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Predictive text entry methods for mobile phones

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Abstract

Mobile phone networks are increasingly supporting the transmission of textual messages between mobile phones and between mobile phones and other services. This paper describes the current text entry method on mobile phones and describes a new text entry method using a single key-press per letter together with a large dictionary of words for disambiguation. This approach, which is similar to technology recently licensed, independently, to several phone companies, is then extended with automatic word completion. The paper reports the results of initial user tests comparing the text entry methods, analysis of word clashes with the dictionary-based methods and keystroke level modelling of the different input methods.

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References

  1. WAP Forum. WAP White Paper. WAP Forum, Mountain View, California, USA, 1999) http://www.wapforum.org/ what/whitepapers.htm

  2. Engelbart DC, English WK. A research center for augmenting human intellect. In: AFIPS Conference Proceedings of the 1968 Fall Joint Computer Conference. San Francisco, CA, December 1968

  3. Tegic Communications. http://www.tegic.com/

  4. Gillette Y, and Hoffman JL. Getting to word prediction: developmental literacy and AAC. In: Proceedings of the Tenth Annual International Conference, Technology and Persons with Disabilities, March 1995

  5. Masui T. An efficient text input method for pen-based computers. In: Proceedings of ACM Conference on Human Factors in Computing Systems (CHI'98), ACM Press, 1998

  6. Reader's Digest. Oddities in words, pictures and figures. Reader's Digest, London, 1975

  7. Oxford English Dictionary. http://www.oed.com/

  8. Card SK, Moran TP, Newell, A. The keystroke-level model for user performance time with interactive systems. Communications of the ACM 1980; 23(7): 396–410

    Google Scholar 

  9. Mackenzie IS, Zhang SX, Soukoreff RW. Text entry using soft keyboards. Behaviour and Information Technology 1999; 18: 235–244

    Google Scholar 

  10. Hart S, Staveland LE. Development of NASA-TLX (Task Load Index): results of empirical and theoretical research. In: Hancock PA, Meshkati N. (eds) Human mental workload. Elsevier Science, 1988; 139–183

  11. Rasmussen J. On information processing and humanmachine interaction: an approach to cognitive engineering. Elsevier, 1986

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Authors and Affiliations

  1. Centre for Human Machine Interaction, Risø National Laboratory, PO Box 49, DK4000, Roskilde, Denmark

    Mark D Dunlop

  2. Department of Computing Science, University of Glasgow, Scotland

    Andrew Crossan

Authors
  1. Mark D Dunlop
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  2. Andrew Crossan
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Correspondence to Mark D Dunlop.

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Dunlop, M.D., Crossan, A. Predictive text entry methods for mobile phones. Personal Technologies 4, 134–143 (2000). https://doi.org/10.1007/BF01324120

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  • DOI: https://doi.org/10.1007/BF01324120

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