REVIEW 1 cited by
"We do use it, but not how hearing people think": How the Deaf and Hard of Hearing Community Uses Large Language Model Tools
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Signed reviews
read the original abstract
Generative AI tools, particularly those utilizing large language models (LLMs), are increasingly used in everyday contexts. While these tools enhance productivity and accessibility, little is known about how Deaf and Hard of Hearing (DHH) individuals engage with them or the challenges they face when using them. This paper presents a mixed-method study exploring how the DHH community uses Text AI tools like ChatGPT to reduce communication barriers and enhance information access. We surveyed 80 DHH participants and conducted interviews with 11 participants. Our findings reveal important benefits, such as eased communication and bridging Deaf and hearing cultures, alongside challenges like lack of American Sign Language (ASL) support and Deaf cultural understanding. We highlight unique usage patterns, propose inclusive design recommendations, and outline future research directions to improve Text AI accessibility for the DHH community.
Forward citations
Cited by 1 Pith paper
-
Deaf in AI: AI language technologies and the erosion of linguistic rights
The paper argues that current AI sign language technologies, trained on interpreter-mediated data and framed as substitutes for interpreters, threaten deaf people's linguistic rights and require deaf-led design and go...
Discussion (0). Continue with ORCID to comment.