Understanding people through physical interaction
I am a master’s student in Artificial Intelligence at Kyung Hee University, working in the ITEM Lab.
I develop computational models of human perception, with a focus on touch. My goal is to use simulation-based optimization to personalize sensory feedback, making it easier to interpret and helping users interact more precisely.
My adviser is Seungjae Oh. I expect to complete my master’s degree in August 2027 and am interested in PhD opportunities in computational models of human perception and action.
Research · CV · About · Contact
Selected research
SwapSense
Characterizing perceptual differences between haptic modules · Accepted to UIST 2026
A reusable contact-force sensing system for swappable passive haptic modules. I contributed multidimensional scaling (MDS) analysis of the modules’ perceptual relationships.
Making Mid-air Button Contact Perceptible
Adapting feedback to pressing behavior · WHC 2025 Student Innovation Challenge
An adaptive vibrotactile feedback prototype for mid-air buttons. I led its design, implementation, and exploratory user evaluation.
Spacewalk
Designing VR interaction for a different body posture · Korean Haptics Conference 2024, poster
A locomotion technique and tactile feedback prototype for using virtual reality while lying down.
Research direction
My follow-up work explores how perceptual models, biomechanical simulation, and reinforcement learning could predict interaction behavior and guide personalized feedback design. Mid-air buttons provide a controlled starting point for asking how a person’s sensory experience, movement constraints, and task goals shape their actions.
Beyond research
I keep study notes and essays as part of how I learn and develop ideas.