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Metrics for comparing three word-based software programs used for augmentative and alternative communication.

Ann Ratcliff1, Beth Anne Sutton, Mark Lehman

  • 1Department of Communication Disorders, Central Michigan University, Mount Pleasant, Michigan 48859, USA. ann.e.ratcliff@cmich.edu

Augmentative and Alternative Communication (Baltimore, Md. : 1985)
|June 23, 2009
PubMed
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This study compared speech-generating device (SGD) software for augmentative and alternative communication (AAC) using speed, efficiency, and accuracy metrics. Results show significant differences, aiding professionals in selecting optimal AAC software for users.

Area of Science:

  • Augmentative and Alternative Communication (AAC)
  • Human-Computer Interaction
  • Speech-Language Pathology

Background:

  • Software features in speech-generating devices (SGDs) significantly impact user experience and communication effectiveness.
  • Objective metrics are needed to compare the performance of different AAC software programs.
  • Understanding software performance is crucial for matching individuals with appropriate assistive technology.

Purpose of the Study:

  • To analyze a set of metrics for comparing features of SGD software used in AAC.
  • To evaluate the speed, efficiency, and accuracy of three different AAC software programs.
  • To provide benchmark data to inform AAC software selection.

Main Methods:

  • A sentence reconstruction task was administered to 22 participants without disabilities.

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  • Participants used three different SGD software programs, with order effects counterbalanced.
  • Metrics of speed, efficiency, and accuracy were collected and analyzed, supplemented by a social validation survey.
  • Main Results:

    • Significant differences in speed, efficiency, and accuracy were found across the three SGD software programs.
    • Participant feedback from the social validation survey supported the objective metric findings.
    • The study identified distinct performance characteristics for each software program evaluated.

    Conclusions:

    • The developed metrics effectively differentiate the performance of AAC software.
    • Benchmark data on software speed, accuracy, and efficiency can guide clinical decision-making.
    • Findings assist professionals in matching AAC users with specific word-based software features for improved communication outcomes.