ExpECT: an expanded error categorisation method for text input

  • Authors:
  • Akiyo Kano;Janet C. Read;Alan Dix;I. Scott MacKenzie

  • Affiliations:
  • University of Central, Lancashire, Preston, UK;University of Central, Lancashire, Preston, UK;Lancaster University, Lancaster, UK;York University, Toronto, Ontario, Canada

  • Venue:
  • BCS-HCI '07 Proceedings of the 21st British HCI Group Annual Conference on People and Computers: HCI...but not as we know it - Volume 1
  • Year:
  • 2007

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Abstract

This paper describes an empirical study on typing errors made by children during a text copy exercise. The literature on text input errors is first examined, focussing on studies of errors that occur during keyboard typing. A study of errors made by children during typing is described and the results from this study are analysed using visual inspection and already published error categorisation methods. These methods are compared with respect to the types and number of errors categorised and uncategorised. We identify and define new kinds of typing errors and use these, together with previously defined error types, to outline an expanded and more detailed method (ExpECT) for the classification of typing errors. ExpECT is compared with the previously examined categorisation methods and is shown to be a more thorough and broader method for the analysis of typing errors.