Mobile and Ubiquitous Systems: Computing, Networking, and Services. 8th International ICST Conference, MobiQuitous 2011, Copenhagen, Denmark, December 6-9, 2011, Revised Selected Papers

Research Article

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

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  • @INPROCEEDINGS{10.1007/978-3-642-30973-1_1,
        author={Koh Sueda and Takashi Miyaki and Jun Rekimoto},
        title={Social Geoscape: Visualizing an Image of the City for Mobile UI Using User Generated Geo-Tagged Objects},
        proceedings={Mobile and Ubiquitous Systems: Computing, Networking, and Services. 8th International ICST Conference, MobiQuitous 2011, Copenhagen, Denmark, December 6-9, 2011, Revised Selected Papers},
        proceedings_a={MOBIQUITOUS},
        year={2012},
        month={10},
        keywords={Social tagging Visualization Design Urban sensing Mobile interaction Reverse geocoding AR Social Geoscape},
        doi={10.1007/978-3-642-30973-1_1}
    }
    
  • Koh Sueda
    Takashi Miyaki
    Jun Rekimoto
    Year: 2012
    Social Geoscape: Visualizing an Image of the City for Mobile UI Using User Generated Geo-Tagged Objects
    MOBIQUITOUS
    Springer
    DOI: 10.1007/978-3-642-30973-1_1
Koh Sueda, Takashi Miyaki1,*, Jun Rekimoto2,*
  • 1: Karlsruhe Institute of Technology
  • 2: The University of Tokyo
*Contact email: miyaki@acm.org, rekimoto@acm.org

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.