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Social Geoscape: Visualizing an Image of the City for Mobile UI Using User Generated Geo-Tagged Objects

  • Koh Sueda
  • Takashi Miyaki
  • Jun Rekimoto
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 104)

Abstract

In this paper, we propose a people-powered location recognition application, Social Geoscape (SGS) that provides highly descriptive geographical information to mobile users. GPS provides the user with latitude and longitude values; however, these values are cumbersome for determining a precise location. A traditional reverse-geocoding database system (i.e., one that converts latitude and longitude values into street addresses) provides locative information based on administrative labeling, but people often do not recognize locations or their surrounding environs from street addresses alone. To address this problem with location recognition, we have created Social Geoscape, a reverse geocoding system that enhances locative data with user-generated information and provides assistance through a mobile interface.

Keywords

Social tagging Visualization Design Urban sensing Mobile interaction Reverse geocoding AR Social Geoscape 

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References

  1. 1.
    Lynch, K.: The Image of the City. MIT Press (1960)Google Scholar
  2. 2.
    Lamere, P.: Social Tagging And Music Information Retrieval. Journal of New Music Research 37(2), 101–114 (2008)CrossRefGoogle Scholar
  3. 3.
    Alexander, C.: A city is not a tree (1965)Google Scholar
  4. 4.
    Davis, M., et al.: From context to content: Leveraging context to infer media metadata. In: Proc. 12th Annual ACM International Conference on Multimedia (2004)Google Scholar
  5. 5.
  6. 6.
  7. 7.
  8. 8.
    Watanabe, et al.: WillCam: a digital camera visualizing users’ interest. In: Proc. CHI 2007 Conference Proceedings and Extended Abstracts, pp. 2747–2752 (2007)Google Scholar
  9. 9.
    Rattenbury, et al.: Towards automatic extraction of event and place semantics from flickr tags. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 23-27, Amsterdam, The Netherlands (2007)Google Scholar
  10. 10.
    Kalnikaite, et al.: Now let me see where I was: understanding how lifelogs mediate memory. In: Proceedings of the 28th International Conference on Human Factors in Computing Systems CHI 2010, Atlanta, pp. 2045–2054 (2010)Google Scholar
  11. 11.
    Kennedy, L., et al.: How flickr helps us make sense of the world: Context and content in community-contributed media collections. In: Proc. 15th International Conference on Multimedia, pp. 631–640 (2007)Google Scholar
  12. 12.
    Tagmap, Yahoo! Research Berkeley, http://tagmaps.research.yahoo.com/worldexplorer.php
  13. 13.
    Persson, P., et al.: GeoNotes: social enhancement of physical space. In: CHI 2001: CHI 2001 Extended Abstracts on Human Factors in Computing Systems, pp. 43–44. ACM Press (2001)Google Scholar
  14. 14.
    Masui, T., Minakuchi, M., Borden IV, G.R., Kashiwagi, K.: Multiple-view approach for smooth information retrieval. In: Proceedings of the ACM Symposium on User Interface Software and Technology (UIST 1995), pp. 199–206. ACM Press (November 1995)Google Scholar
  15. 15.
    Nakanishi, Y., Motoe, M., Matsukawa, S.: JIKUKAN-POEMER: Geographic Information System Using Camera Phone Equipped with GPS, and Its Exhibition on a Street. In: Brewster, S., Dunlop, M.D. (eds.) Mobile HCI 2004. LNCS, vol. 3160, pp. 486–490. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  16. 16.
    Clawson, et al.: Mobiphos: a collocated-synchronous mobile photo sharing application. In: MobileHCI 2008 (2008)Google Scholar
  17. 17.
    Hwang, A., et al.: Zurfer: Mobile Multimedia Access in Spatial, Social and Topical Context. In: Proc. Fifteenth ACM International Conference on Multimedia (2007)Google Scholar
  18. 18.
    Rekimoto, J., Miyaki, T., Ishizawa, T.: LifeTag: WiFi-Based Continuous Location Logging for Life Pattern Analysis. In: Hightower, J., Schiele, B., Strang, T. (eds.) LoCA 2007. LNCS, vol. 4718, pp. 35–49. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  19. 19.
    Sellen, K., et al.: Do life-logging, technologies support memory for the past? An experimental study using SenseCam. In: Conference on Human Factors in Computing Systems, Irvine, CA, pp. 81–90 (2007)Google Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2012

Authors and Affiliations

  • Koh Sueda
    • 1
    • 2
  • Takashi Miyaki
    • 3
  • Jun Rekimoto
    • 4
  1. 1.The Univesity of TokyoJapan
  2. 2.National University of SingaporeSingapore
  3. 3.Karlsruhe Institute of TechnologyGermany
  4. 4.Sony CSLThe University of TokyoJapan

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