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

  Matt Huenerfauth, Elaine Gale, Brian Penly, Sree Pillutla, Mackenzie Willard, Dhananjai Hariharan · 2017 · ACM Transactions on Accessible Computing (TACCESS)

  This paper investigates how to best present video-based feedback to students learning American Sign Language (ASL), as part of a long-term project to build an automatic system that analyses student signing videos and provides immediate corrective feedback. The motivation is…

  sign language · deaf and hard of hearing · ASL education · video feedback · language learning

• Regression Analysis of Demographic and Technology-Experience Factors Influencing Acceptance of Sign Language Animation

  Hernisa Kacorri, Matt Huenerfauth, Sarah Ebling, Kasmira Patel, Kellie Menzies, Mackenzie Willard · 2017 · ACM Transactions on Accessible Computing (TACCESS)

  This paper investigates how deaf participants' demographic backgrounds and technology experience influence their evaluation scores when assessing sign language animation systems, revealing that participant characteristics — not just animation quality — significantly affect study…

  sign language avatar · deaf and hard of hearing · evaluation methodology · regression analysis · ASL animation

• Closed ASL Interpreting for Online Videos

  Raja Kushalnagar, Matthew Seita, Abraham Glasser · 2017 · Proceedings of the 14th International Web for All Conference (W4A)

  This paper introduces "closed interpreting," a concept analogous to closed captioning but for sign language interpretation of online videos. While many deaf viewers prefer ASL interpreters over captions (as verbatim captioning speed often exceeds reading abilities, and deaf…

  American Sign Language · ASL · Deaf and hard of hearing · sign language interpreting · video accessibility

• Subjective Evaluation of Website Accessibility and Usability: A Survey for People with Sensory Disabilities

  Tahani Alahmadi, Steve Drew · 2017 · Proceedings of the 14th International Web for All Conference (W4A)

  This paper presents a novel subjective evaluation model for assessing web accessibility and usability from the perspective of students with sensory disabilities, applied to Australian university websites. The model integrates accessibility criteria from WCAG 2.0 and Section 508…

  accessibility evaluation · usability · university websites · education accessibility · sensory disabilities

• Personal Perspectives on Using Automatic Speech Recognition to Facilitate Communication between Deaf Students and Hearing Customers

  James R. Mallory, Michael Stinson, Lisa Elliot, Donna Easton · 2017 · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This experience report examines the use of Automatic Speech Recognition (ASR) via the WhatsApp smartphone app to facilitate communication between deaf and hard-of-hearing (D/HH) students and hearing business customers in real workplace settings. The study took place at the…

  automatic speech recognition · deaf and hard of hearing · workplace accessibility · deaf education · speech recognition

• Real-Time Depth-Camera Based Hand Tracking for ASL Recognition

  Brandon Taylor, Anind Dey, Daniel Siewiorek, Asim Smailagic · 2017 · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This demonstration paper validates the use of a publicly available real-time hand tracking algorithm (Sphere-Mesh) for recognizing American Sign Language (ASL) handshapes using a depth camera. Sign Language Recognition (SLR) has long been a motivating goal for high-precision…

  sign language recognition · hand tracking · computer vision · depth camera · machine learning

• Sign Language Support System for Viewing Sports Programs

  Tsubasa Uchida, Taro Miyazaki, Makiko Azuma, Shuichi Umeda, Naoto Kato, Hideki Sumiyoshi, Yuko Yamanouchi, Nobuyuki Hiruma · 2017 · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This demonstration paper from NHK (Japan Broadcasting Corporation) presents a prototype system that provides Japanese Sign Language (JSL) support for deaf and hard-of-hearing viewers watching sports broadcasts. The system was developed in response to strong demand from Japan's…

  sign language · signing avatar · Japanese Sign Language · deaf and hard of hearing · media accessibility

• Speed-Accuracy Tradeoffs for Detecting Sign Language Content in Video Sharing Sites

  Frank M. Shipman, Satyakiran Duggina, Caio D.D. Monteiro, Ricardo Gutierrez-Osuna · 2017 · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This paper addresses the problem of automatically detecting sign language content in videos on sharing platforms like YouTube and Vimeo. For many deaf and hard-of-hearing people, sign language is their primary communication medium, and they rely on online video content to stay…

  sign language · computer vision · video classification · information retrieval · deaf and hard of hearing

• Deaf, Hard of Hearing, and Hearing Perspectives on Using Automatic Speech Recognition in Conversation

  Abraham Glasser, Kesavan Kushalnagar, Raja Kushalnagar · 2017 · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This experience report describes the real-world accessibility challenges encountered by five participants — two deaf, one hard of hearing, and two hearing — including the authors, when using the top seven most popular ASR applications (DEAFCOM, Dragon Dictation, Siri, Virtual…

  automatic speech recognition · deaf and hard of hearing · speech recognition · communication accessibility · voice interface

• Evaluating the Usability of Automatically Generated Captions for People who are Deaf or Hard of Hearing

  Sushant Kafle, Matt Huenerfauth · 2017 · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17)

  This paper addresses a fundamental problem in automatic captioning for Deaf and Hard of Hearing (DHH) users: the standard metric used to evaluate automatic speech recognition (ASR) systems — Word Error Rate (WER) — poorly predicts how usable the resulting captions actually are…

  captioning · automatic speech recognition · deaf and hard of hearing · evaluation methods · natural language processing

• Deaf and Hard-of-Hearing Perspectives on Imperfect Automatic Speech Recognition for Captioning One-on-One Meetings

  Larwan Berke, Christopher Caulfield, Matt Huenerfauth · 2017 · Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17)

  This paper investigates whether and how to display word-level confidence information from Automatic Speech Recognition (ASR) systems in real-time captions for Deaf and Hard-of-Hearing (DHH) users during one-on-one meetings with hearing people. ASR engines assign confidence…

  deaf accessibility · automatic speech recognition · captioning · communication · user research

• Leveraging Complementary Contributions of Different Workers for Efficient Crowdsourcing of Video Captions

  Yun Huang, Yifeng Huang, Na Xue, Jeffrey P. Bigham · 2017 · CHI Conference on Human Factors in Computing Systems

  This paper presents BandCaption, a crowdsourcing system that combines automatic speech recognition (ASR) with input from diverse crowd workers to efficiently correct video captions. The key insight is that different groups of people — hearing-impaired users, second-language…

  captioning · crowdsourcing · video accessibility · speech recognition · deaf and hard of hearing

• Scribe: Deep Integration of Human and Machine Intelligence to Caption Speech in Real Time

  Walter S. Lasecki, Christopher D. Miller, Iftekhar Naim, Raja Kushalnagar, Adam Sadilek, Daniel Gildea, Jeffrey P. Bigham · 2017 · Communications of the ACM

  Scribe is a system that provides on-demand, real-time captioning of live speech for deaf and hard of hearing (DHH) people by combining groups of non-expert human captionists with machine intelligence. The system addresses a critical accessibility gap: professional CART…

  real-time captioning · deaf and hard of hearing · crowdsourcing · human computation · speech recognition

13 results.