Over the past decade, considerable research has investigated Vision-Based Assistive
Technologies (VBAT) to support people with vision impairments to understand and interact …

Engaging in recreational activities in public spaces poses challenges for blind people, often
involving dependency on sighted help. Window shopping is a key recreational activity that …

Existing visual assistive technologies are built for simple and common use cases, and have
few avenues for blind people to customize their functionalities. Drawing from prior work on …

The existing digital image recognition technologies available for blind individuals are
commercially accessible but still at an immature stage, necessitating enhancements in their …

To enable people with visual impairments (PVI) to explore shopping malls, it is important to
provide information for selecting destinations and obtaining information based on the …

Individuals with low vision (LV) frequently face challenges in scanning performance, which
in turn complicates daily activities requiring visual recognition. Although those with PVL can …

Blind people use artificial intelligence-enabled visual assistance technologies (AI VAT) to
gain visual access in their everyday lives, but these technologies are embedded with errors …

Recent developments on artificial intelligence (AI) and machine learning (ML) techniques
are expected to have significant impact on public health in several ways. Indeed, modern …

Object recognition technologies hold the potential to support blind and low-vision people in
navigating the world around them. However, the gap between benchmark performances and …

Blind people are often called to contribute image data to datasets for AI innovation with the
hope for future accessibility and inclusion. Yet, the visual inspection of the contributed …