Measuring errors in text entry tasks: an application of the Levenshtein string distance statistic
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Metrics for text entry research: an evaluation of MSD and KSPC, and a new unified error metric
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Mobile HCI '02 Proceedings of the 4th International Symposium on Mobile Human-Computer Interaction
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CHI '03 Extended Abstracts on Human Factors in Computing Systems
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Evaluating Children's Interactive Products: Principles and Practices for Interaction Designers
Evaluating Children's Interactive Products: Principles and Practices for Interaction Designers
MECE method for categorising typing errors
BCS-HCI '08 Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction - Volume 2
Proceedings of the 23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology
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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.