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Metrics for text entry research: an evaluation of MSD and KSPC, and a new unified error metric

Published:05 April 2003Publication History

ABSTRACT

We describe and identify shortcomings in two statistics recently introduced to measure accuracy in text entry evaluations: the minimum string distance (MSD) error rate and keystrokes per character (KSPC). To overcome the weaknesses, a new framework for error analysis is developed and demonstrated. It combines the analysis of the presented text, input stream (keystrokes), and transcribed text. New statistics include a unified total error rate, combining two constituent error rates: the corrected error rate (errors committed but corrected) and the not corrected error rate (errors left in the transcribed text). The framework includes other measures including error correction efficiency, participant conscientiousness, utilised bandwidth, and wasted bandwidth. A text entry study demonstrating the new methodology is described.

References

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  2. MacKenzie, I.S. (2002) KSPC (keystrokes per character) as a characteristic of text entry techniques, Proceedings of the Fourth International Symposium on Human-Computer Interaction with Mobile Devices. Heidelberg, Germany: Springer-Verlag. Google ScholarGoogle ScholarDigital LibraryDigital Library
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  1. Metrics for text entry research: an evaluation of MSD and KSPC, and a new unified error metric

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    • Published in

      cover image ACM Conferences
      CHI '03: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2003
      620 pages
      ISBN:1581136307
      DOI:10.1145/642611

      Copyright © 2003 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 5 April 2003

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      Acceptance Rates

      CHI '03 Paper Acceptance Rate75of468submissions,16%Overall Acceptance Rate6,199of26,314submissions,24%

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