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• Understanding Deaf and Hard-of-Hearing Users' Interest in Sign-Language Interaction with Personal-Assistant Devices

  Abraham Glasser, Vaishnavi Mande, Matt Huenerfauth · 2021 · Proceedings of the 18th International Web for All Conference (W4A '21)

  This mixed-methods study investigates Deaf and Hard of Hearing (DHH) users' experiences with and interest in personal-assistant devices (such as Amazon Alexa and Google Home) that could understand American Sign Language (ASL) commands. The research was motivated by the growing…

  deaf and hard of hearing · sign language · personal assistants · voice interface · smart home

• Caption-Occlusion Severity Judgments across Live-Television Genres from Deaf and Hard-of-Hearing Viewers

  Akhter Al Amin, Saad Hassan, Matt Huenerfauth · 2021 · Proceedings of the 18th International Web for All Conference (W4A '21)

  This paper addresses a largely overlooked dimension of caption quality for Deaf and Hard of Hearing (DHH) viewers: the problem of captions occluding important onscreen visual content during live television broadcasts. While existing caption quality metrics focus primarily on…

  deaf and hard of hearing · captions · television accessibility · caption placement · media accessibility

• Effect of Caption Width on the TV User Experience by Deaf and Hard of Hearing Viewers

  Abraham Glasser, Joseline Garcia, Chang Hwang, Christian Vogler, Raja Kushalnagar · 2021 · Proceedings of the 18th International Web for All Conference (W4A)

  This study from Rochester Institute of Technology and Gallaudet University investigates how caption line width affects the viewing experience for Deaf and hard of hearing (DHH) viewers. Captioning technology has not kept pace with the shift from broadcast TV to diverse personal…

  captioning · deaf and hard of hearing · video accessibility · user experience · media accessibility

• Deaf and Hard-of-Hearing Users' Preferences for Hearing Speakers' Behavior during Technology-Mediated In-Person and Remote Conversations

  Matthew Seita, Sarah Andrew, Matt Huenerfauth · 2021 · Proceedings of the 18th International Web for All Conference (W4A)

  This paper presents the first quantitative evidence of Deaf and hard-of-hearing (DHH) individuals' preferences for specific speech and non-verbal behaviors from hearing conversational partners during technology-mediated communication. The researchers conducted two experimental…

  deaf and hard of hearing · automatic speech recognition · videoconferencing · communication accessibility · speechreading

• I See What You're Saying: A Literature Review of Eye Tracking Research in Communication of Deaf or Hard of Hearing Users

  Chanchal Agrawal, Roshan L Peiris · 2021 · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '21)

  This paper presents a comprehensive literature review of 55 eye-tracking studies examining the gaze patterns and communication behaviours of deaf or hard-of-hearing (DHH) individuals. The authors systematically searched ACM, IEEE, Google Scholar, and linguistics and psychology…

  deaf and hard of hearing · eye tracking · eye gaze · sign language · lip-reading

• At a Different Pace: Evaluating Whether Users Prefer Timing Parameters in American Sign Language Animations to Differ from Human Signers' Timing

  Sedeeq Al-khazraji, Becca Dingman, Sooyeon Lee, Matt Huenerfauth · 2021 · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '21)

  This paper investigates whether deaf and hard-of-hearing (DHH) ASL signers actually prefer sign language animations with timing parameters that match human signers, or whether they prefer some form of exaggeration for additional clarity. Adding ASL animations to websites can…

  American Sign Language · sign language animation · deaf and hard of hearing · timing parameters · avatar

• Lost in Translation: Challenges and Barriers to Sign Language-Accessible User Research

  Amelie Unger, Dieter P. Wallach, Nicole Jochems · 2021 · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '21)

  This experience report describes the challenges hearing researchers face when conducting user research with sign language (SL) users, based on the authors' experience running remote focus groups with German Sign Language (GSL) users as part of the AVASAG project — which is…

  deaf and hard of hearing · sign language · user research · focus groups · language accessibility

• American Sign Language Video Anonymization to Support Online Participation of Deaf and Hard of Hearing Users

  Sooyeon Lee, Abraham Glasser, Becca Dingman, Zhaoyang Xia, Dimitris Metaxas, Carol Neidle, Matt Huenerfauth · 2021 · ASSETS '21: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility

  Deaf and Hard of Hearing (DHH) individuals who prefer to communicate in American Sign Language (ASL) face a unique privacy barrier online: because ASL is a visual language conveyed through movements of the face, head, hands, and torso, and because the face carries essential…

  deaf and hard of hearing · sign language · American Sign Language · anonymization · privacy

• Deep Learning Methods for Sign Language Translation

  Tejaswini Ananthanarayana, Priyanshu Srivastava, Akash Chintha, Akhil Santha, Brian Landy, Joseph Panaro, Andre Webster, Nikunj Kotecha, Shagan Sah, Thomastine Sarchet, Raymond Ptucha, Ifeoma Nwogu · 2021 · ACM Transactions on Accessible Computing

  This comprehensive study evaluates deep learning methods for translating sign language video directly to spoken/written text—critically, without requiring the intermediate step of gloss-based recognition (manual sign-for-sign transcription). The researchers systematically…

  sign language · machine translation · deep learning · transformer · neural network

• Deaf and Hard-of-hearing Users Evaluating Designs for Highlighting Key Words in Educational Lecture Videos

  Sushant Kafle, Becca Dingman, Matt Huenerfauth · 2021 · ACM Transactions on Accessible Computing

  This empirical study investigates design preferences for keyword highlighting in video captions among Deaf and Hard of Hearing (DHH) users. While style guides like the APA Publication Manual and Chicago Manual of Style provide recommendations for highlighting text in static…

  deaf and hard of hearing · captions · captioning · video accessibility · text highlighting

• Effect of Sign-recognition Performance on the Usability of Sign-language Dictionary Search

  Saad Hassan, Oliver Alonzo, Abraham Glasser, Matt Huenerfauth · 2021 · ACM Transactions on Accessible Computing

  This paper investigates how the performance of sign-language recognition technology affects user satisfaction with ASL dictionary search systems. Unlike written languages where users can type unfamiliar words to look them up, ASL learners who encounter an unfamiliar sign cannot…

  American Sign Language · ASL · sign language recognition · dictionary search · information retrieval

• Deaf Users' Preferences Among Wake-Up Approaches during Sign-Language Interaction with Personal Assistant Devices

  Vaishnavi Mande, Abraham Glasser, Becca Dingman, Matt Huenerfauth · 2021 · Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (CHI EA '21)

  This CHI 2021 Extended Abstract investigates a narrow but previously unexplored question: if future personal-assistant devices (Alexa, Google Assistant, etc.) could recognise sign language, how should Deaf users wake them up? Current wake-up mechanisms — speaking a wake-word…

  deaf and hard of hearing · sign language · personal assistants · voice interface · conversational user interfaces

• Comparison of Methods for Evaluating Complexity of Simplified Texts among Deaf and Hard-of-Hearing Adults at Different Literacy Levels

  Oliver Alonzo, Jessica Trussell, Becca Dingman, Matt Huenerfauth · 2021 · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI '21)

  This CHI 2021 paper is the companion methodological study to Alonzo et al.'s 2022 fluency work: where that later paper asked how to evaluate the fluency (grammaticality) of simplified texts, this one asks how to evaluate their complexity (whether the simplification actually made…

  automatic text simplification · deaf and hard of hearing · readability · reading accessibility · research methodology

13 results.