Assistive Technology Rehabilitation Research
At NYU Langone’s Rusk Rehabilitation, John-Ross (J.R.) Rizzo, MD, MSCI, leads the Rehabilitation Engineering Alliance and Center Transforming Low Vision (REACTIV) laboratory, where his research focuses on assistive technology designed to help people who are visually impaired.
The REACTIV laboratory serves people who are legally blind or have low vision and civil servants who transiently have their visual system incapacitated, such as military personnel conducting night operatives, firefighters who have to navigate through smoke-filled buildings, and police officers who are left vulnerable in low-light conditions.
Our team focuses on advanced wearables for the sensory deprived (permanent or transient) and benefits from Dr. Rizzo’s own personal experiences with vision loss. The laboratory’s central hypothesis is that wearables support spatial cognition in visually impaired populations, augmenting personal freedom and agency, and promoting health and wellbeing. Our long-term goal is to develop wearables with a suite of tailorable, forward compatible microservices that enable functional independence for the visually impaired.
People who are visually impaired face mobility restrictions because of inaccessible environments. Even in structured settings, people with low vision may still have trouble navigating efficiently and safely because of hallway and threshold ambiguity. Dr. Rizzo and his team are working to take assistive technology to the next level.
Recent Publications
Reducing barriers through education: A scoping review calling for structured disability curricula in surgical training programs
American journal of surgery. 2025 Jan ; 239:116062
Navigation Training for Persons With Visual Disability Through Multisensory Assistive Technology: Mixed Methods Experimental Study
JMIR rehabilitation & assistive technologies. 2024 Nov 18; 11:e55776
The criticality of reasonable accommodations: A scoping review revealing gaps in care for patients with blindness and low vision
American journal of surgery. 2024 Nov 13; 241:116085
Evaluating the efficacy of UNav: A computer vision-based navigation aid for persons with blindness or low vision
Assistive technology. 2024 Aug 13; 1-15
A Multi-Modal Foundation Model to Assist People with Blindness and Low Vision in Environmental Interaction
Journal of imaging. 2024 Apr 26; 10:
Disparities in Care for Surgical Patients with Blindness and Low Vision: A Call for Inclusive Wound Care Strategies in the Post-Operative Period
Annals of surgery. 2024 Apr 25;
Feasibility and Clinician Perspectives of the Visual Symptoms and Signs Screen: A Multisite Pilot Study
Topics in geriatric rehabilitation. 2024 Jan 01; 40:69-76
Accuracy and Usability of Smartphone-Based Distance Estimation Approaches for Visual Assistive Technology Development
IEEE open journal of engineering in medicine & biology. 2024 Mar ; 5:54-58