Phoneme-based Predictive Text Entry Interface

Ha Trinh, Annalu Waller, Keith Vertanen, Per Ola Kristensson, Vicki L. Hanson

ASSETS '14: Proceedings of the ACM SIGACCESS Conference on Computers and Accessibility (poster), 2014.

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.