PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Text entry performance of state of the art unconstrained handwriting recognition: a longitudinal user study
Per Ola Kristensson and L Denby
In: Proceedings of the 27th ACM Conference on Human Factors in Computing Systems (CHI)(2009).

Abstract

We report on a longitudinal study of unconstrained handwriting recognition performance. After 250 minutes of practice, participants had a mean text entry rate of 24.1 wpm. For the first four hours of usage, entry and error rates of handwriting recognition are about the same as for a baseline QWERTY software keyboard. Our results reveal that unconstrained handwriting is faster than what was previously assumed in the text entry literature.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:User Modelling for Computer Human Interaction
ID Code:5605
Deposited By:Per Ola Kristensson
Deposited On:08 March 2010

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