This research project investigates the challenges faced by blind and low-vision (BLV) individuals in using digital technologies, particularly focusing on the usability and accessibility of voice assistant technologies. The study aims to identify key problems experienced by BLV users, analyze the limitations and recent developments in voice assistant technology, and co-create a solution aimed at enhancing the usability of voice assistants for non-visual users.

To achieve these objectives, a mixed-methods approach was employed, including a literature review, usability inspections, digital anthropology, as well as co-design sessions with Visio experts and prototype testing with BLV users to validate potential solutions. The research further explores how these solutions can be integrated into the existing support network, ensuring that the design not only addresses immediate usability concerns but is also sustainable and adaptable.

The findings highlight critical design tensions and opportunities for future iterations of the prototype, particularly in terms of attainability, trust, and user agency. This research provides valuable insights for designers and stakeholders aiming to create more inclusive digital tools for the BLV community, offering a roadmap for embedding these solutions within broader support systems.