Matthew Seita

Matthew Seita

HCI PhD Student at the Rochester Institute of Technology

Publications

You can also find my articles on my Google Scholar profile.
  1. Matthew Seita, Sarah Andrew, and Matt Huenerfauth. 2021. “Deaf and Hard-of-Hearing Users' Preferences for Hearing Speakers' Behavior During Technology-Mediated In-Person and Remote Conversations,” In Proceedings of the 18th International Web for All Conference (W4A '21). Association for Computing Machinery, New York, NY, USA, Article 25, 1–12. DOI:https://doi.org/10.1145/3430263.3452430

  2. Matthew Seita and Matt Huenerfauth. 2020. “Deaf Individuals' Views on Speaking Behaviors of Hearing Peers when Using an Automatic Captioning App.” In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20). Association for Computing Machinery, New York, NY, USA, 1–8. DOI:https://doi.org/10.1145/3334480.3383083

  3. 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

  4. Larwan Berke, Matthew Seita, and Matt Huenerfauth. 2020. “Deaf and Hard-of-Hearing Users' Prioritization of Genres of Online Video Content Requiring Accurate Captions.” In Proceedings of the 17th International Web for All Conference (W4A '20). Association for Computing Machinery, New York, NY, USA, Article 3, 1–12. DOI:https://doi.org/10.1145/3371300.3383337

  5. Utsav Shah., Matthew Seita, Matt Huenerfauth. (2019). “Evaluation of User-Interface Designs for Educational Feedback Software for ASL Students.” In: Antona M., Stephanidis C. (eds) Universal Access in Human-Computer Interaction. Theory, Methods and Tools. HCII 2019. Lecture Notes in Computer Science, vol 11572. Springer, Cham. https://doi.org/10.1007/978-3-030-23560-4_37

  6. Larwan Berke, Khaled Albusays, Matthew Seita, and Matt Huenerfauth. 2019. “Preferred Appearance of Captions Generated by Automatic Speech Recognition for Deaf and Hard-of-Hearing Viewers.” In Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHI EA '19). Association for Computing Machinery, New York, NY, USA, Paper LBW1713, 1–6. DOI:https://doi.org/10.1145/3290607.3312921

  7. 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

  8. Raja Kushalnagar, Matthew Seita, and Abraham Glasser. 2017. “Closed ASL Interpreting for Online Videos.” In Proceedings of the 14th International Web for All Conference (W4A '17). Association for Computing Machinery, New York, NY, USA, Article 32, 1–4. DOI:https://doi.org/10.1145/3058555.3058578

  9. Syed Kamran Haider, Masab Ahmad, Farrukh Hijaz, Astha Patni, Ethan Johnson, Matthew Seita, Omer Khan, Marten van Dijk. 2015. "M-MAP: Multi-factor memory authentication for secure embedded processors," 2015 33rd IEEE International Conference on Computer Design (ICCD), 2015, pp. 471-474, doi: 10.1109/ICCD.2015.7357151