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• Eyes on the Palm: Investigating a Ring-Shaped Camera for Seamless Accessible Tactile Exploration

  Ayaka Tsutsui, Xiyue Wang, Hironobu Takagi, Yoichi Ochiai, Chieko Asakawa · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Tsutsui and colleagues ask how the form factor of a camera-based assistive device shapes the way blind and low-vision (BLV) users coordinate their hands during tactile exploration of real museum exhibits. Smartphone apps such as Seeing AI and Be My AI are designed around a…

  wearable technology · assistive technology · blindness and low vision · visual impairment · tactile exploration

• DiG-Net: Enhancing Human–Robot Interaction through Hyper-Range Dynamic Gesture Recognition in Assistive Robotics

  Eran Bamani Beeri, Eden Nissinman, Avishai Sintov · 2026 · ACM Transactions on Human-Robot Interaction

  DiG-Net (Distance-aware Gesture Network) addresses a fundamental limitation in gesture-controlled assistive robotics: existing dynamic gesture recognition systems work reliably only within about seven metres of the camera, severely constraining their usefulness in real-world…

  assistive robotics · gesture recognition · human-robot interaction · mobility impairment · accessibility

• Beyond Accuracy: Auditing Allocative Harms in Facial-Gesture Recognition for People with Motor Impairments

  Siyu Zhang, Yelu Gu, Kirsten Cater, Oussama Metatla · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper challenges the conventional framing of facial-gesture recognition accuracy as a purely technical property, and reframes it as a sensorimotor alignment problem between user intention and algorithmic interpretation. The authors conducted a mixed-methods empirical study…

  facial gesture recognition · motor impairment · algorithmic fairness · allocative harm · accessibility

• The ORBIT India Dataset: Understanding the Challenges of Collecting a Disability-First AI Dataset in Low-Resource Environments

  Gesu India, Martin Grayson, Cecily Morrison, Daniela Massiceti, Simon Robinson, Jennifer Pearson, Matt Jones · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper introduces ORBIT-India, the first teachable object recognition dataset contributed entirely by people who are blind or have low vision in India. It extends the UK/Canada-collected ORBIT dataset (Massiceti et al., 2021) to the Indian context — home of the world's…

  AI · accessibility · datasets · teachable object recognition · vision impairment

• HapticLens: Interactive Vibrotactile Haptic Generation from Spatially Localized Video Motion

  Kevin John, Hasti Seifi · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  HapticLens is an interactive method for generating single-actuator vibrotactile signals from arbitrary video content by letting a designer select a spatial region of interest and converting motion within that region into a vibration waveform in real time. The authors motivate…

  haptics · vibrotactile feedback · video-to-haptics · computer vision · multimodal interaction

• Camera-Based Closed-Loop Fingertip Deflection Guidance: Pilot Demonstrations in Target Acquisition and Object Retrieval

  Tomasz P. Trzpit, Gregory Reardon, Elizabeth M. Gerber, Pedro Lopes, Michael A. Peshkin, J. Edward Colgate · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstracts poster from the Northwestern/University of Chicago team behind the NURing project presents a camera-enabled evolution of their fingertip-deflection guidance wearable. The authors argue that most eyes-free guidance systems for blind and…

  haptics · wearable technology · assistive technology · blindness and low vision · eyes-free interaction

• Look Here, Click Me: Improving Older Adults’ Perception of Manipulable User Interface Components through AI-Based Perceptual Guidance

  Sera Park, Seoyeon Kim, Sangyeon Kim · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  This CHI 2026 Extended Abstracts paper from Sookmyung Women’s University (Seoul) tackles a concrete gap in older-adult digital literacy: existing programs teach step-by-step procedures ("tap here, then here, then here") that collapse the moment an app updates its layout. The…

  older adults · digital literacy · perceptual learning · accessibility · UI components

• SoundSpace: What and Where Through Sound

  Amber Maimon, Iddo Yehoshua Wald, Rahaf Sobh, Carol Sliman, Yarah Nassar, Joel Lanir · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  SoundSpace is a real-time sensory substitution system designed to give blind and visually impaired users simultaneous awareness of what objects are present in a scene and where they are located, without relying exclusively on verbal scene descriptions. The authors argue that…

  blind and low vision · sensory substitution · spatial audio · sonification · assistive technology

• SocialCue: Exploring the Design Space of Social Wayfinding Assistants for Blind and Low Vision People

  Veronica Bossio Botero, Sidharth Sharma, Ruoyu Iris Xu, Lisa Maria DiSalvo, Ritvik Sharma, Brian A. Smith · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  SocialCue is a wearable technology probe that targets a problem most assistive navigation work ignores: not where to walk, but how to read and act inside an unfolding social scene. The authors argue that existing tools for blind and low vision (BLV) people focus on spatial…

  blind and low vision · social navigation · wayfinding · wearable technology · computer vision

• VisionAid: A Multimodal Assistive Application Supporting Safe Road Navigation for Visually Impaired People in Bangladesh

  Asif Mahbub, Nabil Bin Hannan · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA ’26)

  VisionAid is an Android pedestrian-safety app for blind and low vision (BLV) users in Bangladesh, where road crossing is dangerous because traffic is unstructured: lane discipline is rare, drivers run signals, and crosswalks are inconsistent. The authors argue that…

  blind and low vision · pedestrian navigation · mobile accessibility · computer vision · haptic feedback

• "Where Can I Park?" Understanding Human Perspectives and Scalably Detecting Disability Parking from Aerial Imagery

  Jared Hwang, Chu Li, Hanbyul Kang, Maryam Hosseini, Jon E. Froehlich · 2025 · ASSETS '25: Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This mixed-methods paper addresses the critical gap in understanding and assessing disability parking in the United States. Despite ADA mandates requiring 4-8% of public parking spaces to be accessible, there has been no large-scale investigation of the quality or allocation of…

  disability parking · computer vision · urban planning · aerial imagery · object detection

• AmblyOverlay: An Input-Transparent, Assistive Overlay for Binocular Visual Therapy and Dichoptic Filtering

  Pooja Thaker · 2025 · Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2025)

  AmblyOverlay is a proof-of-concept software tool that applies dichoptic color filters to any application window in real time, enabling binocular vision therapy during ordinary computer use — particularly gaming. The system targets people with amblyopia (lazy eye), strabismus…

  amblyopia · visual therapy · dichoptic vision · assistive technology · binocular vision

• SignStreamNet: Streaming Sign Language Video-to-Text Translation for Accessibility

  Warfa Ahmed · 2025 · Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2025)

  This paper introduces SignStreamNet, a hybrid neural network architecture designed to translate sign language video into written text in near real-time. The system addresses a fundamental accessibility barrier: over 70 million Deaf and Hard-of-Hearing (DHH) people worldwide rely…

  sign language translation · deaf and hard of hearing · real-time translation · deep learning · computer vision

• 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

• Exploring Object Status Recognition for Recipe Progress Tracking in Non-Visual Cooking

  Franklin Mingzhe Li, Kaitlyn Ng, Bin Zhu, Patrick Carrington · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper presents OSCAR (Object Status Context Awareness for Recipes), a technical pipeline that uses object status recognition—tracking the condition and transformation of ingredients and tools—to support recipe progress tracking for blind and low vision (BLV) cooks. Unlike…

  blind and low vision · cooking accessibility · context awareness · object recognition · computer vision

• Image Recognition Tools for Blind and Visually Impaired Users: An Emphasis on the Design Considerations

  Sandra Fernando, Chiemela Ndukwe, Bal Virdee, Ramzi Djemai · 2025 · ACM Transactions on Accessible Computing

  This research examines the current landscape of image recognition tools (IRT) designed for blind and visually impaired users, evaluating their capabilities against user needs and ISO ergonomic design standards. The authors conducted both a comprehensive review of 21 existing…

  image recognition · computer vision · blind and low vision · assistive technology · AI

• The Future of Urban Accessibility: The Role of AI

  Jon E. Froehlich, Chu Li, Maryam Hosseini, Fabio Miranda, Andres Sevtsuk, Yochai Eisenberg · 2024 · Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '24)

  This workshop paper examines the emerging role of artificial intelligence in designing equitable and accessible cities, transportation systems, and navigation tools for people with disabilities. The authors — spanning HCI, urban planning, public health, and accessibility…

  urban accessibility · artificial intelligence · smart cities · autonomous vehicles · pedestrian infrastructure

• Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study

  Bhanuka Gamage, Leona Holloway, Nicola McDowell, Thanh-Toan Do, Nicholas Price, Arthur Lowery, Kim Marriott · 2024 · ASSETS '24: Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper reveals a significant research gap in assistive technology for people with cerebral visual impairment (CVI) through a scoping review and focus studies. CVI is caused by damage to the brain's visual processing centres rather than the eyes themselves, making it…

  cerebral visual impairment · CVI · vision-based assistive technology · computer vision · augmented reality

• Understanding How Blind Users Handle Object Recognition Errors: Strategies and Challenges

  Jonggi Hong, Hernisa Kacorri · 2024 · ASSETS '24: Proceedings of the 26th International ACM SIGACCESS Conference on Computers and Accessibility

  This paper investigates how blind and low-vision users interact with object recognition systems, specifically focusing on how they identify and handle recognition errors. While object recognition technologies powered by computer vision and machine learning have enormous…

  blind users · object recognition · AI errors · computer vision · camera-based assistive technology

• Using Convolutional Neural Networks for Visual Sign Language Recognition: Towards a system that provides instant feedback to learners of sign language

  Rami Aldahir, Ronald R. Grau · 2024 · Proceedings of the 21st International Web for All Conference (W4A)

  This short paper presents a prototype system that uses computer vision and a convolutional neural network (CNN) to recognize finger-spelled letters in British Sign Language (BSL), providing real-time feedback to learners. The system addresses a gap in sign language instruction:…

  sign language · British Sign Language · computer vision · deep learning · fingerspelling

• ImageExplorer Deployment: Understanding Text-Based and Touch-Based Image Exploration in the Wild

  Ruolin Xu, Yuxuan Cai, Shuying Hou, Yu-Jung Chang, Anhong Guo · 2024 · Proceedings of the 21st International Web for All Conference (W4A)

  This paper presents the real-world deployment and evaluation of ImageExplorer, an iOS application that enables blind and low-vision users to explore images through two complementary modalities: text-based sequential exploration and touch-based spatial exploration. The app was…

  image accessibility · screen readers · touch exploration · blind users · image description

• Co-design of Robotic Technology with Care Home Residents and Care Workers

  Helena Anna Frijns, Ralf Vetter, Matthias Hirschmanner, Reinhard Grabler, Laura Vogel, Sabine Theresia Koeszegi · 2024 · Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA)

  This paper documents a co-design workshop series conducted at two care homes in Austria, involving 25 participants: 13 care workers (mean age 43.5) and 12 care home residents (mean age 80.6). The research question was whether introducing technology components — rather than…

  co-design · participatory design · older adults · care homes · robotics

• UIClip: A Data-driven Model for Assessing User Interface Design

  Jason Wu, Yi-Hao Peng, Xin Yue Amanda Li, Amanda Swearngin, Jeffrey P. Bigham, Jeffrey Nichols · 2024 · Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology (UIST '24)

  This paper introduces UIClip, a computational model that automatically assesses UI design quality and visual relevance from a screenshot and natural language description. Built on OpenAI's CLIP B/32 architecture (151 million parameters), UIClip is fine-tuned on a novel…

  UI design · machine learning · design quality assessment · computer vision · CLIP

• Towards Automated Accessibility Report Generation for Mobile Apps

  Amanda Swearngin, Jason Wu, Xiaoyi Zhang, Esteban Gomez, Jen Coughenour, Rachel Stukenborg, Bhavya Garg, Greg Hughes, Adriana Hilliard, Jeffrey P. Bigham, Jeffrey Nichols · 2024 · ACM Transactions on Computer-Human Interaction

  This paper presents a system for automatically generating whole-app accessibility reports for mobile apps, addressing key limitations of existing accessibility scanning tools. The work begins with formative interviews with eight accessibility QA professionals at a large…

  automated testing · accessibility testing · mobile accessibility · app crawling · machine learning

• Snap&Nav: Smartphone-based Indoor Navigation System For Blind People via Floor Map Analysis and Intersection Detection

  Masaya Kubota, Masaki Kuribayashi, Seita Kayukawa, Hironobu Takagi, Chieko Asakawa, Shigeo Morishima · 2024 · Proceedings of the ACM on Human-Computer Interaction (MobileHCI)

  Snap&Nav is a smartphone-based indoor navigation system for blind travellers that works in any building with a visible floor map, without requiring the building owner to pre-build a digital map, install BLE beacons, or deploy any other localisation infrastructure. The authors…

  blindness and low vision · indoor navigation · wayfinding · map-less navigation · intersection detection