Research & Design Portfolio · Ja Eun Yu, Ph.D.
I'm an HCI researcher with a Ph.D. from UIC. My work spans accessible mobile interfaces, voice assistants, LLM-supported navigation, and health information systems.
ASSETS 2020
17 older adults · 172 interaction problems · The core issue is discoverability, not motor skill
View project →ASSETS 2020 · CHI 2023
Query taxonomy · WoZ study · 88% used it · 77% recovered immediately
View project →CHI 2024
n=56 · 4 cue types · Highlight with context & weighted zoom eliminate the age gap
View project →CHI 2024
GPT-3 + Assist API · Platform-level · Works across any app · 95% accuracy
View project →An LLM-powered food safety information system for expectant mothers. Built from problem statement to deployment — crawling, reliability scoring, agentic AI augmentation, and full UX design lifecycle.
IoT · Mobile · SensingPersonal air pollution monitoring for older adults — tracking PM2.5 and ambient noise linked to cognitive impairment, combining a wearable sensing module with Chicago's city-wide sensor network.
AR · HMD · AndroidAR interaction technique for optical see-through displays — aim at distant real-world objects with an intentionally unfocused finger, using proprioception and ocular dominance.