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Supporting user hypotheses in problem diagnosis
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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: User modeling I table of contents
Pages: 30 - 37  
Year of Publication: 2004
ISBN:1-58113-815-6
Authors
Earl J. Wagner  MIT Media Laboratory, Cambridge MA
Henry Lieberman  MIT Media Laboratory, Cambridge MA
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): 10,   Downloads (12 Months): 29,   Citation Count: 5
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ABSTRACT

People are performing increasingly complicated actions on the web, such as automated purchases involving multiple sites. Things often go wrong, however, and it can be difficult to diagnose a problem in a complex process. Information must be integrated from multiple sites before relations among processes and data can be visualized and understood. Once the source of a problem has been diagnosed, it can be tedious to explain the process of diagnosis to others, and difficult to review the steps later.We present a web interface agent, Woodstein, that monitors user actions on the web and retrieves related information to assemble an integrated view of an action. It manages user hypotheses during problem diagnosis by capturing users' judgments of the correctness of data and processes. These hypotheses can be shared with others, including customer service representatives, or accessed later. We will see this feature in the context of diagnosing problems on the web, and discuss its broader applicability to system interfaces in general.


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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Earl J. Wagner. Woodstein: A web interface agent for debugging e-commerce. Master's thesis, MIT Media Laboratory, 2003.
 
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CITED BY  5

Collaborative Colleagues:
Earl J. Wagner: colleagues
Henry Lieberman: colleagues