Publikace

Measuring Performance of a Predictive Keyboard Operated by Humming

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.

Za obsah této stránky zodpovídá: prof. Ing. arch. Petr Vorlík, Ph.D.