journal contribution
posted on 2001-01-01, 00:00 authored by Robert C. Miller, Brad A. Myers 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.
History
Publisher Statement
Copyright © 2001 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org.
© ACM, 2001. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 14th annual ACM symposium on User interface software and technology {1-58113-438-X (2001)}
http://doi.acm.org/10.1145/502348.502361Date
2001-01-01