Matt Huenerfauth Headshot

Matt Huenerfauth

Dean, Golisano College of Computing and Information Sciences

Dean’s Office
Golisano College of Computing and Information Sciences

Office Location
Office Mailing Address
20 Lomb Memorial Drive, Rochester, NY 14623

Matt Huenerfauth

Dean, Golisano College of Computing and Information Sciences

Dean’s Office
Golisano College of Computing and Information Sciences

Education

MS, University of Delaware; MSc, University College Dublin (Ireland); Ph.D., University of Pennsylvania

Bio

Matt Huenerfauth is a Professor and Dean of the Golisano College of Computing and Information Sciences at Rochester Institute of Technology (RIT). He studies the design of technology to benefit people who are Deaf or Hard of Hearing or who have low written-language literacy, and his team of research students operates bilingually in English and American Sign Language (ASL). He has secured $5.25 million in external research funding since 2007, including a U.S. National Science Foundation CAREER Award in 2008. He has authored over 115 peer-reviewed scientific journal articles, book chapters, and conference papers, including at top venues in human-computer interaction and computing accessibility. He is a five-time recipient of the Best Paper Award at the top computing research conference in the field of computing accessibility, the ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), which is more than any other individual in the conference history. In 2021, he was elected Chair of the ACM SIGACCESS special interest group on accessible computing for a three-year term, and in 2019, he completed a maximum six-year term as editor-in-chief of the ACM Transactions on Accessible Computing (TACCESS) journal. In 2018, RIT awarded him the Trustees Scholarship Award, the university’s highest honor for faculty research.


Areas of Expertise

Select Scholarship

Published Conference Proceedings
Pataca, Caluã de Lacerda, et al. "Visualization of Speech Prosody and Emotion in Captions: Accessibility for Deaf and Hard-of-Hearing Users." Proceedings of the Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Ed. . New York, NY: Association for Computing Machinery, 2023. Print.
Amin, Akhter Al, et al. "Modeling Word Importance in Conversational Transcripts: Toward improved live captioning for Deaf and hard of hearing viewers." Proceedings of the Proceedings of the 20th International Web for All Conference (W4A '23). Ed. . New York, NY: Association for Computing Machinery, 2023. Print.
Amin, Akhter Al, et al. "Understanding How Deaf and Hard of Hearing Viewers Visually Explore Captioned Live TV News." Proceedings of the Proceedings of the 20th International Web for All Conference (W4A '23). Ed. . New York, NY: Association for Computing Machinery, 2023. Print.
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Journal Paper
Bochner, Joseph, et al. "Phoneme Categorization in Prelingually Deaf Adult Cochlear Implant Users." Journal of Speech, Language, and Hearing Research 65. 11 (2022): 4429-4453. Print.
Alonzo, Oliver, et al. "Reading-Assistance Tools Among Deaf and Hard-of-Hearing Computing Professionals in the U.S.: Their Reading Experiences, Interests and Perceptions of Social Accessibility." ACM Transactions on Accessible Computing 15. 2 (2022): Article 16, 31 Pages. Print.
Kafle, Sushant, Becca Dingman, and Matt Huenerfauth. "Deaf and Hard-of-Hearing Users Evaluating Designs for Highlighting Key Words in Educational Lecture Videos." ACM Transactions on Accessible Computing 14. 4 (2021): 24. Print.
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Book Chapter
Amin, Akhter Al, et al. "Preferences of Deaf or Hard of Hearing Users for Live-TV Caption Appearance." Universal Access in Human-Computer Interaction. Access to Media, Learning and Assistive Environments. HCII 2021. Lecture Notes in Computer Science. Ed. M. Antonia and C. Stephanidis. Cham, Switzerland: Springer, 2021. 189-201. Print.
Amin, Akhter Al, Saad Hassan, and Matt Huenerfauth. "Effect of Occlusion on Deaf and Hard of Hearing Users’ Perception of Captioned Video Quality." Universal Access in Human-Computer Interaction. Access to Media, Learning and Assistive Environments. HCII 2021. Lecture Notes in Computer Science. Ed. M. Antonia and C. Stephanidis. Cham, Switzerland: Springer, 2021. 202-220. Print.
Yeung, Peter, Oliver Alonzo, and Matt Huenerfauth. "Interest and Requirements for Sound-Awareness Technologies among Deaf and Hard-of-Hearing Users of Assistive Listening Devices." Universal Access in Human-Computer Interaction. Applications and Practice. HCII 2020. Lecture Notes in Computer Science, vol 12189. DOI: https://doi.org/10.1145/3373625.3417013. Ed. M. Antona and C. Stephanidis. Cham, Switzerland: Springer, 2020. 148-158. Print.
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Peer Reviewed/Juried Poster Presentation or Conference Paper
Glasser, Abraham, Vaishnavi Mande, and Matt Huenerfauth. "On How Deaf and Hard of Hearing Users Might Use Sign Language Conversational User Interfaces." Proceedings of the Sign Language Recognition, Translation & Production (SLRTP) Workshop, at the 16th European Conference on Computer Vision (ECCV’20), Virtual Event, August 2020. Ed. Necati Cihan Camgöz, et al. Cham, Switzerland: Springer.
Hassan, Saad, et al. "Effect of Ranking and Precision of Results on Users’ Satisfaction with Search-by-Video Sign-Language Dictionaries." Proceedings of the Sign Language Recognition, Translation & Production (SLRTP) Workshop, at the 16th European Conference on Computer Vision (ECCV’20), Virtual Event, August 2020. Ed. Necati Cihan Camgöz, et al. Cham, Switzerland: Springer.
Bragg, Danielle, et al. "Sign Language Interfaces: Discussing the Field’s Biggest Challenges." Proceedings of the Proceedings of the 2020 ACM Conference on Human Factors in Computing Systems (CHI’20 Extended Abstracts), Honolulu, Hawaii, April 2020. DOI: https://doi.org/10.1145/3334480.3381053. Ed. Joanna McGrenere and Andy Cockburn. New York, NY, USA: ACM.
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External Scholarly Fellowships/National Review Committee
9/15/2020 -5/1/2021
     National Science Foundation, NSF Convergence Accelerator Track D: Data & AI Methods for Modeling Facial Expressions in Language with Applications to Privacy for the Deaf, ASL Education & Linguistic Research
     Amount: 61434
10/1/2020 -9/30/2023
     National Science Foundation, CHS: Medium: Critical Factors for Automatic Speech Recognition in Supporting Small Group Communication Between People who are Deaf or Hard of Hearing and Hearing Colleagues
     Amount: 499906
9/1/2019 -8/31/2022
     Microsoft Artificial Intelligence for Accessibility (AI4A) grant program
     Amount: 241104
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Invited Keynote/Presentation
Huenerfauth, Matt. "Creating Useful Applications with Imperfect Sign Language Recognition Technologies." Sign Language Recognition Translation & Production (SLRTP) Workshop. European Conference on Computer Vision (ECCV). Virtual Event, Online. 23 Aug. 2020. Keynote Speech.
Huenerfauth, Matt. "Human-Centered AI to Benefit People who are Deaf and Hard of Hearing.”." Research Experiences for Undergraduates Site in Computational Sensing for Human-Centered AI. Rochester Institute of Technology. Rochester, NY. 5 Jun. 2019. Address.
Huenerfauth, Matt. "Creating Useful Applications with Imperfect Sign Language Recognition Technologies." Automatic Recognition and Analysis of American Sign Language Workshop, Center for Gesture Sign and Language. University of Chicago. Chicago, IL. 15 May 2019. Address.
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Journal Editor
Huenerfauth, Matt and Kathleen F. McCoy, ed. Special Issue on ASSETS’17 (Part 2). ACM Transactions on Accessible Computing (TACCESS) Journal, Volume 12, Issue 3 (September 2019). New York: NY, 2019. Print.
Huenerfauth, Matt and Kathleen F. McCoy, ed. Special Issue on ASSETS'17 and Regular Papers. ACM Transactions on Accessible Computing (TACCESS) journal, Volume 12, Issue 2 (July 2019). New York: NY, 2019. Print.
Huenerfauth, Matt and Kathleen F. McCoy, ed. ACM Transactions on Accessible Computing (TACCESS) journal, Volume 12, Issue 1 (February 2019). New York: NY, 2019. Print.
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Invited Article/Publication
Kafle, Sushant and Matt Huenerfauth. "Usability Evaluation of Captions for People who are Deaf or Hard of Hearing." SIGACCESS Accessible Computing, 122, Article 1 (October 2018). (2019). Web.
National/International Competition Award Winner
Huenerfauth, Matt. Association for Computing Machinery. Best Paper Award, The 21st International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS’19). Pittsburgh, PA, 2019.
Huenerfauth, Matt. HCI International. Best Paper Award, The 13th International Conference on Universal Access in Human-Computer Interaction (UAHCI’19). Orlando, FL, 2019.
Huenerfauth, Matt. The 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS’18). Best Paper Award. Galway, Ireland, 2018.
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Invited Paper
Feng, Jinjuan Heidi and Matt Huenerfauth. "Overview of the ASSETS 2016 conference." SIGACCESS Accessibility and Computing. (2017). Web.