Measuring errors in text entry tasks: an application of the Levenshtein string distance statistic

Authors:
R. William Soukoreff;I. Scott MacKenzie
Affiliations:
York University, Toronto, Ontario;York University, Toronto, Ontario
Venue:
CHI '01 Extended Abstracts on Human Factors in Computing Systems
Year:
2001

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Abstract

We propose a new technique based on the Levenshtein minimum string distance statistic for measuring error rates in text entry research. The technique obviates the need to artificially constrain subjects to maintain synchronization with the presented text, thus affording a more natural interaction style in the evaluation. Methodological implications are discussed, including the additional need to use keystrokes per characters (KSPC) as a dependent measure to capture the overhead in correcting errors.