This research investigates the design and evaluation of a conversational AI system aimed at supporting the emotional well-being of older adults. The project explores how conversational interfaces can be tailored to age-related cognitive, emotional, and accessibility needs.

 

The study focuses on three core dimensions:

 

1. Designing emotionally adaptive dialogue systems that foster trust and therapeutic value.

2. Integrating visualization literacy and interactive analytics to provide transparent, user-explorable insights into emotional patterns.

3. Examining human–AI interaction models that enhance usability, engagement, and long-term adoption among aging populations.

 

Methodologically, the project combines user-centered design principles, prototype development, and planned qualitative usability evaluations.

 

Research Focus Areas:

Human-AI Interaction | Digital Mental Health | Inclusive Interface Design | Aging & Technology