Assistive Technology in Communication and Mobility
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Abstract
Abstract
Artificial intelligence (AI) can enhance what people who use augmentative and alternative communication (AAC) are able to do with their systems. However, evaluating AI-powered AAC interfaces can be difficult. People are intersectional beings and current evaluation metrics can struggle to capture the multifaceted and nuanced desires people may have for their AAC. We explore the complicated nature of six AAC problem spaces, explore how AI might be used in these spaces, and suggest more robust methods of evaluation that take the intersectional nuances of people into account. We also discuss broader issues that arise across these problem spaces and how they could be addressed using our proposed evaluation methods.
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@article{Frisch2026Complicated,
title = {It's Complicated: On the Design and Evaluation of AI-Powered AAC Interfaces},
author = {Blade Frisch and Will Wade and Dylan Gaines and Michelle Kinsella and Betts Peters and Tamara Broderick and Keith Vertanen},
journal = {arXiv (Cornell University)},
year = {2026},
url = {https://arxiv.org/abs/2606.24854}
}FAQ
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