Medical & Automotive AI - Caltech
: Context-Aware UX using Diverse Sensors
Led an independent LLM-AI research at Caltech to design an in-vehicle health UX system bridging automotive and healthcare, using robotics and 15+ medical material types.
Client
Independent Project
Role
Product Designer, PM
Team
1 Product Designer, PM / 2 Caltech postdocs
Period
3 month, 2025
Overview
Led an independent project at Caltech to develop a next-generation AI/ML and LLM-powered in-vehicle health UX system bridging automotive and medical domains. The research explored context-aware interaction using biosignals and 15+ types of medical materials to deliver seamless, adaptive user experiences. I directed end-to-end UX planning, designed cross-domain interfaces, and collaborated closely with Caltech postdocs on prototyping and validation.
What I did
Project management, UX planning, Research, UI Design: Wireframe, Prototyping
Challenge
Despite growing sensor capabilities in vehicles, most systems lack intuitive, human-centered health monitoring that fits naturally into the driving experience.
Objective
Design a health-focused in-vehicle UX that integrates AI/ML sensing and interaction without interrupting driving flow, while aligning with medical and ethical standards.
Result
Developed a context-aware UX framework for real-time in-vehicle health monitoring. Collaborated with Caltech postdocs on prototyping and validation.
More detail
So, I led LLM-based UX research at Caltech, integrating biosignal sensing and robotics in medical and automotive contexts—navigating ambiguity across disciplines.
I’ll walk you through the details during our meeting