Kartta

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

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ACM International Conference Proceeding Series archive
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services table of contents

Bonn, Germany

POSTER SESSION: Posters table of contents

Article No. 72

Year of Publication: 2009

ISBN:978-1-60558-281-8

Authors

Arttu Perttula	Tampere University of Technology, Pori, Finland
Scott Carter	FX Palo Alto Laboratory, Inc., Palo Alto, CA
Laurent Denoue	FX Palo Alto Laboratory, Inc., Palo Alto, CA

Sponsors

SIGCHI : Specialist Interest Group in Computer-Human Interaction of the ACM
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

Publisher

ACM New York, NY, USA

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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

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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	5	M. Massimi et al. Scavenger hunt: An empirical method for mobile collaborative problem-solving. IEEE Pervasive Computing, 6(1):81--87, 2007.