| Contextual contact retrieval |
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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
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Authors
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Jonathan Trevor
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FX Palo Alto Laboratory, Palo Alto, CA
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David M. Hilbert
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FX Palo Alto Laboratory, Palo Alto, CA
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Daniel Billsus
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FX Palo Alto Laboratory, Palo Alto, CA
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Jim Vaughan
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FX Palo Alto Laboratory, Palo Alto, CA
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Quan T. Tran
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Georgia Institute of Technology, Atlanta, GA
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| Bibliometrics |
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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Bonnie A. Nardi , Steve Whittaker , Ellen Isaacs , Mike Creech , Jeff Johnson , John Hainsworth, Integrating communication and information through ContactMap, Communications of the ACM, v.45 n.4, p.89-95, April 2002
[doi> 10.1145/505248.505251]
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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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Paul P. Maglio , Rob Barrett , Christopher S. Campbell , Ted Selker, SUITOR: an attentive information system, Proceedings of the 5th international conference on Intelligent user interfaces, p.169-176, January 09-12, 2000, New Orleans, Louisiana, United States
[doi> 10.1145/325737.325821]
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CITED BY 3
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Alessandra A. Macedo , Laércio Baldochi, Jr. , José A. Camacho-Guerrero , Renan G. Cattelan , Maria Da Pimentel, Automatically linking live experiences captured with a ubiquitous infrastructure, Multimedia Tools and Applications, v.37 n.2, p.93-115, April 2008
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