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Distributed mediation of ambiguous context in aware environments
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Source Symposium on User Interface Software and Technology archive
Proceedings of the 15th annual ACM symposium on User interface software and technology table of contents
Paris, France
SESSION: Speech and ambiguous input table of contents
Pages: 121 - 130  
Year of Publication: 2002
ISBN:1-58113-488-6
Authors
Anind Dey  Intel Research, Berkeley Intel Corporation and UC Berkeley Berkeley, CA
Jennifer Mankoff  UC Berkeley Berkeley, CA
Gregory Abowd  Georgia Institute of Technology, Atlanta, GA
Scott Carter  UC Berkeley, Berkeley, CA
Sponsor
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 8,   Downloads (12 Months): 62,   Citation Count: 13
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ABSTRACT

Many context-aware services make the assumption that the context they use is completely accurate. However, in reality, both sensed and interpreted context is often ambiguous. A challenge facing the development of realistic and deployable context-aware services, therefore, is the ability to handle ambiguous context. In this paper, we describe an architecture that supports the building of context-aware services that assume context is ambiguous and allows for mediation of ambiguity by mobile users in aware environments. We illustrate the use of our architecture and evaluate it through three example context-aware services, a word predictor system, an In/Out Board, and a reminder tool.


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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CITED BY  13

Collaborative Colleagues:
Anind Dey: colleagues
Jennifer Mankoff: colleagues
Gregory Abowd: colleagues
Scott Carter: colleagues