Huenerfauth, Matt

Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective

Bragg, D., Koller, O., Bellard, M., Berke, L., Boudreault, P., Braffort, A., Caselli, N., Huenerfauth, M., Kacorri, H., Verhoef, T., et al. (2019) · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility

Hand Gesture Recognition SystemsHearing Impairment and Communication

Cited by 422

Modeling the Speed and Timing of American Sign Language to Generate Realistic Animations

Al-khazraji, S., Berke, L., Kafle, S., Yeung, P., & Huenerfauth, M. (2018) · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility

Hand Gesture Recognition SystemsHuman Motion and Animation

Cited by 84

Interviews and Observation of Blind Software Developers at Work to Understand Code Navigation Challenges

Albusays, K., Ludi, S., & Huenerfauth, M. (2017) · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility

Digital Accessibility for DisabilitiesUsability and User Interface Design

Cited by 83

The FATE Landscape of Sign Language AI Datasets: An Interdisciplinary Perspective

Bragg, D., Caselli, N., Hochgesang, J. A., Huenerfauth, M., Katz-Hernandez, L., Koller, O., Kushalnagar, R., Vogler, C., & Ladner, R. E. (2021) · ACM Transactions on Accessible Computing

Ethics and Social Impacts of AIHand Gesture Recognition Systems

Cited by 55

Remotely Co-Designing Features for Communication Applications using Automatic Captioning with Deaf and Hearing Pairs

Seita, M., Lee, S., Andrew, S., Shinohara, K., & Huenerfauth, M. (2022) · CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignDigital Accessibility for Disabilities

Cited by 52

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

Berke, L., Albusays, K., Seita, M., & Huenerfauth, M. (2019) · Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems

Subtitles and Audiovisual MediaHearing Impairment and Communication

Cited by 48

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

Alonzo, O., Seita, M., Glasser, A., & Huenerfauth, M. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Text Readability and SimplificationDigital Accessibility for Disabilities

Cited by 46

Comparison of Methods for Teaching Accessibility in University Computing Courses

Zhao, Q., Mande, V., Conn, P., Al-khazraji, S., Shinohara, K., Ludi, S., & Huenerfauth, M. (2020) · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility

Digital Accessibility for DisabilitiesDisability Education and Employment

Cited by 40

Evaluating the Benefit of Highlighting Key Words in Captions for People who are Deaf or Hard of Hearing

Kafle, S., Yeung, P., & Huenerfauth, M. (2019) · Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility

Subtitles and Audiovisual MediaHearing Impairment and Communication

Cited by 39

Comparing evaluation techniques for text readability software for adults with intellectual disabilities

Huenerfauth, M., Feng, L., & Elhadad, N. (2009) · Proceedings of the 11th international ACM SIGACCESS conference on Computers and accessibility

Text Readability and SimplificationDigital Accessibility for Disabilities

Cited by 35

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

Seita, M., Albusays, K., Kafle, S., Stinson, M., & Huenerfauth, M. (2018) · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 32

Evaluation of Language Feedback Methods for Student Videos of American Sign Language

Huenerfauth, M., Gale, E., Penly, B., Pillutla, S., Willard, M., & Hariharan, D. (2017) · ACM Transactions on Accessible Computing

Hearing Impairment and CommunicationHand Gesture Recognition Systems

Cited by 30

Design and Evaluation of Hybrid Search for American Sign Language to English Dictionaries: Making the Most of Imperfect Sign Recognition

Hassan, S., Amin, A. A., Gordon, A., Lee, S., & Huenerfauth, M. (2022) · CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInformation Retrieval and Search Behavior

Cited by 21

Support in the Moment: Benefits and use of video-span selection and search for sign-language video comprehension among ASL learners

Hassan, S., Amin, A. A., de Lacerda Pataca, C., Navarro, D., Gordon, A., Lee, S., & Huenerfauth, M. (2022) · Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility

Hearing Impairment and CommunicationSubtitles and Audiovisual Media

Cited by 14

Comparing Methods of Displaying Language Feedback for Student Videos of American Sign Language

Huenerfauth, M., Gale, E., Penly, B., Willard, M., & Hariharan, D. (2015) · Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility - ASSETS '15

Hearing Impairment and CommunicationHand Gesture Recognition Systems

Cited by 11

Recognizing American Sign Language Nonmanual Signal Grammar Errors in Continuous Videos

Vahdani, E., Jing, L., Tian, Y., & Huenerfauth, M. (2021) · 2020 25th International Conference on Pattern Recognition (ICPR)

Hand Gesture Recognition SystemsHearing Impairment and Communication

Cited by 7

Understanding ASL Learners’ Preferences for a Sign Language Recording and Automatic Feedback System to Support Self-Study

Hassan, S., Lee, S., Metaxas, D., Neidle, C., & Huenerfauth, M. (2022) · Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility

Hearing Impairment and CommunicationHand Gesture Recognition Systems

Cited by 6

Evaluation of User-Interface Designs for Educational Feedback Software for ASL Students

Shah, U., Seita, M., & Huenerfauth, M. (2019) · Lecture Notes in Computer Science

Usability and User Interface DesignHearing Impairment and Communication

Cited by 5

ASL Educators' Perspectives on AI for Enhancing Student Learning in American Sign Language Education

Hassan, S., Nourian, L., de Lacerda Pataca, C., M Olson, M., D'aurio, T., Agarwal, K., Asad, S. M. N., Tigwell, G. W., & Huenerfauth, M. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems

Hearing Impairment and CommunicationArtificial Intelligence in Education

Cited by 1