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Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
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A communication barrier is any distortion or interruption during a conversation, resulting in miscommunication of the message. A good communicator should know these barriers and continuously check for the listener's understanding by obtaining feedback.
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Developing accessible speech technology with users with dysarthric speech.

Elizabeth Howarth1, Geena Vabulas1, Sean Connolly1

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Assistive Technology : the Official Journal of RESNA
|March 27, 2024
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Summary

The Voiceitt app enhances communication for individuals with dysarthric speech. User feedback drove significant improvements in this assistive technology, boosting accessibility and usability.

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alternative and augmentative communication (AAC)automatic speech recognition (ASR)dysarthriasmart home technologiesuser-centered design

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Area of Science:

  • Assistive Technology
  • Human-Computer Interaction
  • Speech-Language Pathology

Background:

  • Individuals with dysarthric speech often face challenges in vocal communication and accessing voice-driven technologies.
  • The Voiceitt app aims to bridge this gap by providing a solution for atypical speech patterns.

Purpose of the Study:

  • To evaluate the Voiceitt app's effectiveness and gather user feedback from individuals with dysarthric speech.
  • To identify user-led use cases and inform software development for improved accessibility.

Main Methods:

  • Recruited 66 participants with diverse impairments, including dysarthric speech.
  • Employed user-led testing over three months with ongoing remote and in-person support.
  • Collected feedback through semi-structured interviews and informal channels, adapted to individual needs.

Main Results:

  • User feedback directly influenced app enhancements, including faster voice training and simplified navigation.
  • New features like game-style elements and switch access were introduced based on user input.
  • The study demonstrated successful engagement with diverse disabled users in commercial software development.

Conclusions:

  • Meaningful engagement with disabled users is crucial for developing effective assistive technology.
  • User-centered design principles led to significant improvements in the Voiceitt app's functionality and user experience.
  • This case study highlights a model for inclusive co-design in assistive technology development.