Artificial and Intelligent Voices: Exploring the Impact of AI on Augmentative and Alternative Communication Restricted; Files & ToC

Abstract

Augmentative and alternative communication (AAC) supports individuals with disabilities that affect their speech, writing, or hearing. However, communicating through AAC is often significantly slower than spoken communication, which can limit users’ autonomy and participation in society. In response to this limitation, researchers have begun studying how artificial intelligence (AI) can enhance AAC to facilitate more efficient communication. 

This thesis investigates the impact of AI on AAC, with a particular focus on user perspectives regarding these emerging technologies. The study begins with a critical literature analysis examining development in AAC, AI, and their intersection, as well as real-world examples of AI-based AAC. Following this, the study incorporates interviews with AAC users and educators from Beyond Play, a school for nonspeaking autistic students. 

Findings indicate that researchers often emphasize AI’s potential to accelerate communication; however, AAC users and educators feel that these advancements may compromise the authenticity of users’ voices — particularly in relation to their authorship, personal identity, and message control. Consequently, not all individuals are willing to replace their low-tech AAC with AI-based alternatives, even at the cost of slower communication. 

Overall, this thesis highlights the tension between efficiency and authenticity in the evolution of AAC technologies. Conclusions underscore the importance of including users and educators in the design and implementation of AAC advancements.  

Table of Contents

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About this Honors Thesis

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School	Emory College
Department	Interdisciplinary Studies in Society and Culture
Degree	B.A.
Submission	Honors Thesis
Language	English
Research Field	Language, Linguistics Artificial Intelligence Speech Communication
Keyword	Artificial intelligence Augmentative and alternative communication
Committee Chair / Thesis Advisor	Dr. Peter Wakefield, Emory University
Committee Members	Dr. Andrew Kazama, Emory University Dr. Yun Kim, Emory University

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