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Kartta: extracting landmarks near personalized points-of-interest from user generated content

Published: 15 September 2009 Publication History

Abstract

Most mobile navigation systems focus on answering the question, "I know where I want to go, now can you show me exactly how to get there?" While this approach works well for many tasks, it is not as useful for unconstrained situations in which user goals and spatial landscapes are more fluid, such as festivals or conferences. In this paper we describe the design and iteration of the Kartta system, which we developed to answer a slightly different question: "What are the most interesting areas here and how do I find them?"

References

[1]
J. Baus et al. Auditory perceptible landmarks in mobile navigation. In IUI '07, pp. 302--304.
[2]
M. Fleck et al. From informing to remembering: Ubiquitous systems in interactive museums. IEEE Pervasive Computing, 1(2):13--21, 2002.
[3]
F. Grabler et al. Automatic generation of tourist maps. In Siggraph '08, pp. 1--11.
[4]
A. Jaffe et al. Generating summaries and visualization for large collections of geo-referenced photographs. In MIR '06, pp. 89--98.
[5]
M. Massimi et al. Scavenger hunt: An empirical method for mobile collaborative problem-solving. IEEE Pervasive Computing, 6(1):81--87, 2007.

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  1. Kartta: extracting landmarks near personalized points-of-interest from user generated content

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    cover image ACM Other conferences
    MobileHCI '09: Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
    September 2009
    473 pages
    ISBN:9781605582818
    DOI:10.1145/1613858

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 15 September 2009

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    Author Tags

    1. media
    2. mobile
    3. navigation

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    MobileHCI '09 Paper Acceptance Rate 23 of 95 submissions, 24%;
    Overall Acceptance Rate 202 of 906 submissions, 22%

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