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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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  • 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

  • VisualAid: Enhancing Accessibility for Visually Impaired Users Through AI

    Wajdi Aljedaani, Sijo Rejigeorge, Priya Jha, Srija Yadavalli, Manikanta Kothakota, Marcelo M. Eler, Abdulrahman Habib · 2025 · Proceedings of the 22nd International Web for All Conference (W4A)

    This technical note presents VisualAid, an AI-powered Android application designed to help visually impaired users understand and navigate their physical surroundings. The app integrates multiple AI technologies into a single mobile interface: YOLO11x for real-time object…

    visual impairment · object detection · image captioning · OCR · voice interaction

  • 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

  • A Demonstration of RASSAR: Room Accessibility and Safety Scanning in Augmented Reality

    Xia Su, Kaiming Cheng, Han Zhang, Jaewook Lee, Wyatt Olson, Jon E. Froehlich · 2023 · Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

    This demo paper introduces RASSAR (Room Accessibility and Safety Scanning in Augmented Reality), a mobile AR application that semi-automatically identifies, localizes, and visualizes indoor accessibility and safety issues using iPhone LiDAR sensors and real-time computer vision.…

    augmented reality · computer vision · indoor accessibility · object detection · LiDAR

  • VisPhoto: Photography for People with Visual Impairments via Post-Production of Omnidirectional Camera Imaging

    Naoki Hirabayashi, Masakazu Iwamura, Zheng Cheng, Kazunori Minatani, Koichi Kise · 2023 · Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

    This paper introduces VisPhoto, a novel photography system that fundamentally reimagines how people with visual impairments (PVI) take photographs. Rather than helping users aim a conventional camera at a target in real-time (the dominant approach in prior work), VisPhoto…

    visual impairment · blindness · photography · computer vision · object detection

  • 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

  • AIGuide: Augmented Reality Hand Guidance in a Visual Prosthetic

    Sooyeon Lee, Chien Wen Yuan, So-yeon Yoon, John M. Carroll · 2022 · ACM Transactions on Accessible Computing

    AIGuide is an iOS smartphone application designed as a "visual prosthetic" to help people with visual impairments locate and physically reach objects in their environment. The app addresses what the authors call the "last meter problem"—while existing object detection apps like…

    augmented reality · visual impairment · object detection · hand guidance · multimodal feedback

  • Screen Recognition: Creating Accessibility Metadata for Mobile Applications from Pixels

    Xiaoyi Zhang, Lilian de Greef, Amanda Swearngin, Samuel White, Kyle Murray, Lisa Yu, Qi Shan, Jeffrey Nichols, Jason Wu, Chris Fleizach, Aaron Everitt, Jeffrey P. Bigham · 2021 · CHI Conference on Human Factors in Computing Systems

    This paper from Apple introduces Screen Recognition, a system that automatically generates accessibility metadata for mobile apps by analyzing their visual pixels, enabling screen readers to work with apps that lack proper developer-provided accessibility information. The…

    mobile accessibility · screen readers · machine learning · object detection · VoiceOver

  • BlindPilot: A Robotic Local Navigation System that Leads Blind People to a Landmark Object

    Seita Kayukawa, Tatsuya Ishihara, Hironobu Takagi, Shigeo Morishima, Chieko Asakawa · 2020 · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20, Late-Breaking Work)

    Most indoor-navigation research for blind travellers has focused on what the authors call 'global' navigation — getting from a building entrance to a room, gate, or exhibit. The 'last few metres' of the journey, a body-scale interaction with a specific landmark object such as an…

    local navigation · landmark object · blind navigation · indoor navigation · assistive robotics

10 results.