activity
20242026
most citedSign Language-Based versus Touch-Based Input for Deaf Users with Interactive Personal Assistants in Simulated Kitchen Environments

4 citations · 4 across the 2 of their papers we have counts for

collaborators

6 papers

cs.HC2026

Deaf and Hard of Hearing Access to Intelligent Personal Assistants: Comparison of Voice-Based Options with an LLM-Powered Touch Interface

Paige S. DeVries, Michaela Okosi, Ming Li +6

We investigate intelligent personal assistants (IPAs) accessibility for deaf and hard of hearing (DHH) people who can use their voice in everyday communication. The inability of IP…

cs.HC20264 cited

Sign Language-Based versus Touch-Based Input for Deaf Users with Interactive Personal Assistants in Simulated Kitchen Environments

Paige DeVries, Nina Tran, Keith Delk +6

In this study, we assess the usability of interactive personal assistants (IPAs), such as Amazon Alexa, in a simulated kitchen smart home environment, with deaf and hard of hearing…

cs.HC2025

Barriers to Employment: The Deaf Multimedia Authoring Tax

C. Vogler, A. Glasser, R. Kushalnagar +7

This paper describes the challenges that deaf and hard of hearing people face with creating accessible multimedia content, such as portfolios, instructional videos and video presen…

cs.CY2025

Accessibility Considerations in the Development of an AI Action Plan

Jennifer Mankoff, Janice Light, James Coughlan +4

We argue that there is a need for Accessibility to be represented in several important domains: - Capitalize on the new capabilities AI provides - Support for open source developme…

cs.HC2024

Assessment of Sign Language-Based versus Touch-Based Input for Deaf Users Interacting with Intelligent Personal Assistants

Nina Tran, Paige DeVries, Matthew Seita +3

With the recent advancements in intelligent personal assistants (IPAs), their popularity is rapidly increasing when it comes to utilizing Automatic Speech Recognition within househ…

cs.HC2024

How Users Experience Closed Captions on Live Television: Quality Metrics Remain a Challenge

Mariana Arroyo Chavez, Molly Feanny, Matthew Seita +6

This paper presents a mixed methods study on how deaf, hard of hearing and hearing viewers perceive live TV caption quality with captioned video stimuli designed to mirror TV capti…