Phoneme-based predictive text entry interface

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)

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

2 Citations (Scopus)


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.
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
Number of pages2
ISBN (Electronic)9781450327206
Publication statusPublished - 20 Oct 2014
Event16th International ACM SIGACCESS Conference on Computers and Accessibility - Hyatt Regency Rochester Hotel, Rochester, United States
Duration: 20 Oct 201422 Oct 2014 (Link to Conference website)


Conference16th International ACM SIGACCESS Conference on Computers and Accessibility
Abbreviated titleASSETS 2014
Country/TerritoryUnited States
Internet address

Cite this