projects
Multimodal Health Sensing
Designing tools to support personalized, holistic health understanding using menstrual health as a case study.
🎯 Problem
Users struggle to make sense of fragmented, complex health data due to tools not supporting holistic understanding or personal context
🔬 Approach
Designed and deployed a prototype app integrating user-tracked hormones, wearables, and reflections to support multimodal menstrual health sensemaking
📊 Impact
Highlighted the challenges of interpreting complex multimodal data and offered design implications to help users align personal mental models with physiological signals
Smart Cooking Assistant
Context-aware AI assistant for hands-free cooking interactions and video tutorial support
Modeling Wearable and Physiological Data Relationships
Building models to capture physiological variations across the menstrual cycle
Industrial AR for Warehouses
Optimizing order picking efficiency through head-worn display positioning and interface design
Accessible Real-Time Captioning
Captioning on Glass (CoG) for deaf and hard-of-hearing users using head-worn displays such as Google Glass
