2012 | OriginalPaper | Buchkapitel
Measuring Performance of a Predictive Keyboard Operated by Humming
verfasst von : Ondřej Poláček, Adam J. Sporka, Zdeněk Míkovec
Erschienen in: Computers Helping People with Special Needs
Verlag: Springer Berlin Heidelberg
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A number of text entry methods use a predictive completion based on letter-level
n
-gram model. In this paper, we investigate on an optimal length of
n
-grams stored in such model for a predictive keyboard operated by humming. In order to find the length, we analyze six different corpora, from which a model is built by counting number of primitive operations needed to enter a text. Based on these operations, we provide a formula for estimation of words per minute (WPM) rate. The model and the analysis results are verified in an experiment with three experienced users of the keyboard.