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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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  • Improving Mealtime Experiences of People with Visual Impairments

    SeungA Chung, Soobin Park, Sohyeon Park, Kyungyeon Lee, Uran Oh · 2021 · Proceedings of the 18th International Web for All Conference (W4A)

    This paper investigates the mealtime challenges faced by people with visual impairments (PVI) and explores how assistive technology can support more independent dining experiences. While most accessibility research for PVI has focused on navigation and object recognition, this…

    visual impairment · assistive technology · independent living · daily living · computer vision

  • Slidecho: Flexible Non-Visual Exploration of Presentation Videos

    Yi-Hao Peng, Jeffrey P Bigham, Amy Pavel · 2021 · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '21)

    This paper presents Slidecho, a system that makes recorded presentation videos accessible to blind and visually impaired learners by automatically extracting slide content and synchronizing it with the presenter's speech. The core problem is that most presentation videos —…

    video accessibility · blind and low vision · audio description · presentations · screen reader

  • Designing Tools for High-Quality Alt Text Authoring

    Kelly Mack, Edward Cutrell, Bongshin Lee, Meredith Ringel Morris · 2021 · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '21)

    This paper investigates how to improve the quality of alternative text through better authoring interfaces and feedback mechanisms for automatic alt text, focusing on Microsoft PowerPoint as the application context. The researchers built and tested four prototype interfaces: two…

    alt text · image accessibility · screen readers · authoring tools · automatic alt text

  • Accessing Passersby Proxemic Signals through a Head-Worn Camera: Opportunities and Limitations for the Blind

    Kyungjun Lee, Daisuke Sato, Saki Asakawa, Chieko Asakawa, Hernisa Kacorri · 2021 · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '21)

    This paper explores the potential and limitations of using head-worn cameras with computer vision to help blind people access proxemic signals — the spatial behaviour of nearby people that sighted individuals perceive visually, such as someone's presence, distance, relative…

    blind and low vision · proxemics · wearable camera · smart glasses · pedestrian detection

  • Going Beyond One-Size-Fits-All Image Descriptions to Satisfy the Information Wants of People Who are Blind or Have Low Vision

    Abigale Stangl, Nitin Verma, Kenneth R. Fleischmann, Meredith Ringel Morris, Danna Gurari · 2021 · ASSETS '21: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility

    Current image description practices typically produce a single, one-size-fits-all description for each image, yet the same image can appear across vastly different contexts — news websites, e-commerce platforms, social media feeds, travel sites, and personal photo libraries —…

    image description · alternative text · blind · low vision · context-aware

  • Deep Learning Methods for Sign Language Translation

    Tejaswini Ananthanarayana, Priyanshu Srivastava, Akash Chintha, Akhil Santha, Brian Landy, Joseph Panaro, Andre Webster, Nikunj Kotecha, Shagan Sah, Thomastine Sarchet, Raymond Ptucha, Ifeoma Nwogu · 2021 · ACM Transactions on Accessible Computing

    This comprehensive study evaluates deep learning methods for translating sign language video directly to spoken/written text—critically, without requiring the intermediate step of gloss-based recognition (manual sign-for-sign transcription). The researchers systematically…

    sign language · machine translation · deep learning · transformer · neural network

  • Iterative Design of Sonification Techniques to Support People with Visual Impairments in Obstacle Avoidance

    Giorgio Presti, Dragan Ahmetovic, Mattia Ducci, Cristian Bernareggi, Luca A. Ludovico, Adriano Baratè, Federico Avanzini, Sergio Mascetti · 2021 · ACM Transactions on Accessible Computing

    This paper presents WatchOut, a sonification system that conveys real-time obstacle information to blind or visually impaired (BVI) people through non-verbal audio cues. While white canes detect obstacles only within about 1 meter and miss elevated hazards, computer vision on…

    visual impairment · blindness · sonification · obstacle avoidance · orientation and mobility

  • Effect of Sign-recognition Performance on the Usability of Sign-language Dictionary Search

    Saad Hassan, Oliver Alonzo, Abraham Glasser, Matt Huenerfauth · 2021 · ACM Transactions on Accessible Computing

    This paper investigates how the performance of sign-language recognition technology affects user satisfaction with ASL dictionary search systems. Unlike written languages where users can type unfamiliar words to look them up, ASL learners who encounter an unfamiliar sign cannot…

    American Sign Language · ASL · sign language recognition · dictionary search · information retrieval

  • Screen Parsing: Towards Reverse Engineering of UI Models from Screenshots

    Jason Wu, Xiaoyi Zhang, Jeff Nichols, Jeffrey P. Bigham · 2021 · The 34th Annual ACM Symposium on User Interface Software and Technology (UIST)

    This paper introduces screen parsing, the task of predicting UI elements and their hierarchical relationships from a screenshot alone. While prior work could detect individual UI elements on a screen (element detection), those approaches produced flat lists of elements with no…

    screen readers · mobile accessibility · computer vision · UI semantics · machine learning

  • 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

10 results.