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• Deaf and Hard of Hearing Access to Intelligent Personal Assistants: Comparison of Voice-Based Options with an LLM-Powered Touch Interface

  Paige S DeVries, Michaela Okosi, Ming Li, Nora Dunphy, Gidey Gezae, Dante Conway, Abraham Glasser, Raja Kushalnagar, Christian Vogler · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This mixed-methods study compares three input methods for Deaf and Hard of Hearing (DHH) people who use their voice to interact with an Amazon Echo Show: (1) natural deaf-accented speech via Alexa's built-in ASR, (2) Wizard-of-Oz 'facilitated English' where a trained human…

  deaf and hard of hearing · voice assistant · intelligent personal assistant · automatic speech recognition · deaf-accented speech

• Like, Comment & Caption: A Decade of Social Media Video Caption Research (2015-2025)

  Huong Nguyen, Emma J. McDonnell, Lloyd May, Alexander Druzenko, Zoobia Saifullah Syeda, Mark Cartwright, Sooyeon Lee · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper is a systematic literature review of 36 peer-reviewed studies on Social Media Video Captions (SMVC) published between 2015 and 2025, spanning HCI, accessibility, media studies, education, and language learning. The authors use 'SMVC' as an umbrella for…

  captioning · captions · video accessibility · social media accessibility · Deaf and hard of hearing

• Challenges in Automatic Speech Recognition for Adults with Cognitive Impairment

  Michelle Cohn, Alyssa Lanzi, Yui Ishihara, Chen-Nee Chuah, Georgia Zellou, Alyssa Weakley · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper quantifies how well state-of-the-art automatic speech recognition (ASR) handles voice commands produced by older adults with cognitive impairment, and asks which acoustic features actually predict transcription accuracy. The authors draw on the Voice…

  automatic speech recognition · ASR · dementia · Alzheimer's disease · mild cognitive impairment

• Speech AI for All: The What, How, and Who of Measurement

  Kimi Wenzel, Alisha Pradhan, Maria Teleki, Tobias M. Weinberg, Robin Netzorg, Alyssa Hillary Zisk, Anna Seo Gyeong Choi, Jingjin Li, Raja Kushalnagar, Colin Lea, Abraham Glasser, Christian Vogler, Ly Xinzhen M. Zhangsun Brown, Nan Bernstein Ratner, Allison Koenecke, Karen Nakamura, Shaomei Wu · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26) — Workshop

  This CHI 2026 workshop proposal — the second in the organisers' 'Speech AI for All' series — assembles 17 researchers, practitioners, and community advocates to tackle a specific downstream problem in fair and accessible speech AI: measurement. The motivating claim is that…

  speech AI · automatic speech recognition · speech diversity · augmentative and alternative communication · disfluency

• Silence is a Feature, Not a Bug: A Deaf Developer’s Autoethnography on Agency and Local AI

  Chenyang Gong · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstract is a three-page autoethnographic provocation by a Deaf computer science graduate student who uses a MED-EL cochlear implant. The author refuses the medical-model framing of deafness as deficit and instead argues that the ability to remove the…

  autoethnography · deaf and hard of hearing · cochlear implant · automatic speech recognition · captioning

• Speaker-Aware Affective Captioning for Multi-Speaker STEM Talk in Inclusive Classrooms

  Sunday David Ubur, Denis Gracanin, Stephanie P DeHart, Enoch Katey Akli, Fatemeh Sarshartehrani, Sikiru Adewale · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Ubur and colleagues at Virginia Tech address a specific failure mode of live captioning in classroom and meeting settings: collapsing multi-speaker discourse into a single text stream that obscures who said what and how it was said. They argue this is especially consequential…

  captioning · deaf and hard of hearing · speaker diarization · speech emotion recognition · STEM education

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