People with visual impairments face numerous challenges in their daily lives,
including mobility, access to information, independent living, and employment.
Artificial Intelligence (AI) with Computer Vision (CV) has the potential to
improve their daily lives, provide them with necessary independence, and it
will also spawn new opportunities in education and employment. However, while
many such AI/CV-based mobile applications are now available, these apps are
still not the preferred choice amongst visually impaired persons and are
generally limited to advanced users only, due to certain limitations. This
study evaluates the challenges faced by visually impaired persons when using
AI/CV-based mobile apps. Four popular AI/CV- based apps, namely Seeing AI,
Supersense, Envision and Lookout, are assessed by blind and low-vision users.
Hence these mobile applications are evaluated on a set of parameters, including
generic parameters based on the Web Content Accessibility Guidelines (WCAG) and
specific parameters related to mobile app testing. The evaluation not only
focused on the guidelines but also on the feedback that was gathered from these
users on parameters covering the apps' accuracy, response time, reliability,
accessibility, privacy, energy efficiency and usability. The paper also
identifies the areas of improvement in the development and innovation of these
assistive apps. This work will help developers create better accessible
AI-based apps for the visually impaired.Comment: 13 pages, 12 tables, Published in ITU Journal on Future and Evolving
Technologies, Volume 4, Issue 4, December 2023,
https://www.itu.int/dms_pub/itu-s/opb/jnl/S-JNL-VOL4.ISSUE4-2023-A45-PDF-E.pd