A white-on-black line drawing of Oliver's face with his hand near his chin

Oliver Alonzo

PhD Student at the Rochester Institute of Technology

I am a PhD student in the Computing and Information Sciences program at Rochester Institute of Technology, where I am part of the Center for Accessibility and Inclusion Research (CAIR) Lab and I am advised by Matt Huenerfauth. My work focuses on Computing Accessibility and Human-Computer Interaction (HCI).

My previous experiences include an internship at Facebook as a UX Researcher during the summer of 2020, and an internship at Adobe Research as an HCI Research Intern during the summer of 2021.

Check out my full CV for more details.

research

My research includes the application of automatic text simplification tools to assist online reading by people who are Deaf or Hard-of-Hearing, as well as tools to assist American Sign Language learners. I focus on the user-centric design and evaluation of such tools, as well as the evaluation metrics of the performance of underlying technologies that power them.

fun facts

I play a few instruments, including guitar and piano, and I also sing. I have also performed in a few musical theatre productions, and short films. Off the spotlight, I enjoy doing black & white photography.

I am fluent in Spanish and English, and I am in the process of learning Portuguese and American Sign Language.

selected publications

See publications for a full list.
  1. CHI
    Methods for Evaluating the Fluency of Automatically Simplified Texts with Deaf and Hard-of-Hearing Adults at Various Literacy Levels (to appear)
    Oliver Alonzo, Jessica Trussell, Matthew Watkins, Sooyeon Lee, and Matt Huenerfauth
    In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems 2022
  2. TACCESS
    Reading-Assistance Tools Among Deaf and Hard-of-Hearing Computing Professionals in the U.S.: Their Reading Experiences, Interests and Perceptions of Social Accessibility (to appear)
    Oliver Alonzo, Lisa Elliot, Becca Dingman, Sooyeon Lee, Akhter Al Amin, and Matt Huenerfauth
    ACM Trans. Access. Comput. 2022
  3. CHI
    Comparison of Methods for Evaluating Complexity of Simplified Texts among Deaf and Hard-of-Hearing Adults at Different Literacy Levels
    Oliver Alonzo, Jessica Trussell, Becca Dingman, and Matt Huenerfauth
    In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems 2021
    See More
  4. CHI
    Automatic Text Simplification Tools for Deaf and Hard of Hearing Adults: Benefits of Lexical Simplification and Providing Users with Autonomy
    Oliver Alonzo, Matthew Seita, Abraham Glasser, and Matt Huenerfauth
    In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems 2020
    See More

news

Feb 21, 2022 The extension of our ASSETS’20 paper, in which we explored social accessibility issues related to automatic text simplification, was accepted into TACCESS!
Feb 10, 2022 Our CHI’22 submission was accepted 🎉 Our paper explores methods for evaluating the fluency of automatically simplified texts among DHH adults at different literacy levels.
Dec 6, 2021 I passed my dissertation proposal defense! I’m officially ABD now.
Jul 14, 2021 I was selected to participate in the ASSETS’21 Doctoral Consortium!
Jun 15, 2021 The extension of our ASSETS’19 paper, led by Saad Hassan this time, was accepted into TACCESS 🎉