UniWise: LetterWise pour Unistroke, la prédiction de texte pour améliorer la reconnaissance de geste
Pages 89 - 96
Abstract
Nowadays, linguistics and language processing represent an important part of the text entry domain. Prediction and/or automatic correction systems are often included in mobile devices with text entry capabilities. However, in gesture based text entry, few such systems are known. We propose UniWise, a system which combines Unistrokes, a gesture alphabet, and LetterWise, a disambiguation system. Our purpose was to study the fusion of the results from the gesture recognizer and results of the prediction system. Our system was tested with several fusion functions. The best function showed a theorical improvement of the recognition error rate of 17,23%. An experiment was conducted to measure the impact on user performance. The result was an improvement of 17,26% in the recognition error rate in the three last sessions and an improvement of 1,04 for the position of the correct character in the recognition result list. According to user feedback, the LetterWise component was transparent to the users.
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Index Terms
- UniWise: LetterWise pour Unistroke, la prédiction de texte pour améliorer la reconnaissance de geste
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Published In
September 2010
262 pages
ISBN:9781450304108
DOI:10.1145/1941007
- Conference Chairs:
- Bertrand David,
- Monique Noirhomme-Fraiture,
- André Tricot
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Published: 20 September 2010
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IHM '10
IHM '10: Conference Internationale Francophone sur I'Interaction Homme-Machine
September 20 - 23, 2010
Luxembourg, Luxembourg
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Overall Acceptance Rate 103 of 199 submissions, 52%
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