Optimized and Predictive Phonemic Interfaces for Augmentative and Alternative Communication.

ABSTRACT: Purpose We empirically assessed the results of computational optimization and prediction in communication interfaces that were designed to allow individuals with severe motor speech disorders to select phonemes and generate speech output. Method Interface layouts were either random or optimized, in which phoneme targets that were likely to be selected together were located in proximity. Target sizes were either static or predictive, such that likely targets were dynamically enlarged following each selection. Communication interfaces were evaluated by 36 users without motor impairments using an alternate access method. Each user was assigned to 1 of 4 interfaces varying in layout and whether prediction was implemented (random/static, random/predictive, optimized/static, optimized/predictive

SUBMITTER: Cler GJ 

PROVIDER: S-EPMC6808364 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature