Unseen City Canvases: Exploring Blind and Low Vision People's Perspectives on Urban and Public Art Accessibility

A research team from the University of Washington and University of Maryland has published a groundbreaking Human-Computer Interaction (HCI) study, 'Unseen City Canvases,' exploring a largely neglected area: how blind and low-vision (BLV) people want to access urban and public art. Moving beyond prior research focused on museums or navigation aids, the team interviewed 16 BLV participants, using AI-generated descriptions and real-time AI interactions as probes to understand preferences for discovering and engaging with street art, murals, and sculptures.

The study revealed that BLV individuals highly value the spontaneity of encountering art in the city and desire rich, multisensory engagement—tactile, auditory, and olfactory—beyond visual description. However, the research uncovered significant, context-specific challenges. In public spaces, safety concerns (like navigating traffic or crowds) often take precedence over art exploration. Proposed multisensory solutions (like soundscapes) could be disruptive to others sharing the space. Most critically, the team found that inaccurate or generic AI descriptions risked erasing the cultural and political significance of artwork, highlighting a major ethical pitfall for assistive technology.

Based on these insights, the researchers contributed seven key design dimensions for future public art access solutions. Their work pushes the field of urban accessibility research beyond physical navigation to include cultural and recreational participation, offering a crucial framework for technologists and city planners aiming to build more inclusive smart cities.