My research examines how older adults perceive, adopt, and question technologies designed for aging. I am interested in the conditions under which trust in these systems is built, withheld, and repaired, and in what appropriate reliance should look like when the systems involved are driven by AI.
As a Graduate Research Assistant at NJIT, I study human-AI collaboration with an emphasis on transparency and explainability for non-expert users. I work primarily with qualitative and mixed methods, and I translate what I learn into design guidance for systems that are more legible, more respectful of user agency, and more accessible.
The first peer-reviewed paper from this research, Towards Designing for (Dis)Trust in Technologies for Aging, was accepted to ACM ASSETS 2026. See Publications for the full citation.