Predicting text entry speed on mobile phones

  • Authors:
  • Miika Silfverberg;I. Scott MacKenzie;Panu Korhonen

  • Affiliations:
  • Nokia Research Center, P.O. Box 407, FIN-00045 Nokia Group, Finland;Dept. of Mathematics & Statistics, York University, Toronto, Ontario, Canada M3J 1P3;Nokia Research Center, P.O. Box 407, FIN-00045 Nokia Group, Finland

  • Venue:
  • Proceedings of the SIGCHI conference on Human Factors in Computing Systems
  • Year:
  • 2000

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Abstract

We present a model for predicting expert text entry rates for several input methods on a 12-key mobile phone keypad. The model includes a movement component based on Fitts' law and a linguistic component based on digraph, or letter-pair, probabilities. Predictions are provided for one-handed thumb and two-handed index finger input. For the traditional multi-press method or the lesser-used two-key method, predicted expert rates vary from about 21 to 27 words per minute (wpm). The relatively new T9 method works with a disambiguating algorithm and inputs each character with a single key press. Predicted expert rates vary from 41 wpm for one-handed thumb input to 46 wpm for two-handed index finger input. These figures are degraded somewhat depending on the user's strategy in coping with less-than-perfect disambiguation. Analyses of these strategies are presented.