About
I am an associate research scientist under the AIASL (Artificial Intelligence, Accessibility and Sign Language Center) department at Gallaudet University in Washington, DC, with research interests focusing on the intersection of human-computer interaction, accessible technologies, and artificial intelligence. My research primarily focuses on people with disabilities, in paritcular the Deaf and Hard of Hearing (DHH) community, such as research involving the design and development of automatic speech recognition technologies and sign language technologies. I am profoundly deaf myself from birth, and communicate using both American Sign Language (ASL) and English.
Google Scholar Page: Matthew's Google Scholar Link
Selected Publications:
- Matthew Seita, Sarah Andrew, and Matt Huenerfauth. 2025. Notification Designs for Influencing Hearing Speakers' Behaviors During Captioned Conversations Among Mixed DHH-Hearing Groups. In Proceedings of the 22nd International Web for All Conference (W4A '25). Association for Computing Machinery, New York, NY, USA, 100–111. https://doi.org/10.1145/3744257.3744273
- Matthew Seita, Michaela Usha, Rachel Skwersky, Poorna Kushalnagar, and Raja Kushalnagar. 2025. Joint Bilingual Navigation of Informed Consent and Intake Forms in American Sign Language and Written English. In Proceedings of the 22nd International Web for All Conference (W4A '25). Association for Computing Machinery, New York, NY, USA, 112–123. https://doi.org/10.1145/3744257.3744271
- Matthew Seita, Sooyeon Lee, Sarah Andrew, Kristen Shinohara, & Matt Huenerfauth. 2022. "Remotely Co-Designing Features for Communication Applications using Automatic Captioning with Deaf and Hearing Pairs." In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 460, 1–13. https://doi.org/10.1145/3491102.3501843
-- Awarded Honorable Mention for Best Paper. - Oliver Alonzo, Matthew Seita, Abraham Glasser, and Matt Huenerfauth. 2020. “Automatic Text Simplification Tools for Deaf and Hard of Hearing Adults: Benefits of Lexical Simplification and Providing Users with Autonomy.” In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). Association for Computing Machinery, New York, NY, USA, 1–13. DOI:https://doi.org/10.1145/3313831.3376563
- Matthew Seita, Khaled Albusays, Sushant Kafle, Michael Stinson, and Matt Huenerfauth. 2018. “Behavioral Changes in Speakers who are Automatically Captioned in Meetings with Deaf or Hard-of-Hearing Peers.” In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18). Association for Computing Machinery, New York, NY, USA, 68–80. DOI:https://doi.org/10.1145/3234695.3236355
