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• Access on Demand: Real-time, Multi-modal Accessibility for the Deaf and Hard-of-Hearing based on Augmented Reality

  Roshan Mathew, Brian Mak, Wendy Dannels · 2022 · Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '22)

  This experience report documents two deaf researchers' hands-on evaluation of Access on Demand (AoD), an augmented reality application developed at Rochester Institute of Technology that delivers real-time captioning and American Sign Language (ASL) interpretation through Vuzix…

  augmented reality · deaf and hard of hearing · smart glasses · captioning · sign language interpretation

• Understanding Social and Environmental Factors to Enable Collective Access Approaches to the Design of Captioning Technology

  Emma McDonnell · 2022 · Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '22)

  This doctoral consortium paper presents a dissertation research program that reimagines how captioning technology should be designed by applying the disability justice principle of collective access — the idea that accessibility is a shared responsibility of all group members,…

  captioning · collective access · disability justice · deaf and hard of hearing · co-design

• Beyond Subtitles: Captioning and Visualizing Non-speech Sounds to Improve Accessibility of User-Generated Videos

  Oliver Alonzo, Hijung Valentina Shin, Dingzeyu Li · 2022 · Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '22)

  This paper investigates a significant gap in video captioning: the representation of non-speech sounds. While automatic speech recognition (ASR) has become widely available for generating captions on platforms like YouTube, TikTok, and Zoom, these systems focus exclusively on…

  deaf and hard of hearing · captioning · non-speech sounds · automatic captions · video accessibility

• Remotely Co-Designing Features for Communication Applications using Automatic Captioning with Deaf and Hearing Pairs

  Matthew Seita, Sooyeon Lee, Sarah Andrew, Kristen Shinohara, Matt Huenerfauth · 2022 · Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22)

  This CHI 2022 paper addresses two intertwined problems. First, methodologically, how can co-design research involving both Deaf/Hard-of-Hearing (DHH) and hearing participants be conducted remotely during and beyond COVID-19, when in-person sessions are not possible and masks…

  automatic speech recognition · deaf and hard of hearing · participatory design · co-design · videoconferencing

• Watch It, Don't Imagine It: Creating a Better Caption-Occlusion Metric by Collecting More Ecologically Valid Judgments from DHH Viewers

  Akhter Al Amin, Saad Hassan, Sooyeon Lee, Matt Huenerfauth · 2022 · Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22)

  This CHI 2022 paper builds a better automated metric for the severity of caption-occlusion — the problem of closed captions blocking important on-screen visual content during television programming. DHH viewers consistently report that even perfectly transcribed captions become…

  captioning · captions · caption occlusion · deaf and hard of hearing · television accessibility

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