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