Measuring performance of a predictive keyboard operated by humming

  • Authors:
  • Ondřej Poláček;Adam J. Sporka;Zdeněk Míkovec

  • Affiliations:
  • Faculty of Electrical Engineering, Czech Technical University in Prague, Prague 2, Czech Republic;Faculty of Electrical Engineering, Czech Technical University in Prague, Prague 2, Czech Republic;Faculty of Electrical Engineering, Czech Technical University in Prague, Prague 2, Czech Republic

  • Venue:
  • ICCHP'12 Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part II
  • Year:
  • 2012

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Abstract

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.