Nola A11y
Nola A11y
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Matt Huenerfauth
Professor and Dean at RIT
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Exploring the Benefits and Applications of Video-Span Selection and Search for Real-Time Support in Sign Language Video Comprehension among ASL Learners
Caption Royale: Exploring the Design Space of Affective Captions from the Perspective of Deaf and Hard-of-Hearing Individuals
Modeling Word Importance in Conversational Transcripts: Toward improved live captioning for Deaf and hard of hearing viewers
Understanding How Deaf and Hard of Hearing Viewers Visually Explore Captioned Live TV News
Support in the Moment: Benefits and use of video-span selection and search for sign-language video comprehension among ASL learners
Understanding ASL Learners’ Preferences for a Sign Language Recording and Automatic Feedback System to Support Self-Study
ASL-Homework-RGBD Dataset: An Annotated Dataset of 45 Fluent and Non-fluent Signers Performing American Sign Language Homeworks
Using BERT Embeddings to Model Word Importance in Conversational Transcripts for Deaf and Hard of Hearing Users
Design and Evaluation of Hybrid Search for American Sign Language to English Dictionaries: Making the Most of Imperfect Sign Recognition
Watch It, Don’t Imagine It: Creating a Better Caption-Occlusion Metric by Collecting More Ecologically Valid Judgments from DHH Viewers
Effect of Sign-recognition Performance on the Usability of Sign-language Dictionary Search
Unpacking the Interdependent Systems of Discrimination: Ableist Bias in NLP Systems through an Intersectional Lens
Effect of Occlusion on Deaf and Hard of Hearing Users’ Perception of Captioned Video Quality
Caption-Occlusion Severity Judgments across Live-television Genres from Deaf and Hard-of-hearing Viewers
Effect of Ranking and Precision of Results on Users’ Satisfaction with Search-by-Video Sign-language Dictionaries
An Isolated-Signing RGBD Dataset of 100 American Sign Language Signs Produced by Fluent ASL Signers
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