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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

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