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Text input error categorisation: solving character level insertion ambiguities using Zero Time analysis

Published: 01 September 2009 Publication History

Abstract

A review of literature on text input error categorisation revealed the need for a formal method to assist in solving ambiguities. This paper proposes a method of solving one such set of ambiguities, those caused by insertion of an extra letter. The method uses two rules: the Zero Time rule and Impossible NT/CT-Mu rule to establish whether the extra letter was inserted with another letter, or inserted individually. The method was applied to two large studies conducted to gather typing errors from students and children. The results show that the method is able to solve 100% of all insertion-only ambiguities and in doing so it helps reduce ambiguities in 75--85% of the remaining ambiguities.

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Cited By

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  • (2018)WrisTextProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173755(1-14)Online publication date: 21-Apr-2018
  • (2013)Error quantifying metrics for text entry systems augmented with word predictionProceedings of the 11th Asia Pacific Conference on Computer Human Interaction10.1145/2525194.2525201(45-54)Online publication date: 24-Sep-2013

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  1. Text input error categorisation: solving character level insertion ambiguities using Zero Time analysis

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    BCS-HCI '09: Proceedings of the 23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology
    September 2009
    532 pages

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    • British Computer Society: BCS

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    BCS Learning & Development Ltd.

    Swindon, United Kingdom

    Publication History

    Published: 01 September 2009

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    Author Tags

    1. ambiguities
    2. insertion
    3. key log
    4. solving ambiguities
    5. timestamp
    6. typing errors

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    BCS HCI '09
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    Overall Acceptance Rate 28 of 62 submissions, 45%

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    View all
    • (2018)WrisTextProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173755(1-14)Online publication date: 21-Apr-2018
    • (2013)Error quantifying metrics for text entry systems augmented with word predictionProceedings of the 11th Asia Pacific Conference on Computer Human Interaction10.1145/2525194.2525201(45-54)Online publication date: 24-Sep-2013

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