle ScholarDigital LibraryDigital Library
  53. J. Teevan, C. Alvarado, M. Ackerman, and D. Karger. The perfect search engine is not enough: a study of orienteering behavior in directed search. Proc. of ACM CHI, pp. 415--422, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  54. E. Toms. Understanding and facilitating the browsing of electronic text. International Journal of Human-Computer Studies, 52(3):423--452, 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  55. E. Toms. Information interaction: Providing a framework for information architecture. Journal of the American Society for Information Science and Technology, 53(10):855--862, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  56. A. Treisman and G. Gelade. A feature-integration theory of attention. Cognitive psychology, 12(1):97--136, 1980.Google ScholarGoogle ScholarCross RefCross Ref
  57. L. Udsen and A. Jørgensen. The aesthetic turn: unravelling recent aesthetic approaches to human-computer interaction. Digital Creativity, 16(4):205--216, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  58. W3C. HTML5: A vocabulary and associated APIs for HTML and XHTML: Editor's Draft 12 January 2011. http://dev.w3.org/html5/spec/Overview.html.Google ScholarGoogle Scholar
  59. Z. Wang and R. Klein. Searching for inhibition of return in visual search: A review. Vision research, 50(2):220--228, 2010.Google ScholarGoogle ScholarCross RefCross Ref
  60. R. White, B. Kules, S. Drucker, and m. c. schraefel. Supporting exploratory search: Introduction. Communications of the ACM, 49(4):36--39, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  61. R. White and R. Roth. Exploratory Search: Beyond the Query-Response Paradigm. Number 3 in Synthesis Lectures on Information Concepts, Retrieval, and Services. Morgan & Claypool Publishers. Google ScholarGoogle ScholarDigital LibraryDigital Library
  62. K. Williamson. Discovered by chance: The role of incidental information acquisition in an ecological model of information use. Library & Information Science Research, 20(1):23--40, 1998.Google ScholarGoogle ScholarCross RefCross Ref
  63. T. Wilson. Information behaviour: An interdisciplinary perspective. Information Processing & Management, 33(4):551--572, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  64. J. Wolfe. Moving towards solutions to some enduring controversies in visual search. Trends in Cognitive Sciences, 7(2):70--76, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  65. D. Woods. Visual momentum: A concept to improve the cognitive coupling of person and computer. International Journal of Man-Machine Studies, 21(3):229--244, 1984. Google ScholarGoogle ScholarDigital LibraryDigital Library
  66. K. Yee, K. Swearingen, K. Li, and M. Hearst. Faceted metadata for image search and browsing. Proc. of ACM CHI, pp. 401--408, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library

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      • Published in

        cover image ACM Conferences
        CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
        May 2011
        3530 pages
        ISBN:9781450302289
        DOI:10.1145/1978942

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        • Published: 7 May 2011

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        CHI '11 Paper Acceptance Rate410of1,532submissions,27%Overall Acceptance Rate6,199of26,314submissions,24%

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