Matthew Seita

Matthew Seita

HCI PhD Student at the Rochester Institute of Technology

Posts by Collection

portfolio

publications

M-map: Multi-factor memory authentication for secure embedded processors

Published in 33rd IEEE International Conference on Computer Design (ICCD), 2015

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Recommended citation: 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. http://mss4296.github.io/files/mmap.pdf

Behavioral Changes in Speakers who are Automatically Captioned in Meetings with Deaf or Hard-of-Hearing Peers

Published in Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility, 2018

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Recommended citation: 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. http://mss4296.github.io/files/BehavioralChangesInSpeakers.pdf

Preferred Appearance of Captions Generated by Automatic Speech Recognition for Deaf and Hard-of-Hearing Viewers

Published in Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

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Recommended citation: 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. http://mss4296.github.io/files/PreferredAppearanceOfCaptions.pdf

Deaf and Hard-of-Hearing Users’ Prioritization of Genres of Online Video Content Requiring Accurate Captions

Published in Proceedings of the 17th International Web for All Conference, 2020

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Recommended citation: 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. http://mss4296.github.io/files/DHHPrioritizationOfGenres.pdf

Automatic Text Simplification Tools for Deaf and Hard of Hearing Adults: Benefits of Lexical Simplification and Providing Users with Autonomy

Published in Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

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Recommended citation: 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. http://mss4296.github.io/files/ATSToolsForDHHAdults.pdf

Deaf Individuals’ Views on Speaking Behaviors of Hearing Peers when Using an Automatic Captioning App

Published in Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 2020

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Recommended citation: 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. http://mss4296.github.io/files/DHHViewsOnSpeakingBehaviors.pdf

Deaf and Hard-of-Hearing Users’ Preferences for Hearing Speakers’ Behavior During Technology-Mediated In-Person and Remote Conversations

Published in Proceedings of the 18th International Web for All Conference, 2021

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Recommended citation: 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. http://mss4296.github.io/files/DHHPreferencesForHearingSpeakersBehaviors.pdf

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.