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Reviews

The literature-review database. Every paper Bob has reviewed (he has read many more), with a short summary, key findings, and tags. Browse, filter, search.

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  • I Can't Keep Up: Accessibility Barriers in Video-Based Learning for Individuals with Borderline Intellectual Functioning

    Hyehyun Chu, Seungju Kim, Chen Zhou, Yu-Kai Hung, Saelyne Yang, Hyun W. Ka, Juho Kim · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

    This CHI 2026 paper by Chu, Kim, Zhou, Hung, Yang, Ka, and Kim (KAIST and SkillBench) examines accessibility barriers in video-based learning (VBL) for individuals with Borderline Intellectual Functioning (BIF)—people with IQ scores roughly 70–85 who represent about 13.6% of the…

    cognitive accessibility · video-based learning · video accessibility · borderline intellectual functioning · intellectual disability

  • Co-Designing Multimodal Systems for Accessible Asynchronous Dance Instruction

    Ujjaini Das, Shreya Kappala, Meng Chen, Mina Huh, Amy Pavel · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

    This paper investigates how to design multimodal systems that make asynchronous dance instruction accessible to blind and low vision (BLV) learners. While online exercise videos have proliferated, particularly since COVID-19, dance tutorials rely heavily on visual demonstrations…

    blind and low vision · audio description · haptics · multimodal instruction · co-design

  • 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

  • Redesigning Educational Videos for Deaf and Hard-of-Hearing Learners

    Si Chen, Haocong Cheng, Suzy Su, Lu Ming, Sarah Masud, Qi Wang, Yun Huang · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

    Educational videos have exploded in higher education and online learning, but accessibility guidance for d/Deaf and Hard-of-Hearing (DHH) learners has barely moved beyond captions and transcripts. Chen and colleagues argue this is a theoretical gap as much as a practical one:…

    deaf and hard of hearing · video accessibility · captioning · multimedia learning · cognitive accessibility

  • Reimagining Sign Language Technologies: Analyzing Translation Work of Chinese Deaf Online Content Creators

    Xinru Tang, Anne Marie Piper · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

    Tang and Piper investigate the translation practices of thirteen deaf Chinese online content creators who produce sign language videos for Kuaishou, Bilibili, Douyin, WeChat, and Xiaohongshu, reaching audiences that range from thousands to nearly a quarter million followers. The…

    sign language · deaf accessibility · sign language translation · content creators · translanguaging

  • Creating Disability Story Videos with Generative AI: Motivation, Expression, and Sharing

    Shuo Niu, Dylan Clements, Hyungsin Kim · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

    Niu, Clements, and Kim worked with nine people with disabilities (PwDs) from a Massachusetts disability advocacy group (pseudonymized as 'Campaign') to study how novice users adopt generative AI for creating first-person disability storytelling videos. Participants had…

    generative AI · disability storytelling · video accessibility · disability advocacy · LLM

  • Disclosure Matters: How Self-Disclosure Statements in Song Signing Videos Shape d/Deaf Audiences' Acceptance of Culturally Sensitive Content

    Suhyeon Yoo, Somang Nam, Mark Chignell, Khai N. Truong · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

    This CHI 2026 paper investigates whether self-disclosure statements (SDS) — short first-person texts in which a song signer describes their identity, motivations, training, and relationship to the Deaf community — can improve how d/Deaf audiences receive song signing videos on…

    self-disclosure · Deaf culture · song signing · cultural appropriation · sign language

  • Mapping Movies: A Mind-Map Approach to Aphasia-Friendly Video

    Shayan Bali, Alexandre Nevsky, Filip Bircanin, Timothy Neate · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

    Bali, Nevsky, Bircanin, and Neate (King's College London) target an under-served corner of media accessibility: viewers with aphasia and other complex communication needs (CCNs) for whom subtitles, audio description, and existing simplified-media interventions do not…

    aphasia · complex communication needs · video accessibility · cognitive accessibility · mind maps

  • ViDscribe: Multimodal AI for Customizing Audio Description and Question Answering in Online Videos

    Maryam S Cheema, Sina Elahimanesh, Pooyan Fazli, Hasti Seifi · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

    Cheema and colleagues (Arizona State University and Saarland University) present ViDscribe, a web platform that layers AI-generated audio description (AD) and conversational visual question answering (VQA) on top of arbitrary YouTube videos for blind and low vision (BLV)…

    video accessibility · audio description · blind and low vision · multimodal large language models · visual question answering

  • Sonic Stage: Automatically Generating an Interactive Spatial Soundscape to Facilitate Dialogue Video Comprehension for Blind and Low Vision Viewers

    Shuchang Xu, Xiaofu Jin, Gaurav Jain, Wenshuo Zhang, Huamin Qu, Brian A. Smith, Yukang Yan · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

    Xu and colleagues (HKUST, Columbia, Aalto, Rochester) tackle a well-known but largely unsolved problem in video accessibility: standard audio description (AD) is constrained not to overlap with dialogue, so dialogue-heavy scenes in films and TV - where characters' actions,…

    video accessibility · audio description · blind and low vision · spatial audio · sound design

  • VeasyGuide: Personalized Visual Guidance for Low-vision Learners on Instructor Actions in Presentation Videos

    Mohamad Elayyan Sechayk, Himanshu Singh, Jan Smeddinck, Chakkrit Tantithamthavorn · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

    This paper introduces VeasyGuide, a tool designed to make presentation videos more accessible for low-vision (LV) learners by automatically detecting and highlighting instructor actions such as pointing, marking, and sketching. The authors identify a significant gap in current…

    low vision · video accessibility · e-learning · motion detection · visual guidance

  • FocusView: Understanding and Customizing Informational Video Watching Experiences for Viewers with ADHD

    Hanxiu Hazel Zhu, Ruijia Chen, Yuhang Zhao · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

    This paper presents FocusView, an AI-powered video customization interface designed to help viewers with ADHD reduce distractions and maintain focus when watching informational videos. The research addresses the critical gap that while videos have become a dominant medium for…

    ADHD · video accessibility · video customization · distraction reduction · cognitive accessibility

  • DescribePro: Collaborative Audio Description with Human-AI Interaction

    Maryam S Cheema, Sina Elahimanesh, Samuel Martin, Pooyan Fazli, Hasti Seifi · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

    This paper presents DescribePro, a web-based platform that combines human expertise with AI capabilities to create and refine audio descriptions (AD) for video content. The system addresses the fundamental tension in AD production: human-crafted descriptions are high quality but…

    audio description · video accessibility · human-AI collaboration · authoring tools · blind and low vision

  • Making Lecture Videos Accessible for Students who are Blind or have Low Vision through AI-Assisted Navigation and Visual Question Answering

    Katharina Anderer, Karin Müller, Lukas Strobel, Matthias Wölfel, Jan Niehues, Kathrin Gerling · 2025 · Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2025)

    This paper presents the design and evaluation of LectureAssistant, an AI-powered prototype that makes lecture videos more accessible for students who are blind or have low vision. The research follows a three-part human-centred design process. First, need-finding interviews with…

    blind and low vision · lecture accessibility · higher education · large language models · vision-language models

  • NoTeeline: Supporting Real-Time, Personalized Notetaking with LLM-Enhanced Micronotes

    Faria Huq, Abdus Samee, David Chuan-En Lin, Alice Xiaodi Tang, Jeffrey P. Bigham · 2025 · Proceedings of the 30th International Conference on Intelligent User Interfaces (IUI '25)

    This paper introduces NoTeeline, an interactive notetaking tool that uses LLMs to expand user-written "micronotes" — brief shorthand jottings like "plastic pol. ->" or "RNNs are unrolled l to r or opp" — into full-fledged notes that maintain the user's personal writing style.…

    large language models · writing assistance · personalization · notetaking · cognitive load

  • Design considerations for photosensitivity warnings in visual media

    Laura South, Caglar Yildirim, Amy Pavel, Michelle A. Borkin · 2024 · Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '24)

    This paper investigates how photosensitivity warnings should be designed for digital visual media to effectively help people with photosensitive epilepsy (PSE) navigate content safely. Photosensitive seizures can be triggered by flashing lights, strobing effects, and rapid…

    photosensitive epilepsy · seizure safety · video accessibility · content warnings · web accessibility

  • Audio Description Customization

    Rosiana Natalie, Ruei-Che Chang, Smitha Sheshadri, Anhong Guo, Kotaro Hara · 2024 · Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2024)

    This paper investigates how audio descriptions (AD) for video content can be customized to meet the diverse preferences of blind and low-vision (BLV) users. Traditional ADs are fixed narratives created by sighted describers, offering no ability for users to adjust what…

    audio description · blind and low vision · customization · video accessibility · assistive technology

  • Touchpad Mapper: Exploring Non-Visual Touchpad Interactions for Screen-Reader Users

    Ather Sharif, Venkatesh Potluri, Jazz R. X. Ang, Jacob O. Wobbrock, Jennifer Mankoff · 2024 · Proceedings of the 21st International Web for All Conference (W4A)

    This technical note introduces Touchpad Mapper, a system that repurposes the laptop touchpad — a widely available but underutilized input device for screen-reader users — as a spatial interface for exploring 2D digital content non-visually. The authors argue that while touchpads…

    screen readers · blindness · touchpad · interaction design · input devices

  • Making Accessible Movies Easily: An Intelligent Tool for Authoring and Integrating Audio Descriptions to Movies

    Ming Shen, Gang Huang, Yuxuan Wu, Shuyi Song, Sheng Zhou, Liangcheng Li, Zhi Yu, Wei Wang, Jiajun Bu · 2024 · Proceedings of the 21st International Web for All Conference (W4A)

    This paper introduces EasyAD, an intelligent tool that automates the process of authoring and integrating audio descriptions (AD) into movies for blind and visually impaired (BVI) users. The traditional AD production workflow is highly labor-intensive, requiring authors to…

    audio description · blind and low vision · media accessibility · multimodal AI · speech synthesis

  • "Signifier" Video Sharing Platform and Accessible Media Player for Deaf Users

    Paraskevi Panagi, Alexandros Yeratziotis, Thomas Fotiadis, Christos Mettouris, George Angelos Papadopoulos · 2024 · Proceedings of the 2024 International Conference on Information Technology for Social Good (GoodIT)

    This paper from the University of Cyprus and Connect Deaf presents the "Signifier" video sharing platform and its integrated Signifier Accessible Media Player (SiAMP), designed specifically to address the lack of accessible video media for Deaf and Hard-of-Hearing (D & HH)…

    deaf accessibility · sign language · media accessibility · video accessibility · inclusive design

  • Exploring Community-Driven Descriptions for Making Livestreams Accessible

    Daniel Killough, Amy Pavel · 2023 · ASSETS '23: Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility

    This paper investigates the feasibility of using livestream community members — sighted viewers who are domain experts in the content being streamed — to provide real-time descriptions that make livestreams accessible to viewers with visual impairments. Livestreams present…

    audio description · livestreaming · blind and low vision · crowdsourcing · video accessibility

  • Beyond Audio Description: Exploring 360° Video Accessibility with Blind and Low Vision Users Through Collaborative Creation

    Lucy Jiang, Mahika Phutane, Shiri Azenkot · 2023 · Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2023)

    This paper investigates how to make 360-degree videos accessible to blind and low vision (BLV) users while preserving their immersive nature — a challenge that goes well beyond simply adding traditional audio description (AD). The researchers conducted a two-part study with 14…

    audio description · 360 video · video accessibility · blind and low vision · co-design

  • The Potential of a Visual Dialogue Agent In a Tandem Automated Audio Description System for Videos

    Abigale Stangl, Shasta Ihorn, Yue-Ting Siu, Aditya Bodi, Mar Castanon, Lothar D Narins, Ilmi Yoon · 2023 · Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2023)

    This paper presents and evaluates a tandem AI-based audio description (AD) system for videos that combines two complementary tools: NarrationBot, which delivers automated minimum viable descriptions (MVD) of video content, and InfoBot, a visual dialogue agent that allows users…

    audio description · blind and low vision · visual question answering · visual dialogue · AI

  • Enhancing Non-Speech Information Communicated in Closed Captioning Through Critical Design

    May, Lloyd, Park, So Yeon, Berger, Jonathan · 2023 · Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

    This paper investigates the communication of non-speech information (NSI) in closed captioning for d/Deaf and hard of hearing (DHH) viewers through a mixed-methods study combining needfinding interviews, prototype development, surveys, and evaluation interviews with 20 DHH…

    captioning · non-speech information · deaf and hard of hearing · critical design · sound communication

  • Machine Generation of Audio Description for Blind and Visually Impaired People

    Virgínia P. Campos, Tiago M. U. de Araújo, Guido L. de Souza Filho, Luiz M. G. Gonçalves · 2023 · ACM Transactions on Accessible Computing

    This paper presents an extension to CineAD, a system for automatically generating audio descriptions (AD) for videos. The authors address a critical accessibility gap: most videos, films, and cultural programming lack audio descriptions, leaving blind and visually impaired (BVI)…

    audio description · blind and visually impaired · computer vision · machine learning · video accessibility