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AI-Accessibility

 

 

Research Statement

The AI-Accessibility project brings together faculty and student researchers from architecture, computer science, human sciences, and marketing, to design and test new building technologies which aim to maximize the functionality of artificially intelligent navigation aids for individuals with disability. In the spirit of university service (Ut Prosim) and universal design, the project team will work closely with stakeholders within and beyond the Virginia Tech community to explore the co-design of software and built space, deploying the latest advances in machine learning and material fabrication in high-impact recreational, residential, and institutional settings.

 

 

Smartguide App (feat. GPT-4V)

Pairing the team’s mobile app with Meta’s Aria glasses.
WEARABLES DEMO Testing indoor mapping of Meta’s Aria glasses.

“The image shows an indoor room corner with a door at the center, fitted with a window that has a bluegrey curtain tied in the middle. To the left, there is a small white table with various papers and a sanitizer bottle on top, above which is a suspended ceiling with a speaker. A step ladder, trash can, and some informational pamphlets on the wall are also visible. To the right, there’s a wall-mounted brochure holder with leaflets. The floor is a dark wood laminate. The setting appears to be a professional office or clinic waiting area.”

DESCRIPTION FEATURE Improved scene description using GPT-4v.

 

 

User Feedback

Working with community partners to optimize app accessibility.

 

 

Accessible Prototypes

Ergonomic handrail w/ indicator bump-out.
Braille-embossed handrail.
Tactile / 3D-printed (extruded clay) QR codes.

 

 

Community Engagement

Student researchers present accessible design prototypes to elderly, vision-impaired community members.

 

 

  • 2.2 billion people globally with near or distance visions impairment.1
  • 32.2 million Americans, 18 or older reported experiencing vision loss.2
  • 184,978 vision-impaired individuals in the stae of Virginia.3
  • 46.4% of vision-impaireed individuals in VA currently employed.4
  • The total U.S. economic burden of vision loss and blindness totalled $134.2 billion in 2022, $16.2 billion of which was due to reduced labor force participation.5
  • Approximately 15% of vision-impaired individuals are totally blind.6
  • The leading causes of blindness and low vision in the U.S. are age-related eye diseases (e.g. macular degeneration, cataract, diabetic retinopathy, and glaucoma).7
1 World Health Organization (WHO), “Blindness and vision impairment” (2023).
2 American Foundation for the Blind (AFB), “Facts and Figures on Adults with Vision Loss” (2020).
3 Ibid, “Virginia: Prevalence Rates of Vision Difficulty” (2019).
4 Commonwealth of Virignia Department for the Blind and Vision Impaired and the State Rehabilitation Council, “Comprehensive Statewide Needs Assessment Report”, p.69 (2020). 5 Centers for Disease Control (CDC), “The Economic Burden of Vision Loss and Blindness in the United States” (2022).
6 Ibid AFB, “Low Vision and Legal Blindness Terms and Descriptions” (2015).
7 Ibid CDC, “Common Eye Disorders and Diseases” (2022)

Dr. Andrew Gipe-Lazarou Co-PI, Accessibility + Design Lead Virginia Tech, School of Architecture

Dr. Luis Borunda Monsivais Co-PI, Technical Lead Virginia Tech, School of Architecture

Dr. Meng Zhu Co-PI, Marketing Lead Virginia Tech, Department of Marketing

Dr. Na Meng Co-PI, Technical Lead Virginia Tech, Department of Computer Engineering

Dr. Abhijit Sarkar Co-PI, Data + Analytics Virginia Tech Transportation Institute

Ralisa N. Dawkins Co-PI, Accessibility Virginia Tech, Department of Science and Technology in Society

Rishith Gandham Research Assistant Virginia Tech, Department of Computer Engineering

Shraddha Thanneeru  Research Assistant Virginia Tech, School of Architecture

Erin Harrigan Research Assistant Virginia Tech, School of Architecture

Tamia Barnes Research Assistant Virginia Tech, School of Architecture

The AI-Accessibility research team is currently exploring a variety of deployment opportunities with institutions for higher education aiming to facilitate on-campus navigation; local municipalities interested in more accessible and interactive public infrastructure; agencies and organizations promoting inclusive tourism and recreation; medical facilities aiming to improve quality of life care for disabled patients; and design professionals serving individuals with impairments of vision, mobility, and cognition. The team welcomes discussion with interested collaborators and solicitations for the deployment of our research. Please contact Andrew Gipe-Lazarou (lazarou@vt.edu) or Luis Borunda Monsivais (lborunda@vt.edu) for further information.