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TapList: testing the effectiveness of tap access to the n-best list in pen-based text entry

Published: 02 September 2009 Publication History

Abstract

Handwriting recognition is always error prone. Therefore, recognition error management is an important part of any user interface that attempts to interpret user's pen strokes. We experimented with a technique called TapList where a stylus tap is used to switch the newly recognized character to the next item on an invisible n-best list returned by a character recognizer. The purpose of our experimentation was to verify that it does not hurt text entry performance even under tight time constraints. We did not see significant performance degradation due to TapList in comparison to conventional backspace-based error correction technique. Thus, TapList is likely to improve text entry performance if the cost of re-entry of misrecognized text is higher than it was with the fast unistroke alphabet used in our experiments. Further work is needed to compare TapList to a visible n-best list and to other alternative techniques.

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  • (2010)UniWiseProceedings of the 22nd Conference on l'Interaction Homme-Machine10.1145/1941007.1941020(89-96)Online publication date: 20-Sep-2010

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  1. TapList: testing the effectiveness of tap access to the n-best list in pen-based text entry

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      cover image ACM Other conferences
      Mobility '09: Proceedings of the 6th International Conference on Mobile Technology, Application & Systems
      September 2009
      373 pages
      ISBN:9781605585369
      DOI:10.1145/1710035
      Permission to make digital or hard copies of all or part 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, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 02 September 2009

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      Author Tags

      1. gesture keyboard
      2. text entry
      3. unistrokes

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      • (2010)UniWiseProceedings of the 22nd Conference on l'Interaction Homme-Machine10.1145/1941007.1941020(89-96)Online publication date: 20-Sep-2010

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