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Outlier finding: focusing user attention on possible errors
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Source Symposium on User Interface Software and Technology archive
Proceedings of the 14th annual ACM symposium on User interface software and technology table of contents
Orlando, Florida
SESSION: Papers: Managing user interaction table of contents
Pages: 81 - 90  
Year of Publication: 2001
ISBN:1-58113-438-X
Authors
Robert C. Miller  Carnegie Mellon University, Pittsburgh, PA
Brad A. Myers  Carnegie Mellon University, Pittsburgh, PA
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 25,   Citation Count: 16
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ABSTRACT

When users handle large amounts of data, errors are hard to notice. Outlier finding is a new way to reduce errors by directing the user's attention to inconsistent data which may indicate errors. We have implemented an outlier finder for text, which can detect both unusual matches and unusual mismatches to a text pattern. When integrated into the user interface of a PBD text editor and tested in a user study, outlier finding substantially reduced errors.


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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R.C. Miller and B. A. Myers. Lightweight structured text processing. In Proceedings of the 1999 USENIX Annual Technical Conference, pages 131-144, June 1999.
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S. Wu and U. Manber. Agrep - a fast approximate pattern searching tool. In Proceedings of the Winter USENIX Technical Conference, pages 153-162, 1992.

CITED BY  16

Collaborative Colleagues:
Robert C. Miller: colleagues
Brad A. Myers: colleagues