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Matt Huenerfauth

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affiliation: Rochester Institute of Technology, NY, USA
affiliation (2006 - 2014): City University of New York, Queens College, Flushing, NY, USA
affiliation (PhD 2006): University of Pennsylvania, Philadelphia, PA, USA

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2020 – today

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2024
[j30]
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Elahe Vahdani, Longlong Jing, Matt Huenerfauth, Yingli Tian:
Multi-Modal Multi-Channel American Sign Language Recognition. Int. J. Artif. Intell. Robotics Res. 1(1): 2450001:1-2450001:25 (2024)
2023
[c83]
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Caluã de Lacerda Pataca, Matthew Watkins, Roshan L. Peiris, Sooyeon Lee, Matt Huenerfauth:
Visualization of Speech Prosody and Emotion in Captions: Accessibility for Deaf and Hard-of-Hearing Users. CHI 2023: 831:1-831:15
[c82]
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Akhter Al Amin, Joseph Mendis, Raja S. Kushalnagar, Christian Vogler, Matt Huenerfauth:
Who is speaking: Unpacking In-text Speaker Identification Preference of Viewers who are Deaf and Hard of Hearing while Watching Live Captioned Television Program. W4A 2023: 44-53
[c81]
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Akhter Al Amin, Saad Hassan, Sooyeon Lee, Matt Huenerfauth:
Understanding How Deaf and Hard of Hearing Viewers Visually Explore Captioned Live TV News. W4A 2023: 54-65
[c80]
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Akhter Al Amin, Saad Hassan, Matt Huenerfauth, Cecilia Ovesdotter Alm:
Modeling Word Importance in Conversational Transcripts: Toward improved live captioning for Deaf and hard of hearing viewers. W4A 2023: 79-83
2022
[j29]
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Oliver Alonzo, Lisa B. Elliot, Becca Dingman, Sooyeon Lee, Akhter Al Amin, Matt Huenerfauth:
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 Trans. Access. Comput. 15(2): 16:1-16:31 (2022)
[c79]
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Saad Hassan, Akhter Al Amin, Caluã de Lacerda Pataca, Diego Navarro, Alexis Gordon, Sooyeon Lee, Matt Huenerfauth:
Support in the Moment: Benefits and use of video-span selection and search for sign-language video comprehension among ASL learners. ASSETS 2022: 29:1-29:14
[c78]
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Saad Hassan, Sooyeon Lee, Dimitris N. Metaxas, Carol Neidle, Matt Huenerfauth:
Understanding ASL Learners' Preferences for a Sign Language Recording and Automatic Feedback System to Support Self-Study. ASSETS 2022: 85:1-85:5
[c77]
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Saad Hassan, Akhter Al Amin, Alexis Gordon, Sooyeon Lee, Matt Huenerfauth:
Design and Evaluation of Hybrid Search for American Sign Language to English Dictionaries: Making the Most of Imperfect Sign Recognition. CHI 2022: 195:1-195:13
[c76]
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Oliver Alonzo, Jessica Trussell, Matthew Watkins, Sooyeon Lee, Matt Huenerfauth:
Methods for Evaluating the Fluency of Automatically Simplified Texts with Deaf and Hard-of-Hearing Adults at Various Literacy Levels. CHI 2022: 267:1-267:10
[c75]
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Abraham Glasser, Matthew Watkins, Kira Hart, Sooyeon Lee, Matt Huenerfauth:
Analyzing Deaf and Hard-of-Hearing Users' Behavior, Usage, and Interaction with a Personal Assistant Device that Understands Sign-Language Input. CHI 2022: 306:1-306:12
[c74]
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Akhter Al Amin, Saad Hassan, Sooyeon Lee, Matt Huenerfauth:
Watch It, Don't Imagine It: Creating a Better Caption-Occlusion Metric by Collecting More Ecologically Valid Judgments from DHH Viewers. CHI 2022: 459:1-459:14
[c73]
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Matthew Seita, Sooyeon Lee, Sarah Andrew, Kristen Shinohara, Matt Huenerfauth:
Remotely Co-Designing Features for Communication Applications using Automatic Captioning with Deaf and Hearing Pairs. CHI 2022: 460:1-460:13
[c72]
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Akher Al Amin, Joseph Mendis, Raja S. Kushalnagar, Christian Vogler, Sooyeon Lee, Matt Huenerfauth:
Deaf and Hard of Hearing Viewers' Preference for Speaker Identifier Type in Live TV Programming. HCI (7) 2022: 200-211
[c71]
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Akhter Al Amin, Saad Hassan, Cecilia O. Alm, Matt Huenerfauth:
Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing Users. LT-EDI 2022: 35-40
[i10]
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  - journals/corr/abs-2206-12368
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Akhter Al Amin, Saad Hassan, Cecilia O. Alm, Matt Huenerfauth:
Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing Users. CoRR abs/2206.12368 (2022)
[i9]
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Saad Hassan, Matthew Seita, Larwan Berke, Yingli Tian, Elaine Gale, Sooyeon Lee, Matt Huenerfauth:
ASL-Homework-RGBD Dataset: An annotated dataset of 45 fluent and non-fluent signers performing American Sign Language homeworks. CoRR abs/2207.04021 (2022)
2021
[j28]
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Danielle Bragg, Naomi Caselli, Julie A. Hochgesang, Matt Huenerfauth, Leah Katz-Hernandez, Oscar Koller, Raja S. Kushalnagar, Christian Vogler, Richard E. Ladner:
The FATE Landscape of Sign Language AI Datasets: An Interdisciplinary Perspective. ACM Trans. Access. Comput. 14(2): 7:1-7:45 (2021)
[j27]
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Saad Hassan, Oliver Alonzo, Abraham Glasser, Matt Huenerfauth:
Effect of Sign-recognition Performance on the Usability of Sign-language Dictionary Search. ACM Trans. Access. Comput. 14(4): 18:1-18:33 (2021)
[j26]
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Sushant Kafle, Becca Dingman, Matt Huenerfauth:
Deaf and Hard-of-hearing Users Evaluating Designs for Highlighting Key Words in Educational Lecture Videos. ACM Trans. Access. Comput. 14(4): 20:1-20:24 (2021)
[c70]
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Sooyeon Lee, Abraham Glasser, Becca Dingman, Zhaoyang Xia, Dimitris N. Metaxas, Carol Neidle, Matt Huenerfauth:
American Sign Language Video Anonymization to Support Online Participation of Deaf and Hard of Hearing Users. ASSETS 2021: 22:1-22:13
[c69]
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Sedeeq Al-khazraji, Becca Dingman, Sooyeon Lee, Matt Huenerfauth:
At a Different Pace: Evaluating Whether Users Prefer Timing Parameters in American Sign Language Animations to Differ from Human Signers' Timing. ASSETS 2021: 40:1-40:12
[c68]
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Oliver Alonzo, Jessica Trussell, Becca Dingman, Matt Huenerfauth:
Comparison of Methods for Evaluating Complexity of Simplified Texts among Deaf and Hard-of-Hearing Adults at Different Literacy Levels. CHI 2021: 279:1-279:12
[c67]
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Vaishnavi Mande, Abraham Glasser, Becca Dingman, Matt Huenerfauth:
Deaf Users' Preferences Among Wake-Up Approaches during Sign-Language Interaction with Personal Assistant Devices. CHI Extended Abstracts 2021: 370:1-370:6
[c66]
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Saad Hassan, Matt Huenerfauth, Cecilia Ovesdotter Alm:
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens. EMNLP (Findings) 2021: 3116-3123
[c65]
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Akhter Al Amin, Abraham Glasser, Raja S. Kushalnagar, Christian Vogler, Matt Huenerfauth:
Preferences of Deaf or Hard of Hearing Users for Live-TV Caption Appearance. HCI (8) 2021: 189-201
[c64]
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Akhter Al Amin, Saad Hassan, Matt Huenerfauth:
Effect of Occlusion on Deaf and Hard of Hearing Users' Perception of Captioned Video Quality. HCI (8) 2021: 202-220
[c63]
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Matt Huenerfauth:
Human-Computer Interaction and Automatic Text Simplification: Understanding the Perspective of Deaf and Hard of Hearing Users (abstract). CTTS@SEPLN 2021
[c62]
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Abraham Glasser, Vaishnavi Mande, Matt Huenerfauth:
Understanding deaf and hard-of-hearing users' interest in sign-language interaction with personal-assistant devices. W4A 2021: 24:1-24:11
[c61]
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Matthew Seita, Sarah Andrew, Matt Huenerfauth:
Deaf and hard-of-hearing users' preferences for hearing speakers' behavior during technology-mediated in-person and remote conversations. W4A 2021: 25:1-25:12
[c60]
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Akhter Al Amin, Saad Hassan, Matt Huenerfauth:
Caption-occlusion severity judgments across live-television genres from deaf and hard-of-hearing viewers. W4A 2021: 26:1-26:12
[i8]
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  - journals/corr/abs-2110-00521
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Saad Hassan, Matt Huenerfauth, Cecilia Ovesdotter Alm:
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens. CoRR abs/2110.00521 (2021)
2020
[j25]
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Paula Conn, Taylor Gotfrid, Qiwen Zhao, Rachel Celestine, Vaishnavi Mande, Kristen Shinohara, Stephanie Ludi, Matt Huenerfauth:
Understanding the Motivations of Final-year Computing Undergraduates for Considering Accessibility. ACM Trans. Comput. Educ. 20(2): 15:1-15:22 (2020)
[j24]
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Sushant Kafle, Matt Huenerfauth:
Usability evaluation of captions for people who are deaf or hard of hearing. ACM SIGACCESS Access. Comput. 122: 1 (2020)
[j23]
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Sushant Kafle, Abraham Glasser, Sedeeq Al-khazraji, Larwan Berke, Matthew Seita, Matt Huenerfauth:
Artificial intelligence fairness in the context of accessibility research on intelligent systems for people who are deaf or hard of hearing. ACM SIGACCESS Access. Comput. 125: 4 (2020)
[c59]
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Qiwen Zhao, Vaishnavi Mande, Paula Conn, Sedeeq Al-khazraji, Kristen Shinohara, Stephanie Ludi, Matt Huenerfauth:
Comparison of Methods for Teaching Accessibility in University Computing Courses. ASSETS 2020: 6:1-6:12
[c58]
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Oliver Alonzo, Lisa B. Elliot, Becca Dingman, Matt Huenerfauth:
Reading Experiences and Interest in Reading-Assistance Tools Among Deaf and Hard-of-Hearing Computing Professionals. ASSETS 2020: 45:1-45:13
[c57]
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Sedeeq Al-khazraji, Becca Dingman, Matt Huenerfauth:
Empirical Investigation of Users' Preferred Timing Parameters for American Sign Language Animations. CHI Extended Abstracts 2020: 1-7
[c56]
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Oliver Alonzo, Matthew Seita, Abraham Glasser, Matt Huenerfauth:
Automatic Text Simplification Tools for Deaf and Hard of Hearing Adults: Benefits of Lexical Simplification and Providing Users with Autonomy. CHI 2020: 1-13
[c55]
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Danielle Bragg, Meredith Ringel Morris, Christian Vogler, Raja S. Kushalnagar, Matt Huenerfauth, Hernisa Kacorri:
Sign Language Interfaces: Discussing the Field's Biggest Challenges. CHI Extended Abstracts 2020: 1-5
[c54]
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Matthew Seita, Matt Huenerfauth:
Deaf Individuals' Views on Speaking Behaviors of Hearing Peers when Using an Automatic Captioning App. CHI Extended Abstracts 2020: 1-8
[c53]
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Abraham Glasser, Vaishnavi Mande, Matt Huenerfauth:
Accessibility for Deaf and Hard of Hearing Users: Sign Language Conversational User Interfaces. CIU 2020: 55:1-55:3
[c52]
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Peter Yeung, Oliver Alonzo, Matt Huenerfauth:
Interest and Requirements for Sound-Awareness Technologies Among Deaf and Hard-of-Hearing Users of Assistive Listening Devices. HCI (9) 2020: 147-158
[c51]
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Elahe Vahdani, Longlong Jing, Yingli Tian, Matt Huenerfauth:
Recognizing American Sign Language Nonmanual Signal Grammar Errors in Continuous Videos. ICPR 2020: 6043-6050
[c50]
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Larwan Berke, Matthew Seita, Matt Huenerfauth:
Deaf and hard-of-hearing users' prioritization of genres of online video content requiring accurate captions. W4A 2020: 3:1-3:12
[i7]
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  - journals/corr/abs-2005-00253
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Elahe Vahdani, Longlong Jing, Yingli Tian, Matt Huenerfauth:
Recognizing American Sign Language Nonmanual Signal Grammar Errors in Continuous Videos. CoRR abs/2005.00253 (2020)

2010 – 2019

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2019
[j22]
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Larwan Berke, Matt Huenerfauth, Kasmira Patel:
Design and Psychometric Evaluation of American Sign Language Translations of Usability Questionnaires. ACM Trans. Access. Comput. 12(2): 6:1-6:43 (2019)
[j21]
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Sushant Kafle, Matt Huenerfauth:
Predicting the Understandability of Imperfect English Captions for People Who Are Deaf or Hard of Hearing. ACM Trans. Access. Comput. 12(2): 7:1-7:32 (2019)
[j20]
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Matt Huenerfauth, Kathleen F. McCoy:
Editorial: A Message from the Outgoing Editors-in-Chief. ACM Trans. Access. Comput. 12(3): 10:1-10:2 (2019)
[c49]
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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:
Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective. ASSETS 2019: 16-31
[c48]
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Sushant Kafle, Peter Yeung, Matt Huenerfauth:
Evaluating the Benefit of Highlighting Key Words in Captions for People who are Deaf or Hard of Hearing. ASSETS 2019: 43-55
[c47]
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Oliver Alonzo, Abraham Glasser, Matt Huenerfauth:
Effect of Automatic Sign Recognition Performance on the Usability of Video-Based Search Interfaces for Sign Language Dictionaries. ASSETS 2019: 56-67
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Larwan Berke, Khaled Albusays, Matthew Seita, Matt Huenerfauth:
Preferred Appearance of Captions Generated by Automatic Speech Recognition for Deaf and Hard-of-Hearing Viewers. CHI Extended Abstracts 2019
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Abhishek Kannekanti, Sedeeq Al-khazraji, Matt Huenerfauth:
Design and Evaluation of a User-Interface for Authoring Sentences of American Sign Language Animation. HCI (7) 2019: 258-267
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Utsav Shah, Matthew Seita, Matt Huenerfauth:
Evaluation of User-Interface Designs for Educational Feedback Software for ASL Students. HCI (7) 2019: 507-525
[c43]
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Sushant Kafle, Cecilia Ovesdotter Alm, Matt Huenerfauth:
Fusion Strategy for Prosodic and Lexical Representations of Word Importance. INTERSPEECH 2019: 1313-1317
[c42]
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Sushant Kafle, Cissi Ovesdotter Alm, Matt Huenerfauth:
Modeling Acoustic-Prosodic Cues for Word Importance Prediction in Spoken Dialogues. SLPAT@NAACL-HLT 2019: 9-16
[i6]
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Sushant Kafle, Cecilia O. Alm, Matt Huenerfauth:
Modeling Acoustic-Prosodic Cues for Word Importance Prediction in Spoken Dialogues. CoRR abs/1903.12238 (2019)
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Longlong Jing, Elahe Vahdani, Matt Huenerfauth, Yingli Tian:
Recognizing American Sign Language Manual Signs from RGB-D Videos. CoRR abs/1906.02851 (2019)
[i4]
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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:
Sign Language Recognition, Generation, and Translation: An Interdisciplinary Perspective. CoRR abs/1908.08597 (2019)
[i3]
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Sushant Kafle, Abraham Glasser, Sedeeq Al-khazraji, Larwan Berke, Matthew Seita, Matt Huenerfauth:
Artificial Intelligence Fairness in the Context of Accessibility Research on Intelligent Systems for People who are Deaf or Hard of Hearing. CoRR abs/1908.10414 (2019)
2018
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Matt Huenerfauth, Kathleen F. McCoy:
Introduction to the ASSETS'16 Special Issue. ACM Trans. Access. Comput. 11(1): 1:1 (2018)
[j18]
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Matt Huenerfauth, Kathleen F. McCoy:
Introduction to this Issue. ACM Trans. Access. Comput. 11(2): 7:1 (2018)
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Matt Huenerfauth, Kathleen F. McCoy:
Introduction to the Special Issue on Fabrication Technologies and Do-It-Yourself Accessibility. ACM Trans. Access. Comput. 11(3): 12:1 (2018)
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Matthew Seita, Khaled Albusays, Sushant Kafle, Michael Stinson, Matt Huenerfauth:
Behavioral Changes in Speakers who are Automatically Captioned in Meetings with Deaf or Hard-of-Hearing Peers. ASSETS 2018: 68-80
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Sedeeq Al-khazraji, Larwan Berke, Sushant Kafle, Peter Yeung, Matt Huenerfauth:
Modeling the Speed and Timing of American Sign Language to Generate Realistic Animations. ASSETS 2018: 259-270
[c39]
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Larwan Berke, Sushant Kafle, Matt Huenerfauth:
Methods for Evaluation of Imperfect Captioning Tools by Deaf or Hard-of-Hearing Users at Different Reading Literacy Levels. CHI 2018: 91
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Yuancheng Ye, Yingli Tian, Matt Huenerfauth, Jingya Liu:
Recognizing American Sign Language Gestures From Within Continuous Videos. CVPR Workshops 2018: 2064-2073
[c37]
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Dhananjai Hariharan, Sedeeq Al-khazraji, Matt Huenerfauth:
Evaluation of an English Word Look-Up Tool for Web-Browsing with Sign Language Video for Deaf Readers. HCI (7) 2018: 205-215
[c36]
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Sushant Kafle, Matt Huenerfauth:
A Corpus for Modeling Word Importance in Spoken Dialogue Transcripts. LREC 2018
[c35]
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Stephanie Ludi, Matt Huenerfauth, Vicki L. Hanson, Nidhi Rajendra Palan, Paula Garcia:
Teaching Inclusive Thinking to Undergraduate Students in Computing Programs. SIGCSE 2018: 717-722
[i2]
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Sushant Kafle, Matt Huenerfauth:
A Corpus for Modeling Word Importance in Spoken Dialogue Transcripts. CoRR abs/1801.09746 (2018)
2017
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Jinjuan Heidi Feng, Matt Huenerfauth:
Overview of the ASSETS 2016 conference. ACM SIGACCESS Access. Comput. 117: 3-8 (2017)
[j15]
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Matt Huenerfauth, Elaine Gale, Brian Penly, Sree Pillutla, Mackenzie Willard, Dhananjai Hariharan:
Evaluation of Language Feedback Methods for Student Videos of American Sign Language. ACM Trans. Access. Comput. 10(1): 2:1-2:30 (2017)
[j14]
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Hernisa Kacorri, Matt Huenerfauth, Sarah Ebling, Kasmira Patel, Kellie Menzies, Mackenzie Willard:
Regression Analysis of Demographic and Technology-Experience Factors Influencing Acceptance of Sign Language Animation. ACM Trans. Access. Comput. 10(1): 3:1-3:33 (2017)
[c34]
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Khaled Albusays, Stephanie Ludi, Matt Huenerfauth:
Interviews and Observation of Blind Software Developers at Work to Understand Code Navigation Challenges. ASSETS 2017: 91-100
[c33]
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Larwan Berke, Christopher Caulfield, Matt Huenerfauth:
Deaf and Hard-of-Hearing Perspectives on Imperfect Automatic Speech Recognition for Captioning One-on-One Meetings. ASSETS 2017: 155-164
[c32]
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Sushant Kafle, Matt Huenerfauth:
Evaluating the Usability of Automatically Generated Captions for People who are Deaf or Hard of Hearing. ASSETS 2017: 165-174
[c31]
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Matt Huenerfauth, Kasmira Patel, Larwan Berke:
Design and Psychometric Evaluation of an American Sign Language Translation of the System Usability Scale. ASSETS 2017: 175-184
[c30]
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Nidhi Rajendra Palan, Vicki L. Hanson, Matt Huenerfauth, Stephanie Ludi:
Teaching Inclusive Thinking in Undergraduate Computing. ASSETS 2017: 399-400
[i1]
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  - journals/corr/abs-1712-02033
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Sushant Kafle, Matt Huenerfauth:
Evaluating the Usability of Automatically Generated Captions for People who are Deaf or Hard of Hearing. CoRR abs/1712.02033 (2017)
2016
[c29]
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Hernisa Kacorri, Matt Huenerfauth:
Continuous Profile Models in ASL Syntactic Facial Expression Synthesis. ACL (1) 2016
[c28]
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Lisa B. Elliot, Michael Stinson, James R. Mallory, Donna Easton, Matt Huenerfauth:
Deaf and Hard of Hearing Individuals' Perceptions of Communication with Hearing Colleagues in Small Groups. ASSETS 2016: 271-272
[c27]
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Chenyang Zhang, Yingli Tian, Matt Huenerfauth:
Multi-modality American Sign Language recognition. ICIP 2016: 2881-2885
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Jinjuan Heidi Feng, Matt Huenerfauth:
Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS 2016, Reno, NV, USA, October 23-26, 2016. ACM 2016, ISBN 978-1-4503-4124-0 [contents]
2015
[c26]
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Matt Huenerfauth, Elaine Gale, Brian Penly, Mackenzie Willard, Dhananjai Hariharan:
Comparing Methods of Displaying Language Feedback for Student Videos of American Sign Language. ASSETS 2015: 139-146
[c25]
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Hernisa Kacorri, Matt Huenerfauth, Sarah Ebling, Kasmira Patel, Mackenzie Willard:
Demographic and Experiential Factors Influencing Acceptance of Sign Language Animation by Deaf Users. ASSETS 2015: 147-154
[c24]
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Hernisa Kacorri, Matt Huenerfauth:
Comparison of Finite-Repertoire and Data-Driven Facial Expressions for Sign Language Avatars. HCI (8) 2015: 393-403
[c23]
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Sarah Ebling, Matt Huenerfauth:
Bridging the gap between sign language machine translation and sign language animation using sequence classification. SLPAT@Interspeech 2015: 2-9
[c22]
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Matt Huenerfauth, Pengfei Lu, Hernisa Kacorri:
Synthesizing and Evaluating Animations of American Sign Language Verbs Modeled from Motion-Capture Data. SLPAT@Interspeech 2015: 22-28
[c21]
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Hernisa Kacorri, Matt Huenerfauth:
Evaluating a Dynamic Time Warping Based Scoring Algorithm for Facial Expressions in ASL Animations. SLPAT@Interspeech 2015: 29-35
2014
[j13]
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Pengfei Lu, Matt Huenerfauth:
Collecting and evaluating the CUNY ASL corpus for research on American Sign Language animation. Comput. Speech Lang. 28(3): 812-831 (2014)
[j12]
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Matt Huenerfauth, Kathy McCoy:
Greetings from the New Editors-in-Chief. ACM Trans. Access. Comput. 5(3): 6:1 (2014)
[c20]
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Hernisa Kacorri, Matt Huenerfauth:
Implementation and evaluation of animation controls sufficient for conveying ASL facial expressions. ASSETS 2014: 261-262
[c19]
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Hernisa Kacorri, Allen Harper, Matt Huenerfauth:
Measuring the Perception of Facial Expressions in American Sign Language Animations with Eye Tracking. HCI (7) 2014: 553-563
2013
[j11]
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Hernisa Kacorri, Pengfei Lu, Matt Huenerfauth:
Effect of Displaying Human Videos During an Evaluation Study of American Sign Language Animation. ACM Trans. Access. Comput. 5(2): 4:1-4:31 (2013)
[c18]
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Hernisa Kacorri, Allen Harper, Matt Huenerfauth:
Comparing native signers' perception of American Sign Language animations and videos via eye tracking. ASSETS 2013: 9:1-9:8
[c17]
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Hernisa Kacorri, Pengfei Lu, Matt Huenerfauth:
Evaluating Facial Expressions in American Sign Language Animations for Accessible Online Information. HCI (6) 2013: 510-519
2012
[j10]
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Matt Huenerfauth, Pengfei Lu:
Effect of spatial reference and verb inflection on the usability of sign language animations. Univers. Access Inf. Soc. 11(2): 169-184 (2012)
[c16]
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Pengfei Lu, Matt Huenerfauth:
Learning a Vector-Based Model of American Sign Language Inflecting Verbs from Motion-Capture Data. SLPAT@HLT-NAACL 2012: 66-74
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Matt Huenerfauth, Sri Kurniawan:
The 14th International ACM SIGACCESS Conference on Computers and Accessibility, ASSETS '12, Boulder, CO, USA, October 22 - 24, 2012. ACM 2012, ISBN 978-1-4503-1321-6 [contents]
2011
[j9]
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Pengfei Lu, Matt Huenerfauth:
Data-Driven Synthesis of Spatially Inflected Verbs for American Sign Language Animation. ACM Trans. Access. Comput. 4(1): 4:1-4:29 (2011)
[c15]
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Matt Huenerfauth, Pengfei Lu, Andrew Rosenberg:
Evaluating importance of facial expression in american sign language and pidgin signed english animations. ASSETS 2011: 99-106
[c14]
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Pengfei Lu, Matt Huenerfauth:
Collecting an American Sign Language Corpus through the Participation of Native Signers. HCI (8) 2011: 81-90
2010
[j8]
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Matt Huenerfauth:
Participation of high school and undergraduate students who are deaf in research on American Sign Language animation. ACM SIGACCESS Access. Comput. 97: 14-24 (2010)
[j7]
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Matt Huenerfauth, Pengfei Lu:
Accurate and Accessible Motion-Capture Glove Calibration for Sign Language Data Collection. ACM Trans. Access. Comput. 3(1): 2:1-2:32 (2010)
[c13]
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Matt Huenerfauth, Pengfei Lu:
Modeling and synthesizing spatially inflected verbs for American sign language animations. ASSETS 2010: 99-106
[c12]
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Martin Jansche, Lijun Feng, Matt Huenerfauth:
Reading difficulty in adults with intellectual disabilities: analysis with a hierarchical latent trait model. ASSETS 2010: 277-278
[c11]
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Lijun Feng, Martin Jansche, Matt Huenerfauth, Noemie Elhadad:
A Comparison of Features for Automatic Readability Assessment. COLING (Posters) 2010: 276-284
[c10]
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Pengfei Lu, Matt Huenerfauth:
Collecting a Motion-Capture Corpus of American Sign Language for Data-Driven Generation Research. SLPAT@NAACL 2010: 89-97

2000 – 2009

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2009
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Matt Huenerfauth:
A Linguistically Motivated Model for Speed and Pausing in Animations of American Sign Language. ACM Trans. Access. Comput. 2(2): 9:1-9:31 (2009)
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Matt Huenerfauth, Lijun Feng, Noemie Elhadad:
Comparing evaluation techniques for text readability software for adults with intellectual disabilities. ASSETS 2009: 3-10
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Pengfei Lu, Matt Huenerfauth:
Accessible motion-capture glove calibration protocol for recording sign language data from deaf subjects. ASSETS 2009: 83-90
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Lijun Feng, Noemie Elhadad, Matt Huenerfauth:
Cognitively Motivated Features for Readability Assessment. EACL 2009: 229-237
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Matt Huenerfauth:
Improving Spatial Reference in American Sign Language Animation through Data Collection from Native ASL Signers. HCI (7) 2009: 530-539
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Matt Huenerfauth, Vicki L. Hanson:
Sign Language in the Interface. The Universal Access Handbook 2009: 1-18
2008
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Matt Huenerfauth:
Spatial, Temporal, and Semantic Models for American Sign Language Generation: Implications for Gesture Generation. Int. J. Semantic Comput. 2(1): 21-45 (2008)
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Matt Huenerfauth, Liming Zhao, Erdan Gu, Jan M. Allbeck:
Evaluation of American Sign Language Generation by Native ASL Signers. ACM Trans. Access. Comput. 1(1): 3:1-3:27 (2008)
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Matt Huenerfauth:
Generating American Sign Language animation: overcoming misconceptions and technical challenges. Univers. Access Inf. Soc. 6(4): 419-434 (2008)
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Matt Huenerfauth:
Evaluation of a psycholinguistically motivated timing model for animations of american sign language. ASSETS 2008: 129-136
2007
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Matt Huenerfauth, Liming Zhao, Erdan Gu, Jan M. Allbeck:
Evaluating American Sign Language generation through the participation of native ASL signers. ASSETS 2007: 211-218
2006
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Matt Huenerfauth:
Representing coordination and non-coordination in American Sign Language animations. Behav. Inf. Technol. 25(4): 285-295 (2006)
2005
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Matt Huenerfauth:
American Sign Language natural language generation and machine translation. ACM SIGACCESS Access. Comput. 81: 12-15 (2005)
[c3]
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Matt Huenerfauth:
American Sign Language Generation: Multimodal NLG with Multiple Linguistic Channels. ACL 2005: 37-42
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Matt Huenerfauth:
Representing coordination and non-coordination in an american sign language animation. ASSETS 2005: 44-51
2004
[c1]
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Matt Huenerfauth:
A Multi-Path Architecture for Machine Translation of English Text into American Sign Language Animation. HLT-NAACL (Student Research Workshop) 2004

Coauthor Index

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