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“I WANT access to public buildings and technologies.” “I WANT all stairs to have railings.” “I WANT talking pedestrian signs.” “I WANT curbs to be more noticeable.” “I WANT tech¬nology dedicated to the blind.” These statements from young, vision-impaired learners participating in our human-centered research and participatory design initiatives highlight their desire for more inclusive space-making. This paper investi¬gates the role of advanced technological interventions and participatory design in shaping the future of architecture. Navigational autonomy in built environments is a significant challenge for individuals with vision impairments and is often exacerbated by traditional design practices that do not adequately address their specific needs. Through a participa¬tory design approach, this research integrates direct inputs from vision-impaired participants to guide the development and refinement of an AI-Accessibility application. We employ advanced machine learning techniques, including computer vision and natural language processing, developed and refined through real-world applications at Virginia Tech’s annual blind design workshop, along with interviews and focus groups with stakeholders. The feedback gathered from these user experiences was instrumental in refining the system’s func¬tionality, ensuring its practical utility and meeting the needs of beneficiaries. Our research outlines key design principles and underscores the practical benefits of an emerging disciplinary domain that we refer to as “AI-Accessibility.” We advocate for a reevalua¬tion of design education and industry standards, emphasizing a shift toward greater inclusivity. We propose an equitable approach to technology and design development, highlighting the essential role of interdisciplinary efforts in creating acces¬sible public infrastructures with advanced technologies that enhance the quality of life for all.

Volume Editors

ISBN
978-1-944214-49-4