| Outlier finding: focusing user attention on possible errors |
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Symposium on User Interface Software and Technology
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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
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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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M.R. Anderberg. Cluster Analysis for Applications. Academic Press, 1973.
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V. Barnett and T. Lewis. Outliers in Statistical Data. Wiley, 2nd edition, 1984.
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L. Carroll. The Jabberwocky. Through the Looking-Glass and What Alice Found There, 1872.
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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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R. Morris and L. L. Cherry. Computer detection of typographical errors. Technical Report 18, Bell Laboratories, July 1974.
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P. G, Neumann (moderator). Risks Digest: Forum on risks to the public in computers and related systems, http://catless.ncl.ac.uk/Risks/. vl0 n23, v18 n24, v19 n12.
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A. Papoulis. Probability, Random Variables, andStochastic Processes. McGraw-Hill, 3rd edition, 1991.
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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.
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CITED BY 16
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Aaron Wilson , Margaret Burnett , Laura Beckwith , Orion Granatir , Ledah Casburn , Curtis Cook , Mike Durham , Gregg Rothermel, Harnessing curiosity to increase correctness in end-user programming, Proceedings of the SIGCHI conference on Human factors in computing systems, April 05-10, 2003, Ft. Lauderdale, Florida, USA
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T. J. Robertson , Shrinu Prabhakararao , Margaret Burnett , Curtis Cook , Joseph R. Ruthruff , Laura Beckwith , Amit Phalgune, Impact of interruption style on end-user debugging, Proceedings of the SIGCHI conference on Human factors in computing systems, p.287-294, April 24-29, 2004, Vienna, Austria
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Margaret Burnett , Curtis Cook , Omkar Pendse , Gregg Rothermel , Jay Summet , Chris Wallace, End-user software engineering with assertions in the spreadsheet paradigm, Proceedings of the 25th International Conference on Software Engineering, May 03-10, 2003, Portland, Oregon
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Cory Kissinger , Margaret Burnett , Simone Stumpf , Neeraja Subrahmaniyan , Laura Beckwith , Sherry Yang , Mary Beth Rosson, Supporting end-user debugging: what do users want to know?, Proceedings of the working conference on Advanced visual interfaces, May 23-26, 2006, Venezia, Italy
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Christopher Scaffidi , Allen Cypher , Sebastian Elbaum , Andhy Koesnandar , James Lin , Brad Myers , Mary Shaw, Using topes to validate and reformat data in end-user programming tools, Proceedings of the 4th international workshop on End-user software engineering, p.11-15, May 12-12, 2008, Leipzig, Germany
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Trausti Kristjansson , Aron Culotta , Paul Viola , Andrew McCallum, Interactive information extraction with constrained conditional random fields, Proceedings of the 19th national conference on Artifical intelligence, p.412-418, July 25-29, 2004, San Jose, California
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INDEX TERMS
Primary Classification:
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects:
Interaction styles (e.g., commands, menus, forms, direct manipulation)
Additional Classification:
I.
Computing Methodologies
I.7
DOCUMENT AND TEXT PROCESSING
I.7.1
Document and Text Editing
General Terms:
Algorithms,
Human Factors
Keywords:
LAPIS,
PBD,
cluster analysis,
intelligent user interfaces,
pattern matching,
programming-by-demonstration,
search-and-replace,
text editing,
unsupervised learning
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