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      Text Input Error Categorisation: Solving Character Level Insertion Ambiguities Using Zero Time Analysis

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      People and Computers XXIII Celebrating People and Technology (HCI)

      Computers XXIII Celebrating People and Technology

      1 - 5 September 2009

      Typing Errors, Insertion, Ambiguities, Solving Ambiguities, Timestamp, Key Log

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          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 insertiononly ambiguities and in doing so it helps reduce ambiguities in 75-85% of the remaining ambiguities.

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          Most cited references 15

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          Effects of age and skill in typing.

          What are the factors responsible for skilled typing performance, and do they change with the age of the typist? These questions were addressed in two studies by examining time and accuracy of keystrokes in a variety of typinglike activities among typists ranging in speed from 17 to 104 net words per minute and ranging in age from 19 to 72 years old. Typing skill was related to the temporal consistency of making the same keystroke, the efficiency of overlapping successive keystrokes, the speed of alternate-hand tapping, and the number of characters of to-be-typed text required to maintain a normal rate of typing. Older typists were slower in tapping rate and in choice reaction time but were not slower in speed of typing, apparently because they were more sensitive to characters farther in advance of the currently typed character than young typists.
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            Perceptual, cognitive, and motoric aspects of transcription typing.

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              Phrase sets for evaluating text entry techniques

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                Author and article information

                Contributors
                Conference
                September 2009
                September 2009
                : 293-302
                Affiliations
                Department of Computing

                University of Central Lancashire, Preston

                PR1 2HE, England

                +44-1772-89-5300
                Department of Computing

                University of Central Lancashire, Preston

                PR1 2HE, England

                +44-1772-89-3285
                Article
                10.14236/ewic/HCI2009.35
                © Akiyo Kano et al. Published by BCS Learning and Development Ltd. People and Computers XXIII Celebrating People and Technology, Churchill College Cambridge, UK

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                People and Computers XXIII Celebrating People and Technology
                HCI
                Churchill College Cambridge, UK
                1 - 5 September 2009
                Electronic Workshops in Computing (eWiC)
                Computers XXIII Celebrating People and Technology
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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