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Phoneme-based predictive text entry interface

Phoneme-based predictive text entry interface

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Authors

  • Ha Trinh (Lead / Corresponding author)
  • Annalu Waller (Lead / Corresponding author)
  • Keith Vertanen (Lead / Corresponding author)
  • Per Ola Kristensson (Lead / Corresponding author)
  • Vicki L. Hanson (Lead / Corresponding author)

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Info

Original languageEnglish
Title of host publicationASSETS '14 Proceedings of the 16th international ACM SIGACCESS conference on Computers & accessibility
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Pages351-352
Number of pages2
ISBN (Electronic)9781450327206
DOIs
StatePublished - 20 Oct 2014
Event16th International ACM SIGACCESS Conference on Computers and Accessibility - Rochester, United States

Conference

Conference16th International ACM SIGACCESS Conference on Computers and Accessibility
Abbreviated titleASSETS 2014
CountryUnited States
CityRochester
Period20/10/1422/10/14
Internet address

Abstract

Phoneme-based text entry provides an alternative typing method for nonspeaking individuals who often experience difficulties in orthographic spelling. In this paper, we investigate the application of rate enhancement strategies to improve the user performance of phoneme-based text entry systems. We have developed a phoneme-based predictive typing system, which employs statistical language modeling techniques to dynamically reduce the phoneme search space and offer accurate word predictions. Results of a case study with a nonspeaking participant demonstrated that our rate enhancement strategies led to improved text entry speed and error rates.

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