NDLI: Evaluating an Interactive-Predictive Paradigm on Handwriting Transcription: A Case Study and Lessons Learned

Content Provider	IEEE Xplore Digital Library
Author	Leiva, L.A. Romero, V. Toselli, A.H. Vidal, E.
Copyright Year	2011
Abstract	Transcribing handwritten text is a laborious task which currently is carried out manually. As the accuracy of automatic handwritten text recognizers improves, post-editing the output of these recognizers could be foreseen as a possible alternative. Alas, the state-of-the-art technology is not suitable to perform this kind of work, since current approaches are not accurate enough and the process is usually both inefficient and uncomfortable for the user. As alternative, an interactive-predictive paradigm has gained recently an increasing popularity, mainly due to promising empirical results that estimate considerable reductions of user effort. In order to assess whether these empirical results can lead indeed to actual benefits, we developed a working prototype and conducted a field study remotely. Thirteen regular computer users tested two different transcription engines through the above-mentioned prototype. We observed that the interactive-predictive version allowed to transcribe better (less errors and fewer iterations to achieve a high-quality output) in comparison to the manual engine. Additionally, participants ranked higher such an interactive-predictive system in a usability questionnaire. We describe the evaluation methodology and discuss our preliminary results. While acknowledging the known limitations of our experimentation, we conclude that the interactive-predictive paradigm is an efficient approach for transcribing handwritten text.
Starting Page	610
Ending Page	617
File Size	800131
Page Count	8
File Format	PDF
ISBN	9781457705441
ISSN	07303157
e-ISBN	9780769544397
DOI	10.1109/COMPSAC.2011.85
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-18
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Manuals Engines Humans Handwriting recognition Training Prototypes Time measurement field study Handwriting Recognition Interactive Transcription
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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