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Contextual contact retrieval
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Source International Conference on Intelligent User Interfaces archive
Proceedings of the 9th international conference on Intelligent user interfaces table of contents
Funchal, Madeira, Portugal
SESSION: Short Papers table of contents
Pages: 337 - 339  
Year of Publication: 2004
ISBN:1-58113-815-6
Authors
Jonathan Trevor  FX Palo Alto Laboratory, Palo Alto, CA
David M. Hilbert  FX Palo Alto Laboratory, Palo Alto, CA
Daniel Billsus  FX Palo Alto Laboratory, Palo Alto, CA
Jim Vaughan  FX Palo Alto Laboratory, Palo Alto, CA
Quan T. Tran  Georgia Institute of Technology, Atlanta, GA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 3,   Downloads (12 Months): 27,   Citation Count: 3
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ABSTRACT

People routinely rely on physical and electronic systems to remind themselves of details regarding personal and organizational contacts. These systems include rolodexes, directories and contact databases. In order to access details regarding contacts, users must typically shift their attention from tasks they are performing to the contact system itself in order to manually look-up contacts. This paper presents an approach for automatically retrieving contacts based on users' current context. Results are presented to users in a manner that does not disrupt their tasks, but which allows them to access contact details with a single interaction. The approach promotes the discovery of new contacts that users may not have found otherwise and supports serendipity.


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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Kautz, H., Selman, B., & Shah, M. (1997). The Hidden Web. AI Magazine, 18(2), 27--36.
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Budzik, J., and Hammond K. (1999). Watson: Anticipating and Contextualizing Information Needs. Proc. ASIS 1999.
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Collaborative Colleagues:
Jonathan Trevor: colleagues
David M. Hilbert: colleagues
Daniel Billsus: colleagues
Jim Vaughan: colleagues
Quan T. Tran: colleagues

Peer to Peer - Readers of this Article have also read: