AI-Vision: A Three-Layer Accessible Image Exploration System for People with Visual Impairments in China

Accessible image exploration systems are able to help people with visual impairments (PVI) to understand image content by providing different types of interactions. With the development of computer vision technologies, image exploration systems are supporting more fine-grained image content processing, including image segmentation, description and object recognition. However, in developing countries like China, it is still rare for PVI to widely rely on such accessible system. To better understand the usage situation of accessible image exploration system in China and improve the image understanding of PVI in China, we developed AI-Vision, an Android based hierarchical accessible image exploration system supporting the generations of image general description, local object description and metadata information. Our 7-day diary study with 10 PVI verified the usability of AI-Vision and also revealed a series of design implications for improving accessible image exploration systems similar to AI-Vision. CCS Concepts: center dot Human-centered computing -> Accessibility systems and tools. Additional Key Words and Phrases: Visual Impairments, Accessible, Image Exploration Kaixing Zhao, Rui Lai, Bin Guo, Le Liu, Liang He, and Yuhang Zhao. 2024. AI-Vision: A Three-Layer Accessible Image Exploration System for People with Visual Impairments in China. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8, 3, Article 145 (September 2024), 27 pages. https://doi.org/10.1145/3678537