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AI Supporting AAC Pictographic Symbol Adaptations.

E A Draffan1, Mike Wald1, Chaohai Ding1

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Summary
This summary is machine-generated.

Generative AI can create personalized pictographic symbols for augmentative and alternative communication (AAC) users, adapting existing styles to individual needs. This technology enhances symbol flexibility and accessibility for diverse users.

Keywords:
artificial intelligenceaugmentative and alternative communicationcognitive impairmentpictographic symbolssymbol adaptations

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Area of Science:

  • Artificial Intelligence
  • Human-Computer Interaction
  • Assistive Technology

Background:

  • Technological advancements enable image and text manipulation for diverse applications.
  • Current symbol sets for augmentative and alternative communication (AAC) lack personalization and flexibility.
  • Generative AI offers potential for customized symbol creation.

Purpose of the Study:

  • To explore the use of generative artificial intelligence for creating personalized pictographic symbols.
  • To adapt open-licensed symbols to individual user styles and local contexts.
  • To evaluate the effectiveness of AI-generated symbols through stakeholder feedback.

Main Methods:

  • Utilizing image-to-image and text-to-image generative AI models.
  • Adapting existing open-licensed symbol sets based on user-defined styles.
  • Conducting a six-month pilot study involving symbol generation and stakeholder evaluation.
  • Implementing an online voting system for outcome assessment.

Main Results:

  • Successfully generated a collection of adapted symbols using AI.
  • Initiated a pilot study to adapt open-licensed symbols.
  • Established a framework for stakeholder evaluation of AI-generated symbols.

Conclusions:

  • Generative AI holds significant potential for personalized symbol generation in AAC.
  • AI-driven symbol adaptation can enhance flexibility and user experience for AAC users.
  • Future work will focus on integrating successful symbols into existing AAC systems.