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• Touching Movement: 3D Tactile Poses for Supporting Blind People in Learning Body Movements

  Kengo Tanaka, Xiyue Wang, Hironobu Takagi, Yoichi Ochiai, Chieko Asakawa · 2026 · Proceedings of the Twentieth International Conference on Tangible, Embedded, and Embodied Interaction (TEI '26)

  Tanaka and colleagues investigate whether 3D-printed tactile models of whole-body poses can help blind learners acquire physical movements that are normally taught through visual demonstration. Verbal descriptions are notoriously inconsistent and struggle to convey nuance, while…

  tactile graphics · 3D printing · blindness and low vision · visual impairment · physical activity

• 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

• MotionBuddy: Exploring Tactile-Based Motion Learning with a Tabletop Humanoid Robot for Blind People

  Kengo Tanaka, Xiyue Wang, Hironobu Takagi, Yoichi Ochiai, Chieko Asakawa · 2026 · Proceedings of the 21st ACM/IEEE International Conference on Human-Robot Interaction (HRI '26)

  This HRI 2026 study by the same team behind the earlier 3D tactile-pose work asks whether a tabletop humanoid robot can convey dynamic body movements to blind learners more effectively than audio instruction alone. The motivation is that physical 3D models and tactile graphics…

  human-robot interaction · humanoid robot · assistive robotics · blindness and low vision · visual impairment

• How Does Delegation in Social Interaction Evolve Over Time? Navigation with a Robot for Blind People

  Rayna Hata, Masaki Kuribayashi, Allan Wang, Hironobu Takagi, Chieko Asakawa · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Hata and colleagues run a three-week longitudinal study of how six blind participants delegate social navigation tasks to a guide robot in the Miraikan science museum. The paper pushes back against the default assumption that accessible navigation robots should be as autonomous…

  assistive robotics · navigation · blindness and low vision · visual impairment · shared control

• Robot-Assisted Group Tours for Blind People

  Yaxin Hu, Masaki Kuribayashi, Allan Wang, Seita Kayukawa, Daisuke Sato, Bilge Mutlu, Hironobu Takagi, Chieko Asakawa · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  Hu and colleagues investigate how an assistive mobile robot can support blind people's participation in mixed-visual group tours, where blind and sighted visitors share the same guided experience. The motivation is that group activities are central to social life, but blind…

  assistive robotics · museum accessibility · blindness and low vision · visual impairment · group activities

• Multi-Perspective Visual Contrastive Decoding for Reliable Assistance

  Bocheng Pan, Hailong Shi, Xingyu Gao · 2026 · ACM Transactions on Internet of Things

  This technical paper presents MPVCD (Multi-Perspective Visual Contrastive Decoding), a framework designed to address the reliability of AI-generated visual descriptions for people who are blind or have low vision (BLV). The core problem it tackles: when BLV users photograph…

  blindness and low vision · multimodal AI · image captioning · visual hallucination · assistive technology

• Bridging the Gap between Automated Intervention and Actual User Experience: A Mixed-Methods Study on Mobile Accessibility Issues for Screen Reader Users

  Syed Fatiul Huq, Ziyao He, Yirui He, Sam Malek · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper by Huq, He, He, and Malek (UC Irvine) argues that existing automated accessibility testing tools for mobile apps do not faithfully represent what blind screen reader users actually experience, and proposes a user-aware categorisation to bridge the gap. The…

  mobile accessibility · screen readers · TalkBack · automated accessibility testing · software 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

• How Multimodal Large Language Models Support Access to Visual Information: A Diary Study With Blind and Low Vision People

  Ricardo E. Gonzalez Penuela, Crescentia Jung, Sharon Lin, Ruiying Hu, Shiri Azenkot · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper reports a two-week diary study with 20 Blind and Low Vision (BLV) participants (ages 19–75, 11 female/9 male, 13 blind/7 low vision) investigating how multimodal large language models (MLLMs) support real-world access to visual information. The authors built…

  AI · accessibility · multimodal large language models · MLLM · visual question answering

• 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

10 results.