activity
20192025
most citedAssessment of Sign Language-Based versus Touch-Based Input for Deaf Users Interacting with Intelligent Personal Assistants

20 citations · 46 across the 6 of their papers we have counts for

collaborators

6 papers

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.HC2024★ 20 cited

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★ 15 cited

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…

cs.CL2022

ASL-Homework-RGBD Dataset: An annotated dataset of 45 fluent and non-fluent signers performing American Sign Language homeworks

Saad Hassan, Matthew Seita, Larwan Berke +4

We are releasing a dataset containing videos of both fluent and non-fluent signers using American Sign Language (ASL), which were collected using a Kinect v2 sensor. This dataset w…

cs.HC2019★ 11 cited

Closed ASL Interpreting for Online Videos

Raja Kushalnagar, Matthew Seita, Abraham Glasser

Deaf individuals face great challenges in today's society. It can be very difficult to be able to understand different forms of media without a sense of hearing. Many videos and mo…

cs.HC2019

Artificial Intelligence Fairness in the Context of Accessibility Research on Intelligent Systems for People who are Deaf or Hard of Hearing

Sushant Kafle, Abraham Glasser, Sedeeq Al-khazraji +3

We discuss issues of Artificial Intelligence (AI) fairness for people with disabilities, with examples drawn from our research on human-computer interaction (HCI) for AI-based syst…