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Capricorn: an intelligent interface for mobile widgets
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International Conference on Intelligent User Interfaces archive
Proceedings of the 13th international conference on Intelligent user interfaces table of contents
Gran Canaria, Spain
DEMONSTRATION SESSION: Demonstrations table of contents
Pages 417-418  
Year of Publication: 2008
ISBN:978-1-59593-987-6
Authors
Fredrik Boström  University of Helsinki
Patrik Floréen  University of Helsinki
Tianyan Liu  University of Helsinki
Petteri Nurmi  University of Helsinki
Tiina-Kaisa Oikarinen  University of Helsinki
Akos Vetek  Nokia Research Center, Nokia Group
Péter Boda  Nokia Research Center, Nokia Group
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
AAAI : Association for the Advancement of Artifical Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Widgets are embeddable objects that provide easy and ubiquitous access to dynamic information sources, for example weather, news or TV program information. Widgets are typically rather static - they provide the information regardless of whether the information is relevant to the user's current information needs. In this paper we introduce Capricorn, which is an intelligent interface for mobile widgets. The interface uses various adaptive web techniques for facilitating navigation. For example, we use collaborative filtering to recommend suitable widgets and we dim infrequently used widgets. The demonstration presents the Capricorn interface focusing on the adaptive parts of the interface. The user interface is web-based, and as such platform independent. However, our target environment is mobile phones, and thus the interface has been optimized for mobile phones.


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.

 
1
Nurmi, P., Kukkonen, J., Lagerspetz, E., Suomela, J., and Floréen, P. BeTelGeuse - a tool for Bluetooth data gathering. In Proc. BodyNets 2007.
 
2


Collaborative Colleagues:
Fredrik Boström: colleagues
Patrik Floréen: colleagues
Tianyan Liu: colleagues
Petteri Nurmi: colleagues
Tiina-Kaisa Oikarinen: colleagues
Akos Vetek: colleagues
Péter Boda: colleagues