Research
Matt Huenerfauth's research is in the areas of human computer interaction, natural language processing, and accessibility for people with disabilities - with an over-arching theme of studying the design and evaluation of linguistic technologies to benefit people who are deaf or hard-of-hearing. He has secured over $5.4 million in research funding, including a National Science Foundation CAREER Award in 2008.
Matt Huenerfauth directs the Linguistic and Assistive Technologies Laboratory (LATLab) and co-directs the Center for Accessibility and Inclusion Research (CAIR, pronounced "care"), whose websites contain up-to-date information about his research projects.
Publications
A list of publications and presentations is included below. This section begins with links to online listings of publications and citations. Next, publications are listed for the following years: 2023, 2022, 2021, 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002, and 2001.
Online Listings of Publications and Citations
You can view the Google Scholar Author page for Matt Huenerfauth, the ACM Digital Library Author Profile for Matt Huenerfauth, or the ORCID profile for Matt Huenerfauth.
2023
Caluã de Lacerda Pataca, Matthew Watkins, Roshan Peiris, Sooyeon Lee, and Matt Huenerfauth. 2023. Visualization of Speech Prosody and Emotion in Captions: Accessibility for Deaf and Hard-of-Hearing Users. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Association for Computing Machinery, New York, NY, USA, Article 831, 1–15. https://doi.org/10.1145/3544548.3581511
Akhter Al Amin, Saad Hassan, Matt Huenerfauth, and Cecilia Ovesdotter Alm. 2023. Modeling Word Importance in Conversational Transcripts: Toward improved live captioning for Deaf and hard of hearing viewers. In Proceedings of the 20th International Web for All Conference (W4A '23). Association for Computing Machinery, New York, NY, USA, 79–83. https://doi.org/10.1145/3587281.3587290
Akhter Al Amin, Saad Hassan, Sooyeon Lee, and Matt Huenerfauth. 2023. Understanding How Deaf and Hard of Hearing Viewers Visually Explore Captioned Live TV News. In Proceedings of the 20th International Web for All Conference (W4A '23). Association for Computing Machinery, New York, NY, USA, 54–65. https://doi.org/10.1145/3587281.3587287
Akhter Al Amin, Joseph Mendis, Raja Kushalnagar, Christian Vogler, and Matt Huenerfauth. 2023. Who is speaking: Unpacking In-text Speaker Identification Preference of Viewers who are Deaf and Hard of Hearing while Watching Live Captioned Television Program. In Proceedings of the 20th International Web for All Conference (W4A '23). Association for Computing Machinery, New York, NY, USA, 44–53. https://doi.org/10.1145/3587281.3587286
Akher Al Amin, Joseph Mendis, Raja Kushalnagar, Christian Vogler, Sooyeon Lee, and Matt Huenerfauth. 2022. Deaf and Hard of Hearing Viewers’ Preference for Speaker Identifier Type in Live TV Programming. In Universal Access in Human-Computer Interaction. Novel Design Approaches and Technologies: 16th International Conference, UAHCI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26 – July 1, 2022, Proceedings, Part I. Springer-Verlag, Berlin, Heidelberg, 200–211. https://doi.org/10.1007/978-3-031-05028-2_13
2022
Oliver Alonzo, Sooyeon Lee, Mounica Maddela, Wei Xu, Matt Huenerfauth. 2022. "A Dataset of Word-Complexity Judgements from Deaf and Hard-of-Hearing Adults for Text Simplification." Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022), The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022).
Matt Huenerfauth. 2022. "Human-Computer Interaction and Automatic Text Simplification: Understanding the Perspective of Deaf and Hard of Hearing Users." Keynote Presentation, Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022), The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022).
Joseph Bochner, Vincent Samar, Emily Prud’hommeaux, and Matt Huenerfauth. 2022. "Phoneme Categorization in Prelingually Deaf Adult Cochlear Implant Users." Journal of Speech, Language, and Hearing Research, Volume 65, pages 4429–4453, November 2022. https://doi.org/10.1044/2022_JSLHR-22-00038
Oliver Alonzo, Lisa Elliot, Becca Dingman, Sooyeon Lee, Akhter Al Amin, and Matt Huenerfauth. 2022. "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, Article 16 (June 2022), 31 pages. https://doi.org/10.1145/3520198
Saad Hassan, Sooyeon Lee, Dimitris Metaxas, Carol Neidle, and Matt Huenerfauth. 2022. "Understanding ASL Learners’ Preferences for a Sign Language Recording and Automatic Feedback System to Support Self-Study." In Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '22). Association for Computing Machinery, New York, NY, USA, Article 85, 1–5. https://doi.org/10.1145/3517428.3550367
Saad Hassan, Akhter Al Amin, Caluã de Lacerda Pataca, Diego Navarro, Alexis Gordon, Sooyeon Lee, and Matt Huenerfauth. 2022. "Support in the Moment: Benefits and use of video-span selection and search for sign-language video comprehension among ASL learners." In Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '22). Association for Computing Machinery, New York, NY, USA, Article 29, 1–14. https://doi.org/10.1145/3517428.3544883 Conference Award: Best Paper Nominee, ASSETS 2022. (Top 5% of submissions.)
Saad Hassan, Matthew Seita, Larwan Berke, Yingli Tian, Elaine Gale, Sooyeon Lee, Matt Huenerfauth. 2022. “ASL-Homework-RGBD Dataset: An annotated dataset of 45 fluent and non-fluent signers performing American Sign Language homeworks.” In Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources, at the Language Resources and Evaluation Conference (LREC 2022).
Zhaoyang Xia, Yuxiao Chen, Qilong Zhangli, Matt Huenerfauth, Carol Neidle, Dimitris Metaxas. 2022. “Sign Language Video Anonymization.” In Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources, at the Language Resources and Evaluation Conference (LREC 2022).
Akhter Al Amin, Saad Hassan, Cecilia Alm, Matt Huenerfauth. 2022. “Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing Users.” The Second Workshop on Language Technology for Equality, Diversity and Inclusion (LT-EDI), at the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Association for Computational Linguistics. Pages 35-40. https://aclanthology.org/2022.ltedi-1.5 DOI: 10.18653/v1/2022.ltedi-1.5
Akhter Al Amin, Saad Hassan, Sooyeon Lee, and Matt Huenerfauth. 2022. "Watch It, Don’t Imagine It: Creating a Better Caption-Occlusion Metric by Collecting More Ecologically Valid Judgments from DHH Viewers." In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 459, 1–14. https://doi.org/10.1145/3491102.3517681
Matthew Seita, Sooyeon Lee, Sarah Andrew, Kristen Shinohara, and Matt Huenerfauth. 2022. "Remotely Co-Designing Features for Communication Applications using Automatic Captioning with Deaf and Hearing Pairs." In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 460, 1–13. https://doi.org/10.1145/3491102.3501843
Abraham Glasser, Matthew Watkins, Kira Hart, Sooyeon Lee, and Matt Huenerfauth. 2022. "Analyzing Deaf and Hard-of-Hearing Users’ Behavior, Usage, and Interaction with a Personal Assistant Device that Understands Sign-Language Input." In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 306, 1–12. https://doi.org/10.1145/3491102.3501987
Oliver Alonzo, Jessica Trussell, Matthew Watkins, Sooyeon Lee, and Matt Huenerfauth. 2022. "Methods for Evaluating the Fluency of Automatically Simplified Texts with Deaf and Hard-of-Hearing Adults at Various Literacy Levels." In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 267, 1–10. https://doi.org/10.1145/3491102.3517566
Saad Hassan, Akhter Al Amin, Alexis Gordon, Sooyeon Lee, and Matt Huenerfauth. 2022. "Design and Evaluation of Hybrid Search for American Sign Language to English Dictionaries: Making the Most of Imperfect Sign Recognition." In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 195, 1–13. https://doi.org/10.1145/3491102.3501986
Akher Al Amin, Joseph Mendis, Raja Kushalnagar, Christian Vogler, Sooyeon Lee, and Matt Huenerfauth. 2022. Deaf and Hard of Hearing Viewers’ Preference for Speaker Identifier Type in Live TV Programming. In Universal Access in Human-Computer Interaction. Novel Design Approaches and Technologies: 16th International Conference, UAHCI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26 – July 1, 2022, Proceedings, Part I. Springer-Verlag, Berlin, Heidelberg, 200–211. https://doi.org/10.1007/978-3-031-05028-2_13
2021
Journal Articles
Sushant Kafle, Becca Dingman, Matt Huenerfauth. 2021. “Deaf and Hard-of-Hearing Users Evaluating Designs for Highlighting Key Words in Educational Lecture Videos.” ACM Transactions on Accessible Computing, 14, 4, Article 20 (December 2021), 24 pages. DOI: https://doi.org/10.1145/3470651
[Available on ACM Digital Library]
Saad Hassan, Oliver Alonzo, Abraham Glasser, and Matt Huenerfauth. 2021. “Effect of Sign-recognition Performance on the Usability of Sign-language Dictionary Search.” ACM Transactions on Accessible Computing, 14, 4, Article 18 (December 2021), 33 pages. DOI: https://doi.org/10.1145/3470650
[Available on ACM Digital Library]
Danielle Bragg, Naomi Caselli, Julie A. Hochgesang, Matt Huenerfauth, Leah Katz-Hernandez, Oscar Koller, Raja Kushalnagar, Christian Vogler, Richard E. Ladner. 2021. “The FATE Landscape of Sign Language AI Datasets: An Interdisciplinary Perspective.” ACM Transactions on Accessible Computing, 14, 2, Article 7 (July 2021), 45 pages. DOI: https://doi.org/10.1145/3436996
[Available on ACM Digital Library]
Book Chapters
Akhter Al Amin, Abraham Glasser, Raja Kushalnagar, Christian Vogler, Matt Huenerfauth. 2021. “Preferences of Deaf or Hard of Hearing Users for Live-TV Caption Appearance.” In: Antona M., Stephanidis C. (eds) Universal Access in Human-Computer Interaction. Access to Media, Learning and Assistive Environments. HCII 2021. Lecture Notes in Computer Science, vol 12769. Springer, Cham. https://doi.org/10.1007/978-3-030-78095-1_15 [peer-reviewed conference paper, published as chapter]
[Available from Springer]
Akhter Al Amin, Saad Hassan, Matt Huenerfauth. 2021. “Effect of Occlusion on Deaf and Hard of Hearing Users’ Perception of Captioned Video Quality.” In: Antona M., Stephanidis C. (eds) Universal Access in Human-Computer Interaction. Access to Media, Learning and Assistive Environments. HCII 2021. Lecture Notes in Computer Science, vol 12769. Springer, Cham. https://doi.org/10.1007/978-3-030-78095-1_16 [peer-reviewed conference paper, published as book chapter]
[Available from Springer]
Conference Proceedings
Saad Hassan, Matt Huenerfauth, Cecilia Ovesdotter Alm. 2021. “Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens.” In Findings of the Association for Computational Linguistics: EMNLP 2021, Punta Cana, Dominican Republic, November 2021. Pages 3116-3123. Association for Computational Linguistics. https://aclanthology.org/2021.findings-emnlp.267 [34.9% aggregate acceptance rate for EMNLP and Findings of EMNLP]
[Available on ACL Anthology]
Sooyeon Lee, Abraham Glasser, Becca Dingman, Zhaoyang Xia, Dimitris Metaxas, Carol Neidle, Matt Huenerfauth. 2021. “American Sign Language Video Anonymization to Support Online Participation of Deaf and Hard of Hearing Users.” In The 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS'21). Association for Computing Machinery, New York, NY, USA, Article 22, 1–13. DOI: https://doi.org/10.1145/3441852.3471200. [29% paper acceptance rate]
[Available on ACM Digital Library]
Conference Award: Best Paper Nominee (top 7% of submissions), ASSETS 2021.
Sedeeq Al-khazraji, Becca Dingman, Sooyeon Lee, Matt Huenerfauth. 2021. “At a Different Pace: Evaluating Whether Users Prefer Timing Parameters in American Sign Language Animations to Differ from Human Signers’ Timing.” In The 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS'21). Association for Computing Machinery, New York, NY, USA, Article 40, 1–12. DOI: https://doi.org/10.1145/3441852.3471214 [29% paper acceptance rate]
[Available on ACM Digital Library]
Oliver Alonzo, Jessica Trussell, Becca Dingman, Matt Huenerfauth. 2021. “Comparison of Methods for Evaluating Complexity of Simplified Texts among Deaf and Hard-of-Hearing Adults at Different Literacy Levels.” In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI ’21). Association for Computing Machinery, New York, NY, USA, Article 279, 1–12. DOI: https://doi.org/10.1145/3411764.3445038 [23% paper acceptance rate]
[Available on ACM Digital Library]
Vaishnavi Mande, Abraham Glasser, Becca Dingman, Matt Huenerfauth. 2021. “Deaf Users' Preferences Among Wake-Up Approaches during Sign-Language Interaction with Personal Assistant Devices.” In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (CHI’21), New York, NY, USA, Article 370, 1–6. DOI: https://doi.org/10.1145/3411763.3451592 [27% paper acceptance rate]
[Available on ACM Digital Library]
Abraham Glasser, Vaishnavi Mande, Matt Huenerfauth. 2021. “Understanding Deaf and Hard-of-Hearing Users’ Interest in Sign-Language Interaction with Personal-Assistant Devices.” In Proceedings of the 18th International Web for All Conference (W4A’21). ACM, New York, NY, USA. DOI: https://doi.org/10.1145/3430263.3452428 [53% paper acceptance rate]
[Available on ACM Digital Library]
Akhter Al Amin, Saad Hassan, Matt Huenerfauth. 2021. “Caption-Occlusion Severity Judgments across Live-Television Genres from Deaf and Hard-of-Hearing Viewers.” In Proceedings of the 18th International Web for All Conference (W4A’21). ACM, New York, NY, USA. DOI: https://doi.org/10.1145/3430263.3452429 [53% paper acceptance rate]
[Available on ACM Digital Library]
Matthew Seita, Sarah Andrew, 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). ACM, New York, NY, USA. DOI: https://doi.org/10.1145/3430263.3452429 [53% paper acceptance rate]
[Available on ACM Digital Library]
Other Works
Akhter Al Amin, Matt Huenerfauth. 2021. “Perspectives of Deaf and Hard-of-Hearing Viewers on Live-TV Caption Quality.” Proceedings of the iConference 2021. Poster Presentation.
2020
Journal Articles
Paula Conn, Taylor Gotfrid, Qiwen Zhao, Rachel Celestine, Vaishnavi Manish Mande, Kristen Shinohara, Stephanie Ludi, Matt Huenerfauth. 2020. “Understanding the Motivations of Final-Year Computing Undergraduates for Considering Accessibility.” ACM Transactions on Computing Education 20, 2, Article 15 (May 2020), 22 pages. DOI: https://doi.org/10.1145/3381911
[Available on ACM Digital Library]
Jessica Li, Matt Luettgen, Matt Huenerfauth, Sedeeq Al-khazraji, Reynold Bailey, Cecilia O. Alm. 2020. “Gaze Guidance for Captioned Videos for DHH Users.” Journal on Technology and Persons with Disabilities, Volume 8, California State University, Northridge. http://scholarworks.csun.edu/handle/10211.3/125007
[Available on ScholarWorks]
Book Chapters
Peter Yeung, Oliver Alonzo, Matt Huenerfauth. 2020. “Interest and Requirements for Sound-Awareness Technologies among Deaf and Hard-of-Hearing Users of Assistive Listening Devices.” In: Antona M., Stephanidis C. (eds) Universal Access in Human-Computer Interaction. Applications and Practice. HCII 2020. Lecture Notes in Computer Science, vol 12189. Springer, Cham. https://doi.org/10.1007/978-3-030-49108-6_11 [peer-reviewed conference paper, published as book chapter]
[Available from Springer]
Conference Proceedings
Oliver Alonzo, Lisa Elliot, Becca Dingman, and Matt Huenerfauth. 2020. “Reading Experiences and Interest in Reading-Assistance Tools Among Deaf and Hard-of-Hearing Computing Professionals.” In The 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '20). Association for Computing Machinery, New York, NY, USA, Article 45, 1–13. DOI:https://doi.org/10.1145/3373625.3416992 [28% paper-acceptance rate]
[Available on ACM Digital Library]
Qiwen Zhao, Vaishnavi Mande, Paula Conn, Sedeeq Al-khazraji, Kristen Shinohara, Stephanie Ludi, and Matt Huenerfauth. 2020. “Comparison of Methods for Teaching Accessibility in University Computing Courses.” In The 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '20). Association for Computing Machinery, New York, NY, USA, Article 6, 1–12. DOI:https://doi.org/10.1145/3373625.3417013 [28% paper-acceptance rate]
[Available on ACM Digital Library]
Abraham Glasser, Vaishnavi Mande, and Matt Huenerfauth. 2020. “Accessibility for Deaf and Hard of Hearing Users: Sign Language Conversational User Interfaces.” In Proceedings of the 2nd Conference on Conversational User Interfaces (CUI '20). Association for Computing Machinery, New York, NY, USA, Article 55, 1–3. DOI:https://doi.org/10.1145/3405755.3406158 [33.3% paper-acceptance rate]
[Available on ACM Digital Library]
Elahe Vahdani, Longlong Jing, Ying-li Tian, Matt Huenerfauth. 2020. “Recognizing American Sign Language Nonmanual Signal Grammar Errors in Continuous Videos.” In Proceedings of the 2020 25th International Conference on Pattern Recognition (ICPR 2020). [35.6% paper-acceptance rate]
[Available from ICPR]
Saad Hassan, Larwan Berke, Elahe Vahdani, Longlong Jing, Yingli Tian, Matt Huenerfauth. 2020. “An Isolated-Signing RGBD Dataset of 100 American Sign Language Signs Produced by Fluent ASL Signers.” In Proceedings of the LREC2020 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives. European Language Resources Association (ELRA), 89–94. https://www.aclweb.org/anthology/2020.signlang-1.14
[Available on the ACL Anthology]
Oliver Alonzo, Matthew Seita, Abraham Glasser, 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 ACM Conference on Human Factors in Computing Systems (CHI'20). New York, ACM. DOI: https://doi.org/10.1145/3313831.3376563 [24% paper-acceptance rate]
[Available on ACM Digital Library]
Larwan Berke, Matthew Seita, 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 - Automation for Accessibility (W4A’20). ACM, New York, NY, USA. DOI: https://doi.org/10.1145/3371300.3383337 [41% paper-acceptance rate]
[Available on ACM Digital Library]
Sedeeq Al-khazraji, Becca Dingman, Matt Huenerfauth. 2020. “Empirical Investigation of Users’ Preferred Timing Parameters for American Sign Language Animations.” In Proceedings of the 2020 ACM Conference on Human Factors in Computing Systems (CHI'20 Extended Abstracts). ACM, New York, NY, USA. DOI: https://doi.org/10.1145/3334480.3382989 [41.8% paper-acceptance rate]
[Available on ACM Digital Library]
Matthew Seita, Matt Huenerfauth. 2020. “Deaf Individuals’ Views on Speaking Behaviors of Hearing Peers when Using an Automatic Captioning App.” In Proceedings of the 2020 ACM Conference on Human Factors in Computing Systems (CHI'20 Extended Abstracts). ACM, New York, NY, USA. DOI: https://doi.org/10.1145/3334480.3383083 [41.8% paper-acceptance rate]
[Available on ACM Digital Library]
Other Works
Abraham Glasser, Vaishnavi Mande, Matt Huenerfauth. 2020. “On How Deaf and Hard of Hearing Users Might Use Sign Language Conversational User Interfaces.” Sign Language Recognition, Translation & Production (SLRTP) Workshop, at the 16th European Conference on Computer Vision (ECCV’20). Poster Presentation.
Saad Hassan, Oliver Alonzo, Abraham Glasser, Matt Huenerfauth. 2020. “Effect of Ranking and Precision of Results on Users’ Satisfaction with Search-by-Video Sign-Language Dictionaries.” Sign Language Recognition, Translation & Production (SLRTP) Workshop, at the 16th European Conference on Computer Vision (ECCV’20). Poster Presentation.
Sushant Kafle, Abraham Glasser, Sedeeq Al-khazraji, Larwan Berke, Matthew Seita, and Matt Huenerfauth. 2020. “Artificial Intelligence Fairness in the Context of Accessibility Research on Intelligent Systems for People who are Deaf or Hard of Hearing.” SIGACCESS Accessibility and Computing, 125, Article 4 (March 2020), 1 pages. DOI: https://doi.org/10.1145/3386296.3386300
[Available on ACM Digital Library]
Danielle Bragg, Meredith Ringel Morris, Matt Huenerfauth, Christian Vogler, Raja Kushalnagar, Hernisa Kacorri. 2020. “Sign Language Interfaces: Discussing the Field’s Biggest Challenges.” 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, 1–5. DOI: https://doi.org/10.1145/3334480.3381053
[Available on ACM Digital Library]
2019
Journal Articles
Larwan Berke, Matt Huenerfauth, and Kasmira Patel. 2019. Design and
Psychometric Evaluation of American Sign Language Translations of
Usability Questionnaires. ACM Transactions on Accessible Computing
12, 2, Article 6 (June 2019), 43 pages. https://doi.org/10.1145/3314205
[Available on ACM Digital Library]
Sushant Kafle and Matt Huenerfauth. 2019. Predicting the Understandability
of Imperfect English Captions for People Who Are Deaf or Hard of Hearing.
ACM Transactions on Accessible Computing 12, 2, Article 7 (June 2019),
32 pages. https://doi.org/10.1145/3325862
[Available on ACM Digital Library]
Abhishek Mhatre, Sedeeq Al-khazraji, Matt Huenerfauth. 2019.
Evaluating Sign Language Animation through Models of Eye Movements.
Journal on Technology and Persons with Disabilities,
California State University, Northridge.
[Available on ScholarWorks]
Book Chapters
Utsav Shah, Matthew Seita, and 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.
DOI: https://doi.org/10.1007/978-3-030-23560-4_37
[Available from Springer]
Abhishek Kannekanti, Sedeeq Al-khazraji, and Matt Huenerfauth. 2019.
Design and Evaluation of a User-Interface for Authoring Sentences of
American Sign Language Animation. 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. DOI: https://doi.org/10.1007/978-3-030-23560-4_19
Conference Award: Best Paper Award, UAHCI 2019.
[Available from Springer]
Conference Proceedings
Danielle Bragg, Oscar Koller, Mary Bellard, Larwan Berke, Patrick Boudreault, Annelies
Braffort, Naomi Caselli, Matt Huenerfauth, Hernisa Kacorri, Tessa Verhoef, Christian Vogler,
Meredith Ringel Morris. 2019 (conditionally accepted). Sign Language Recognition, Generation,
and Translation: An Interdisciplinary Perspective. In Proceedings of the 21st International
ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '19). ACM, New York, NY, USA.
Conference acceptance rate of 26%
[
Will be Available on ACM Digital Library]
Sushant Kafle, Peter Yeung and Matt Huenerfauth. 2019 (conditionally accepted).
Evaluating the Benefit of Highlighting Key Words in Captions for People who are Deaf or Hard
of Hearing. In Proceedings of the 21st International ACM SIGACCESS Conference on Computers
and Accessibility (ASSETS '19). ACM, New York, NY, USA.
Conference acceptance rate of 26%
[Will be Available on ACM Digital Library]
Oliver Alonzo, Abraham Glasser and Matt Huenerfauth. 2019 (conditionally accepted).
Effect of Automatic Sign Recognition Performance on the Usability of Video-Based Search
Interfaces for Sign Language Dictionaries. In Proceedings of the 21st International ACM
SIGACCESS Conference on Computers and Accessibility (ASSETS '19). ACM, New York, NY, USA.
Conference acceptance rate of 26%
[Will be Available on ACM Digital Library]
Sushant Kafle, Cecilia O. Alm, Matt Huenerfauth. 2019. Fusion Strategy for Prosodic
and Lexical Representations of Word Importance. In Proceedings of the 20th Annual Conference of the
International Speech Communication Association (INTERSPEECH 2019), Graz, Austria.
International Speech Communication Association.
Conference acceptance rate below 50%
[Will be available from ISCA Online]
Larwan Berke, Khaled Albusays, Matthew Seita, Matt Huenerfauth. 2019.
Preferred Appearance of Captions Generated by Automatic Speech
Recognition for Deaf and Hard-of-Hearing Viewers. In
Proceedings of the 2019 ACM Conference on Human Factors in Computing
Systems (CHI'19 Extended Abstracts). ACM, New York, NY, USA, Paper LBW1713, 6 pages.
DOI: https://doi.org/10.1145/3290607.3312921
[Available on ACM Digital Library]
Sushant Kafle, Cecilia O. Alm, Matt Huenerfauth. 2019. Modeling
Acoustic-Prosodic Cues for Word Importance Prediction in Spoken Dialogues.
In Proceedings of the 8th Workshop on Speech and Language Processing
for Assistive Technologies (SLPAT'19). Collocated with the 2019
Annual Conference of the North American Chapter of the Association for
Computational Linguistics (NAACL'19). Minneapolis, Minnesota,
United States, June 7, 2019.
[Available on the ACL Anthology]
Other Works
Matthew Dye, Kim Kurz, Matt Huenerfauth. 2019. Sign Language Avatars
Activate Phonological and Semantic Representations: Evidence from
Working Memory and Priming Paradigms. Paper presented at the 13th
Conference on Theoretical Issues in Sign Language Research (TISLR 13),
Hamburg, Germany.
Conference acceptance rate of 6%.
Spandana Jaggumantri, Sedeeq Al-Khazraji, Abraham Glasser, and Matt Huenerfauth. 2019. Designing an Interface to Support the Creation of Animations of Individual ASL Signs. The 6th Workshop on Sign Language Translation and Avatar Technology. Satellite workshop of the 13th conference of Theoretical Issues in Sign Language Research (TISLR13), Hamburg, Germany, September 29, 2019.
Joseph Bochner, Vincent Samar, Emily Prud'hommeaux, Matt Huenerfauth, Max Coppock. 2019. Categorical Perception in Cochlear Implant Users with Early-Onset Profound Deafness. Poster presented at the 31st American Psychological Society Annual Convention (APS'19), May 23-26, 2019, Washington, D.C., USA.
Sushant Kafle and Matt Huenerfauth. 2019. Usability Evaluation of Captions
for People who are Deaf or Hard of Hearing. SIGACCESS Accessible Computing,
122, Article 1 (October 2018). ACM, New York, NY, USA.
http://www.sigaccess.org/newsletter/2018-10/kafle.html
[Available on ACM SIGACCESS Website]
2018
Journal Articles
Jigar Gohel, Sedeeq Al-khazraji, Matt Huenerfauth. 2018.
Modeling the Use of Space for Pointing in American Sign Language Animation.
Journal on Technology and Persons with Disabilities,
California State University, Northridge.
[Available on ScholarWorks]
Book Chapters
Dhananjai Hariharan, Sedeeq Al-khazraji, Matt Huenerfauth. 2018.
Evaluation of an English Word Look-Up Tool for Web-Browsing with Sign
Language Video for Deaf Readers. Universal Access in Human-Computer
Interaction. Methods, Technologies, and Users. UAHCI 2018. Lecture
Notes in Computer Science, Volume 10907, pages 205-215. Springer, Cham.
DOI: https://doi.org/10.1007/978-3-319-92049-8_15
[Available on Springerlink]
Conference Proceedings
Sedeeq Al-khazraji, Larwan Berke, Sushant Kafle, Peter Yeung and Matt
Huenerfauth. 2018. Modeling the Speed and Timing of American Sign
Language to Generate Realistic Animations. In Proceedings of the 20th
International ACM SIGACCESS Conference on Computers and Accessibility
(ASSETS '18). ACM, New York, NY, USA, 259-270. DOI: https://doi.org/10.1145/3234695.3236356
Conference acceptance rate of 26%
Conference Award: Best Paper Award, ASSETS 2018.
[Available on ACM Digital Library]
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). ACM, New York, NY, USA, 68-80. DOI: https://doi.org/10.1145/3234695.3236355
Conference acceptance rate of 26%
[Available on ACM Digital Library]
Yuancheng Ye, Yingli Tian, Matt Huenerfauth, and Jingya Liu. 2018.
Recognizing American Sign Language Gestures from within Continuous Videos. In
Proceedings of the 8th IEEE International Workshop on Analysis and Modeling of
Faces and Gestures (AMFG), The IEEE Conference on Computer Vision and Pattern
Recognition (CVPR) Workshops, 2018, pp. 2064-2073.
[Available on CvPR 2018 Open Access]
Larwan Berke, Sushant Kafle, Matt Huenerfauth. 2018.
Methods for Evaluation of Imperfect Captioning Tools by Deaf or
Hard-of-Hearing Users at Different Reading Literacy Levels. In
Proceedings of the 2018 ACM Conference on Human Factors in Computing
Systems (CHI'18). ACM, New York, NY, USA, Paper 91, 12 pages. DOI: https://doi.org/10.1145/3173574.3173665
Conference Award: Honorable Mention (top 5% of submissions), CHI 2018.
Conference acceptance rate of 25%
[Available on ACM Digital Library]
Stephanie Ludi, Matt Huenerfauth, Vicki L. Hanson, Nidhi Palan, and Paula Garcia.
2018. Teaching Inclusive Thinking to Undergraduate Students in Computing
Programs. In Proceedings of the 2018 ACM SIGCSE Technical Symposium on Computer
Science Education (SIGCSE'18). ACM, New York, NY, USA, 717-722. DOI: https://doi.org/10.1145/3159450.3159512
Conference acceptance rate of 35%
[Available on ACM Digital Library]
Sushant Kafle, Matt Huenerfauth. 2018. A Corpus for
Modeling Word Importance in Spoken Dialogue Transcripts. In
Proceedings of the 11th International Conference on Language
Resources and Evaluation (LREC 2018), Miyazaki, Japan.
[Available on ACL Anthology]
Sedeeq Al-khazraji, Sushant Kafle, Matt Huenerfauth. 2018.
Modeling and Predicting the Location of Pauses for the Generation of
Animations of American Sign Language. In Proceedings of the 8th
Workshop on the Representation and Processing of Sign Languages:
Involving the Language Community, The 11th International Conference
on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan.
[Available from the European Language Resources Association]
2017
Journal Articles
Hernisa Kacorri, Matt Huenerfauth, Sarah Ebling, Kasmira Patel, Kellie Menzies,
Mackenzie Willard. 2017. "Regression Analysis of Demographic and Technology Experience
Factors Influencing Acceptance of Sign Language Animation." ACM Transactions on
Accessible Computing. 10, 1, Article 3 (April 2017), 33 pages.
DOI: https://doi.org/10.1145/3046787
[Available on ACM Digital Library]
Matt Huenerfauth, Elaine Gale, Brian Penly, Sree Pillutla, Mackenzie Willard,
Dhananjai Hariharan. 2017. "Evaluation of Language Feedback Methods for Student Videos
of American Sign Language." ACM Transactions on Accessible Computing. 10, 1,
Article 2 (April 2017), 30 pages.
DOI: https://doi.org/10.1145/3046788
[Available on ACM Digital Library]
Kevin Rathbun, Larwan Berke, Christopher Caulfield, Michael Stinson, Matt
Huenerfauth. 2017. Eye Movements of Deaf and Hard of Hearing Viewers of Automatic
Captions. Journal on Technology and Persons with Disabilities, California
State University, Northridge.
[Available on ScholarWorks]
Conference Proceedings
Sushant Kafle and Matt Huenerfauth. 2017. Evaluating the Usability of Automatically
Generated Captions for People who are Deaf or Hard of Hearing. In Proceedings of the
19th International ACM SIGACCESS Conference on Computers and Accessibility
(ASSETS '17). ACM, New York, NY, USA, 165-174. DOI: https://doi.org/10.1145/3132525.3132542
Conference Award: Best Paper Award, ASSETS 2017.
[Available on ACM Digital Library]
Matt Huenerfauth, Kasmira Patel, and Larwan Berke. 2017. Design and Psychometric
Evaluation of an American Sign Language Translation of the System Usability Scale. In
Proceedings of the 19th International ACM SIGACCESS Conference on Computers and
Accessibility (ASSETS '17). ACM, New York, NY, USA, 175-184. DOI:
https://doi.org/10.1145/3132525.3132540
Conference Award: Best Paper Finalist (top 5% of submissions), ASSETS 2017.
[Available on ACM Digital Library]
Larwan Berke, Christopher Caulfield, and Matt Huenerfauth. 2017. Deaf and
Hard-of-Hearing Perspectives on Imperfect Automatic Speech Recognition for Captioning
One-on-One Meetings. In Proceedings of the 19th International ACM SIGACCESS
Conference on Computers and Accessibility (ASSETS '17). ACM, New York, NY, USA,
155-164. DOI: https://doi.org/10.1145/3132525.3132541
[Available on ACM Digital Library]
Khaled Albusays, Stephanie Ludi, and Matt Huenerfauth. 2017. Interviews and Observation
of Blind Software Developers at Work to Understand Code Navigation Challenges. In
Proceedings of the 19th International ACM SIGACCESS Conference on Computers and
Accessibility (ASSETS '17). ACM, New York, NY, USA, 91-100. DOI:
https://doi.org/10.1145/3132525.3132550
[Available on ACM Digital Library]
Nidhi Rajendra Palan, Vicki L. Hanson, Matt Huenerfauth, and Stephanie Ludi.
2017. Teaching Inclusive Thinking in Undergraduate Computing. In Proceedings of
the 19th International ACM SIGACCESS Conference on Computers and Accessibility
(ASSETS '17). ACM, New York, NY, USA, 399-400. DOI: https://doi.org/10.1145/3132525.3134808
[Available on ACM Digital Library]
Other Works
Michael Stinson, James Mallory, Lisa Elliot, Michael Stinson, Donna Easton, and Matt Huenerfauth. 2017. Field Study of Using Automatic Speech Recognition to Facilitate Communication between Deaf Students and Hearing Customers. NTID Scholarship Symposium, National Technical Institute for the Deaf, Rochester, NY, January 12, 2017. http://www.ntid.rit.edu/sites/default/files/pd/program_book_2017.pdf
Lisa Elliot, Michael Stinson, Donna Easton, James Mallory, and Matt Huenerfauth. 2017. Communication Strategies in the Workplace Survey. NTID Scholarship Symposium, National Technical Institute for the Deaf, Rochester, NY, January 12, 2017. http://www.ntid.rit.edu/sites/default/files/pd/program_book_2017.pdf
Larwan Berke, Sushant Kafle, Christopher Caulfield, Matt Huenerfauth, and Michael Stinson. 2017. Making the Best of Imperfect Automatic Speech Recognition for Captioning One-on-One Meetings. NTID Scholarship Symposium, National Technical Institute for the Deaf, Rochester, NY, January 12, 2017. http://www.ntid.rit.edu/sites/default/files/pd/program_book_2017.pdf
Larwan Berke, Matt Huenerfauth. 2017. Displaying Confidence from
Imperfect Automatic Speech Recognition for Captioning. Effective Access
Technologies Conference, Rochester, New York, USA. April 21, 2017. Poster
Presentation.
Award: 2nd Place, Best Poster Award Competition
2017.
Sedeeq Al-khazraji and Matt Huenerfauth. 2017. Modeling the Speed and Timing of American Sign Language to Generate Animations. Effective Access Technologies Conference, Rochester, New York, USA. April 21, 2017. Poster Presentation.
Khaled Albusays, Matt Huenerfauth, and Stephanie Ludi. 2017. Towards a Better Understanding of Code Navigation Challenges Faced by Developers who are Blind: Requirements Elicitation Study. Effective Access Technologies Conference, Rochester, New York, USA. April 21, 2017. Poster Presentation.
Sushant Kafle and Matt Huenerfauth. 2017. Effect of Speech Recognition Errors on Text Understandability for People who are Deaf or Hard of Hearing. Effective Access Technologies Conference, Rochester, New York, USA. April 21, 2017. Poster Presentation.
Larwan Berke, Aiko Resendiz, Kasmira Patel, Anmol Kaur, and Matt Huenerfauth. 2017. Creating a Training Dataset for an Automatic Educational Feedback System for American Sign Language Students. Effective Access Technologies Conference, Rochester, New York, USA. April 21, 2017. Poster Presentation.
Hernisa Kacorri, Matt Huenerfauth. 2017. Continuous Profile Models in ASL Syntactic Facial Expression Synthesis. The 11th Annual Machine Learning Symposium, New York Academy of Sciences, New York, NY, USA. March 3, 2017. Poster Presentation.
Sushant Kafle and Matt Huenerfauth. 2017. Modeling the Effect of Speech Recognition Errors on Text Understandability for People who are Deaf or Hard of Hearing. Move 78 Retreat on Artificial Intelligence, Rochester Institute of Technology, Rochester, New York, USA. February 17, 2017. Poster Presentation.
Larwan Berke, Kasmira Patel, Aiko Resendiz, Anmol Kaur, and Matt Huenerfauth. 2017. Creating a Training Dataset for an Automatic Educational Feedback System for American Sign Language Students. Move 78 Retreat on Artificial Intelligence, Rochester Institute of Technology, Rochester, New York, USA. February 17, 2017. Poster Presentation.
Sedeeq Al-khazraji and Matt Huenerfauth. 2017. Modeling the Speed and Timing of American Sign Language to Generate Animations. Move 78 Retreat on Artificial Intelligence, Rochester Institute of Technology, Rochester, New York, USA. February 17, 2017. Poster Presentation.
Jinjuan Heidi Feng, Matt Huenerfauth. 2017. Overview of the ASSETS 2016
Conference. SIGACCESS Accessibility and Computing. New York: ACM Press.
Issue 117 (February 2017), 3-8. DOI: https://doi.org/10.1145/3051519.3051520
[Available on ACM Digital Library]
2016
Journal Articles
Matt Huenerfauth, Hernisa Kacorri. 2016. Eyetracking Metrics Related to
Subjective Assessments of ASL Animations. Journal on Technology and Persons with
Disabilities, California State University, Northridge.
[Available on ScholarWorks]
Conference Proceedings
Hernisa Kacorri and Matt Huenerfauth. 2016. Continuous Profile Models in ASL
Syntactic Facial Expression Synthesis. Proceedings of the 54rd Annual Meeting
on Association for Computational Linguistics (ACL '16). Association for
Computational Linguistics, Stroudsburg, PA, USA.
[Available on ACL Anthology]
Lisa Elliot, Michael Stinson, James Mallory, Donna Easton, Matt Huenerfauth. 2016.
Deaf and Hard of Hearing Individuals’ Perceptions of Communication with Hearing
Colleagues in Small Groups. In Proceedings of the 18th Annual SIGACCESS Conference
on Computers and Accessibility (ASSETS'16). ACM, New York, NY, USA, 271-272. DOI:
https://doi.org/10.1145/2982142.2982198
[Available on ACM Digital Library]
[Available on Scholarworks]
Sushant Kafle, Matt Huenerfauth. 2016. Effect of Speech Recognition Errors on
Text Understandability for People who are Deaf or Hard of Hearing. Proceedings of the 7th Workshop
on Speech and Language Processing for Assistive Technologies (SLPAT), INTERSPEECH
2016, San Francisco, CA, USA.
[Available on Scholarworks]
Hernisa Kacorri, Matt Huenerfauth. 2016. Selecting Exemplar Recordings of American
Sign Language Non-Manual Expressions for Animation Synthesis Based on Manual Sign
Timing. Proceedings of the 7th Workshop on Speech and Language Processing for Assistive Technologies
(SLPAT), INTERSPEECH 2016, San Francisco, CA, USA.
[Available on Scholarworks]
Chenyang Zhang, Yingli Tian, Matt Huenerfauth. 2016. Multi-Modality American Sign
Language Recognition. In Proceedings of the IEEE International Conference on Image
Processing (ICIP 2016), Phoenix, Arizona, USA. DOI:
https://doi.org/10.1109/ICIP.2016.7532886
[Available on IEEE Explorer]
[Available on Scholarworks]
Mark Dilsizian, Zhiqiang Tang, Dimitris Metaxas, Matt Huenerfauth, Carol Neidle.
2016. The Importance of 3D Motion Trajectories for Computer-based Sign Recognition.
Proceedings of the 7th Workshop on the Representation and Processing of Sign
Languages: Corpus Mining, The 10th International Conference on Language Resources
and Evaluation (LREC 2016), Portoroz, Slovenia.
[Available on Scholarworks]
Hernisa Kacorri, Ali Raza Syed, Matt Huenerfauth, Carol Neidle. 2016. Centroid-Based
Exemplar Selection of ASL Non-Manual Expressions using Multidimensional Dynamic Time
Warping and MPEG4 Features. Proceedings of the 7th Workshop on the Representation and
Processing of Sign Languages: Corpus Mining, The 10th International Conference on
Language Resources and Evaluation (LREC 2016), Portoroz, Slovenia.
[Available on Scholarworks]
2015
Journal Articles
Matt Huenerfauth, Hernisa Kacorri. 2015. Best Practices for Conducting Evaluations
of Sign Language Animation. Journal on Technology and Persons with Disabilities,
Volume 3, September 2015, California State University, Northridge.
[Available on ScholarWorks]
Book Chapters
Hernisa Kacorri, Matt Huenerfauth. 2015. Comparison of
Finite-Repertoire and Data-Driven Facial Expressions for Sign Language Avatars.
Universal Access in Human-Computer Interaction, Access to Interaction. Lecture
Notes in Computer Science. Volume 9176, pp. 393-403. Switzerland: Springer
International Publishing.
[Available from Springer]
Conference Proceedings
Hernisa Kacorri, Matt Huenerfauth, Sarah Ebling, Kasmira Patel, Mackenzie Willard.
2015. Demographic and Experiential Factors Influencing Acceptance of Sign
Language Animation by Deaf Users. In Proceedings of the 17th Annual SIGACCESS
Conference on Computers and Accessibility (ASSETS'16). Lisbon, Portugal. New York:
ACM Press.
[Available on ACM Digital Library]
Matt Huenerfauth, Elaine Gale, Brian Penly, Mackenzie Willard, Dhananjai Hariharan.
2015. Comparing Methods of Displaying Language Feedback for Student
Videos of American Sign Language. In Proceedings of the 17th Annual SIGACCESS
Conference on Computers and Accessibility (ASSETS'16). Lisbon, Portugal. New York:
ACM Press.
[Available on ACM Digital Library]
Matt Huenerfauth, Pengfei Lu, Hernisa Kacorri. 2015. Synthesizing and Evaluating
Animations of American Sign Language Verbs Modeled from Motion-Capture Data.
Proceedings of the 6th Workshop on Speech and Language Processing for Assistive
Technologies (SLPAT), INTERSPEECH 2015, Dresden, Germany.
[Available on the ACL Anthology]
Hernisa Kacorri, Matt Huenerfauth. 2015. Evaluating a Dynamic Time
Warping Based Scoring Algorithm for Facial Expressions in ASL Animations.
Proceedings of the 6th Workshop on Speech and Language Processing for Assistive
Technologies (SLPAT), INTERSPEECH 2015, Dresden, Germany.
[Available on the ACL Anthology]
Sarah Ebling, Matt Huenerfauth. 2015. Bridging the gap between sign
language machine translation and sign language animation using sequence
classification. Proceedings of the 6th Workshop on Speech and Language Processing
for Assistive Technologies (SLPAT), INTERSPEECH 2015, Dresden, Germany.
[Available on the ACL Anthology]
Matt Huenerfauth, Hernisa Kacorri. 2015. Best Practices for Conducting Evaluations
of Sign Language Animation. Journal on Technology and Persons with Disabilities,
Volume 3, September 2015, California State University, Northridge.
[Available Online Open-Access]
Other Works
Matt Huenerfauth, Elaine Gale, Brian Penly, Mackenzie Willard, Dhananjai Hariharan.
2015. Designing Tools to Facilitate Students Learning American Sign Language.
Effective Access Technologies Conference, Rochester, New York, USA. November
10, 2015. Poster Presentation.
Finalist for Best Poster Award 2015
[Available on Scholarworks]
Hernisa Kacorri, Matt Huenerfauth, Sarah Ebling, Kasmira Patel, Mackenzie Willard,
Kellie Menzies. 2015. Measuring Participant Characteristics that Relate to Sign
Language Technology Acceptance. Effective Access Technologies Conference,
Rochester, New York, USA. November 10, 2015. Poster Presentation.
[Available on Scholarworks]
Matt Huenerfauth, Hernisa Kacorri. 2015. Augmenting EMBR Virtual Human Animation
System with MPEG-4 Controls for Producing ASL Facial Expressions. The Fifth
International Workshop on Sign Language Translation and Avatar Technology (SLTAT),
Paris, France, April 9-10, 2015.
[Official PDF]
2014
Journal Articles
Pengfei Lu, Matt Huenerfauth. 2014. Collecting and Evaluating the CUNY ASL
Corpus for Research on American Sign Language Animation. Computer Speech & Language.
Volume 28, Issue 3, May 2014, Pages 812–831. Elsevier. doi:10.1016/j.csl.2013.10.004
[Available from Science Direct]
[Unofficial Preprint PDF]
Book Chapters
Hernisa Kacorri, Allen Harper, Matt Huenerfauth. 2014. Measuring the Perception
of Facial Expressions in American Sign Language Animations with Eye Tracking.
Universal Access in Human-Computer Interaction. Lecture Notes in Computer
Science, Volume 8516, pp. 549-559. Switzerland: Springer International Publishing.
[Available from Springer]
[Unofficial Preprint PDF]
Conference Proceedings
Hernisa Kacorri, Matt Huenerfauth. 2014. Implementation and evaluation of
animation controls sufficient for conveying ASL facial expressions. In Proceedings
of The 16th International ACM SIGACCESS Conference on Computers and Accessibility
(ASSETS'14). Rochester, New York, USA. New York: ACM Press.
[Available on the ACM Digital Library]
Matt Huenerfauth. 2014. Learning to Generate Understandable
Animations of American Sign Language. In Proceedings of the 2nd Annual
Effective Access Technologies Conference, Rochester, NY, USA, June 2014.
Rochester Institute of Technology.
[Available from ScholarWorks]
[Official PDF]
Matt Huenerfauth, Hernisa Kacorri. 2014. Release of Experimental Stimuli and
Questions for Evaluating Facial Expressions in Animations of American Sign Language.
Proceedings of the 6th Workshop on the Representation and Processing of Sign
Languages: Beyond the Manual Channel, The 9th International Conference on Language
Resources and Evaluation (LREC 2014), Reykjavik, Iceland.
[Unofficial Preprint PDF]
[Available from Workshop Website]
2013
Hernisa Kacorri, Pengfei Lu, Matt Huenerfauth. 2013.
Effect of Displaying Human Videos During an Evaluation
Study of American Sign Language Animation. ACM Transactions on
Accessible Computing. Volume 5, Issue 2, Article 4 (October 2013),
31 pages. DOI=10.1145/2517038
[Available on ACM Digital Library.]
[Unofficial Preprint PDF.]
Hernisa Kacorri, Allen Harper, Matt Huenerfauth. 2013.
Comparing Native Signers Perception of American Sign Language
Animations and Videos via Eye Tracking. In Proceedings of the
15th International ACM SIGACCESS Conference on Computers and
Accessibility (ASSETS '13). ACM, New York, NY, USA, Article 9,
8 pages. DOI=10.1145/2513383.2513441
[Available on ACM Digital Library.]
[Unofficial Preprint PDF.]
Hernisa Kacorri, Pengfei Lu, Matt Huenerfauth. 2013. Evaluating Facial Expressions in
American Sign Language Animations for Accessible Online Information. Universal Access
in Human-Computer Interaction. Design Methods, Tools, and Interaction Techniques for
eInclusion, Lecture Notes in Computer Science Volume 8009, 2013, pp 510-519.
[Available on Springerlink]
[Unofficial Preprint PDF.]
2012
Matt Huenerfauth, Pengfei Lu. 2012. Effect of Spatial Reference and
Verb Infection on the Usability of American Sign Language Animations. Universal
Access in the Information Society: Volume 11, Issue 2 (June 2012), pages 169-184.
doi: 10.1007/s10209-011-0247-7.
[Unofficial Preprint PDF.]
[Available on Springerlink.]
Pengfei Lu, Matt Huenerfauth. 2012. Learning a Vector-Based Model of American Sign
Language Inflecting Verbs from Motion-Capture Data. Proceedings of the Third Workshop on
Speech and Language Processing for Assistive Technologies (SLPAT), The 2012 Conference of the
North American Chapter of the Association for Computational Linguistics: Human Language
Technologies (NAACL-HLT 2012), Montreal, Quebec, Canada. East Stroudsburg, PA: Association
for Computational Linguistics.
[Available on the ACL Anthology]
[Unofficial Preprint PDF.]
Pengfei Lu, Matt Huenerfauth. 2012. CUNY American Sign Language Motion-Capture
Corpus: First Release. Proceedings of the 5th Workshop on the Representation and
Processing of Sign Languages: Interactions between Corpus and Lexicon, The 8th
International Conference on Language Resources and Evaluation (LREC 2012), Istanbul,
Turkey.
[Adobe Acrobat PDF.]
2011
Pengfei Lu, Matt Huenerfauth. 2011. Synthesizing American Sign Language Spatially Inflected Verbs from
Motion-Capture Data. The Second International Workshop on Sign Language Translation and Avatar
Technology (SLTAT), The 13th International ACM SIGACCESS Conference on Computers and Accessibility
(ASSETS 2011), Dundee, Scotland, United Kingdom.
[Adobe Acrobat PDF.]
Matt Huenerfauth, Pengfei Lu and Andrew Rosenberg. 2011. Evaluating Importance
of Facial Expression in American Sign Language and Pidgin Signed English Animations.
The 13th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS
2011), Dundee, Scotland, United Kingdom. New York: ACM Press.
[Please use download link on the LATLab website to access this paper.]
Pengfei Lu, Matt Huenerfauth. 2011. Collecting an American Sign Language Corpus through
the Participation of Native Signers. Universal Access in Human-Computer Interaction.
Applications and Services Lecture Notes in Computer Science Volume 6768, 2011, pp 81-90.
[Available on Springerlink.]
[Unofficial Preprint PDF.]
Pengfei Lu, Matt Huenerfauth. 2011. Data-Driven Synthesis of Spatially
Inflected Verbs for American Sign Language Animation. ACM Transactions on Accessible
Computing. Volume 4 Issue 1, November 2011. New York: ACM Press. 29 pages.
[Please use download link on the LATLab website to access this paper.]
2010
Martin Jansche, Lijun Feng, Matt Huenerfauth. 2010. Reading Difficulty in Adults with Intellectual Disabilities: Analysis with a Hierarchical Latent Trait Model. The 12th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2010), Poster Session, Orlando, Florida, USA. New York: ACM Press, pp. 277-278.[Please use download link on the LATLab website to access this paper.]
Matt Huenerfauth, Pengfei Lu. 2010. Modeling and Synthesizing
Spatially Inflected Verbs for American Sign Language Animations. In Proceedings
of The 12th International ACM SIGACCESS Conference on Computers and Accessibility
(ASSETS 2010), Orlando, Florida, USA. New York: ACM Press.
[Please use download link on the LATLab website to access this paper.]
Lijun Feng, Martin Jansche, Matt Huenerfauth, Noémie Elhadad. 2010. A Comparison of
Features for Automatic Readability Assessment. In Proceedings of The 23rd International
Conference on Computational Linguistics (COLING 2010), Beijing, China.
[Available on ACM Digital Library]
[Also on: ACL Anthology.]
Matt Huenerfauth, Pengfei Lu. 2010. Accurate and Accessible Motion-Capture Glove
Calibration for Sign Language Data Collection. ACM Transactions on Accessible Computing,
Volume 3, Number 1, Article 2. New York: ACM Press. 32 pages.
[Please use download link on the LATLab website to access this paper.]
Matt Huenerfauth. 2010. Participation of High School and Undergraduate
Students who are Deaf in Research on American Sign Language Animation. ACM
SIGACCESS Accessibility and Computing newsletter. New York: ACM Press.
Issue 97 (June 2010).
[Please use download link on the LATLab website to access this paper.]
Pengfei Lu, Matt Huenerfauth. 2010. Collecting a
Motion-Capture Corpus of American Sign Language for Data-Driven Generation Research,
Proceedings of the First Workshop on Speech and Language Processing for Assistive
Technologies (SLPAT), Human Language Technologies: The 11th Annual Conference of the
North American Chapter of the Association for Computational Linguistics (HLT-NAACL 2010),
Los Angeles, CA, USA. East Stroudsburg, PA: Association for Computational Linguistics.
[Available on ACM Digital Library]
[Also on: ACL Anthology.]
Matt Huenerfauth, Pengfei Lu. 2010. Eliciting Spatial Reference for
a Motion-Capture Corpus of American Sign Language Discourse, Proceedings
of the Fourth Workshop on the Representation and Processing of Signed
Languages: Corpora and Sign Language Technologies, The 7th International
Conference on Language Resources and Evaluation (LREC 2010), Valetta, Malta.
[Adobe Acrobat PDF]
Matt Huenerfauth. 2010. Representing American Sign Language Classifier Predicates Using
Spatially Parameterized Planning Templates. In M.T. Banich and D. Caccamise (eds),
Generalization of Knowledge: Multidisciplinary Perspectives.
New York: Psychology Press.
[Available from Psychology Press.]
[Available on Amazon.]
[Available on iBooks.]
2009
Matt Huenerfauth, Lijun Feng, Noemie Elhadad. 2009.
Comparing Evaluation Techniques for Text Readability Software for
Adults with Intellectual Disabilities. In Proceedings of the 11th International ACM
SIGACCESS Conference on Computers and Accessibility (ASSETS 2009),
Pittsburgh, Pennsylvania, USA.
[Please use download link on the LATLab website to access this paper.]
Pengfei Lu, Matt Huenerfauth. 2009. Accessible
Motion-Capture Glove Calibration Protocol for Recording Sign
Language Data from Deaf Subjects. In Proceedings of the 11th International ACM
SIGACCESS Conference on Computers and Accessibility (ASSETS 2009),
Pittsburgh, Pennsylvania, USA.
[Please use download link on the LATLab website to access this paper.]
Matt Huenerfauth. 2009. Improving Spatial Reference in
American Sign Language Animation through Data Collection from Native ASL Signers. International
Conference on Universal Access in Human-Computer Interaction (UAHCI). San Diego, CA. July 2009.
In C. Stephanidis (Ed.), Universal Access in HCI, Part III, HCII 2009, LNCS 5616,
pp. 530–539, 2009. Berlin/Heidelberg: Springer-Verlag.
[Available via Springerlink.]
[Adobe Acrobat PDF]
Matt Huenerfauth. 2009. A Linguistically Motivated Model
for Speed and Pausing in Animations of American Sign Language. ACM
Transactions on Accessible Computing (journal). Volume 2, Number 2, Article 9.
[Please use download link on the LATLab website to access this paper.]
Lijun Feng, Noemie Elhadad, Matt Huenerfauth. 2009. Cognitively
Motivated Features for Readability Assessment, Proceedings of the 12th Conference
of the European Chapter of the Association for Computational Linguistics
(EACL 2009), Athens, Greece.
[Available on ACM Digital Library]
[Also on: ACL Anthology.]
Matt Huenerfauth and Vicki L. Hanson. 2009. Sign Language
in the Interface: Access for Deaf Signers. To appear in C. Stephanidis (Ed.), The
Universal Access Handbook. Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
[Adobe Acrobat PDF]
[Available from CRC Press.]
[CRCnetBase.]
[Amazon.]
2008
Matt Huenerfauth. 2008. "Evaluation of a Psycholinguistically Motivated
Timing Model for Animations of American Sign Language." The 10th
International ACM SIGACCESS Conference on Computers and Accessibility
(ASSETS 2008), Halifax, Nova Scotia, Canada.
[Please use download link on the LATLab website to access this paper.]
Matt Huenerfauth. 2008. "Spatial, Temporal,
and Semantic Models for American Sign Language Generation: Implications for
Gesture Generation." International Journal of Semantic Computing. Volume 2, Number 1.
[Available on WorldScientific]
[Journal homepage.]
Matt Huenerfauth, Liming Zhou, Erdan Gu and Jan Allbeck. 2008.
"Evaluation of American Sign Language Generation by Native ASL Signers."
ACM Transactions on Accessible Computing (journal). Volume 1, Number 1, Article 3.
[Please use download link on the LATLab website to access this paper.]
Matt Huenerfauth. 2008. Generating American Sign Language Animation:
Overcoming Misconceptions and Technical Challenges. Universal Access in the Information Society (journal), Volume 6, Number 4.
[Available on Springerlink.]
2007
Matt Huenerfauth, Liming Zhou, Erdan Gu and Jan Allbeck. 2007. Evaluating
American Sign Language Generation Through the Participation of Native ASL Signers.
Ninth International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS-2007.
Tempe, Arizona, USA. October 2007.
Conference Award: ACM SIGACCESS Best Technical Paper Award, 2007.
[Please use download link on the LATLab website to access this paper.]
Matt Huenerfauth, Liming Zhou, Erdan Gu and Jan Allbeck. 2007. Design and
Evaluation of an American Sign Language Generator. 45th Annual Meeting of
the Association for Computational Linguistics. Workshop on Embodied Language
Processing. Prague, Czech Republic. June 2007.
[Available on ACM Digital Library]
[Also: ACL Anthology.]
2006
Matt Huenerfauth. 2006. Representing Coordination and Non-Coordination
in American Sign Language Animations. Behaviour & Information Technology (journal),
Volume 25, Issue 4, Pages 285-295.
[Available from Taylor & Francis]
Matt Huenerfauth. 2006. Generating American Sign Language Classifier
Predicates For English-To-ASL Machine Translation. Doctoral Dissertation,
Computer and Information Science, University of Pennsylvania.
[Adobe Acrobat PDF]
2005
Matt Huenerfauth. 2005. Representing Coordination and Non-Coordination
in an American Sign Language Animation. The 7th International ACM
SIGACCESS Conference on Computers and Accessibility (ASSETS 2005),
Baltimore, MD, USA.
Conference Award: ACM SIGACCESS Best Technical Paper Award, 2005.
[Please use download link on the LATLab website to access this paper.]
Matt Huenerfauth. 2005. American Sign Language Spatial Representations
for an Accessible User-Interface. 3rd International Conference on
Universal Access in Human-Computer Interaction. Las Vegas, NV, USA.
[Adobe
Acrobat PDF]
Matt Huenerfauth. 2005. American Sign Language Generation: Multimodal
NLG with Multiple Linguistic Channels. Student Research Workshop, The 43rd
Annual Meeting of the Association for Computational Linguistics. Ann
Arbor, MI, USA.
[Available on ACM Digital Library]
[Also: ACL Anthology]
Matt Huenerfauth. 2005. American Sign Language Natural Language
Generation and Machine Translation. ACM SIGACCESS Accessibility and
Computing. New York: ACM Press. Issue 81 (January 2005).
[Please use download link on the LATLab website to access this paper.]
2004
Matt Huenerfauth. 2004. Spatial and Planning Models of ASL Classifier
Predicates for Machine Translation. The 10th International Conference on
Theoretical and Methodological Issues in Machine Translation (TMI 2004).
Baltimore, MD, USA.
[Adobe
Acrobat PDF]
Matt Huenerfauth. 2004. American Sign Language Natural Language
Generation and Machine Translation. The 6th International ACM SIGACCESS
Conference on Computers and Accessibility (ASSETS 2004), Doctoral
Consortium Presentation and Poster Session. Atlanta, Georgia, USA.
Conference Award: Best Doctoral Candidate, Delivered Closing Plenary
Address
Abstract: [Adobe Acrobat PDF]
Matt Huenerfauth. 2004. Spatial Representation of Classifier Predicates
for Machine Translation into American Sign Language. Workshop on the
Representation and Processing of Signed Languages, 4th International
Conference on Language Resources and Evaluation (LREC 2004), Lisbon,
Portugal.
[Adobe
Acrobat PDF]
Matt Huenerfauth. 2004. A Multi-Path Architecture for Machine
Translation of English Text into American Sign Language Animation. In the
proceedings of the Student Workshop at the Human Language Technology
conference / North American chapter of the Association for Computational
Linguistics annual meeting (HLT-NAACL 2004), Boston, MA, USA.
[Available on ACM Digital Library]
[Also: ACL Anthology]
2003
Matt Huenerfauth. 2003. A Survey and Critique of American Sign Language
Natural Language Generation and Machine Translation Systems. Technical
Report MS-CIS-03-32, Computer and Information Science, University of
Pennsylvania.
[Adobe
Acrobat PDF]
2002
Matt Huenerfauth. 2002. Design Approaches for Developing
User-Interfaces Accessible to Illiterate Users. Intelligent and
Situation-Aware Media and Presentations Workshop. American Association of
Artificial Intelligence (AAAI2002) Conference, Edmonton, Alberta, Canada.
[Adobe Acrobat PDF]
Matt Huenerfauth. 2002. Developing Design Recommendations for Computer
Interfaces Accessible to Illiterate Users. Thesis. Master of Science (MSc).
Department of Computer Science. National University of Ireland: University
College Dublin. (Páipéar. Máistir Eolaíochta (MSc). Roinn na
Ríomheolaíochta. Ollscoile na hÉireann: An Coláiste Ollscoile, Baile Átha
Cliath.)
[Adobe Acrobat PDF]
2001
Matt Huenerfauth. 2001. Development of PeTaLS: Personality Tagged Logical Statistical Generator. Thesis. Master of Science (MS). Computer and Information Sciences. University of Delaware.