The Effects of Word Prediction on Communication Rate for AAC

نویسندگان

  • Keith Trnka
  • Debra Yarrington
  • John McCaw
  • Kathleen F. McCoy
  • Christopher A. Pennington
چکیده

Individuals using an Augmentative and Alternative Communication (AAC) device communicate at less than 10% of the speed of “traditional” speech, creating a large communication gap. In this user study, we compare the communication rate of pseudo-impaired individuals using two different word prediction algorithms and a system without word prediction. Our results show that word prediction can increase AAC communication rate and that more accurate predictions significantly improve communication rate.

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تاریخ انتشار 2007