area: health

This project is developing a system to provide personalized concern-specific breastfeeding guidance while helping them recognize when professional support is needed.

This project explores how AI systems can responsibly support youth mental health by strengthening connections to trusted sources of care with privacy, agency, and trust at the center.

This project integrates verbal interaction features into an exoskeleton-based to develop a virtual coach system that guides and provides real-time feedback on a bicep curl exercise to promote an engaging user experience.

This research aimed to address challenges in current Holter monitoring systems, including, arrhythmia misinterpretation due to missing context, low user engagement in ECG collection, and recall bias in patient-reported symptoms.

This research investigated the feasibility of the state-of-the-art voice assistant to support the self-report of mental health and wellbeing by assessing a conversational agent’s ability to capture the self-reports accurately and users’ perceived usability of the system in the real-world setting.