NDLI: CueTIP: a mixed-initiative interface for correcting handwriting errors

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CueTIP: a mixed-initiative interface for correcting handwriting errors

Content Provider	ACM Digital Library
Author	Simard, Patrice Tan, Desney S. Shilman, Michael
Abstract	With advances in pen-based computing devices, handwriting has become an increasingly popular input modality. Researchers have put considerable effort into building intelligent recognition systems that can translate handwriting to text with increasing accuracy. However, handwritten input is inherently ambiguous, and these systems will always make errors. Unfortunately, work on error recovery mechanisms has mainly focused on interface innovations that allow users to manually transform the erroneous recognition result into the intended one. In our work, we propose a mixed-initiative approach to error correction. We describe CueTIP, a novel correction interface that takes advantage of the recognizer to continually evolve its results using the additional information from user corrections. This significantly reduces the number of actions required to reach the intended result. We present a user study showing that CueTIP is more efficient and better preferred for correcting handwriting recognition errors. Grounded in the discussion of CueTIP, we also present design principles that may be applied to mixed-initiative correction interfaces in other domains.
Ending Page	332
Page Count	10
Starting Page	323
File Format	PDF MP4 MP2 / MPA / MP3
ISBN	1595933131
DOI	10.1145/1166253.1166304
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-10-15
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Handwriting recognition Mixed initiative Constraints User study Correction interface
Content Type	Audio Text
Resource Type	Article

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