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• I-VAMOS: Independent Voting with Accessible Multimodal Offline System for Visually Impaired Users

  Gyeongdeok Kim, Chungman Lim, Gyungmin Jin, Gunhyuk Park · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper introduces I-VAMOS, an offline multimodal voting assistance system designed to enable blind and low-vision (BLV) voters to cast paper ballots independently and secretly. The authors situate their work in the constitutional right to a secret ballot, noting that BLV…

  blind and low vision · voting · optical character recognition · multimodal feedback · auditory feedback

• 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

• "It is fascinating to make these beasts fly": Understanding Visually Impaired People's Motivations and Needs for Drone Piloting

  Vinitha Gadiraju, Sanika Moharana, Aisha Azhar, Kimberley Gans, Shane T. Mueller, Jenna L. Gorlewicz · 2021 · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '21)

  This paper investigates the motivations, interests, and accessibility needs of blind and visually impaired (BVI) people regarding drone piloting. While drones have been explored as assistive tools for BVI users — helping with navigation, obstacle detection, and environment…

  visual impairment · blindness · drones · assistive technology · accessible interaction

• Strategic Design for Users with Diabetic Retinopathy: Factors Influencing Performance in a Menu-Selection Task

  Paula J. Edwards, Leon Barnard, V. Kathlene Emery, Ji Soo Yi, Kevin P. Moloney, Thitima Kongnakorn, Julie A. Jacko, François Sainfort, Pamela R. Oliver, Joseph Pizzimenti, Annette Bade, Greg Fecho, Josephine Shallo-Hoffmann · 2004 · Proceedings of the 6th International ACM SIGACCESS Conference on Computers and Accessibility (Assets 04)

  This paper examines how interface design features affect menu selection performance for users with Diabetic Retinopathy (DR), a progressive eye condition affecting 40-45% of the approximately 18 million Americans with diabetes. The study involved 25 volunteers from Nova…

  diabetic retinopathy · low vision · visual impairment · multimodal feedback · menu design

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