I am a fresh Ph.D. in Computer Science from KAIST. My specialty is in applied machine learning for physical interfaces & HCI methods for user study and analysis. My doctoral research spanned multiple domains, including eye tracking, gaze analysis, XR/VR, and haptics.
Selected Publications
HiFiGaze: Improving Eye Tracking Accuracy Using Screen Content Knowledge (To Appear)
CHI 2026: ACM Conference on Human Factors in Computing Systems
Taejun Kim, Vimal Mollyn, Riku Arakawa, Chris Harrison
Paper [TBU] | DOI [TBU] | Video [TBU]
QuadStretcher: A Forearm-Worn Skin Stretch Display for Bare-Hand Interaction in AR/VR
CHI 2024: ACM Conference on Human Factors in Computing Systems
Taejun Kim, Youngbo Shim, YoungIn Kim, Sunbum Kim, Jaeyeon Lee, Geehyuk Lee
Paper | DOI | Video | Code & Open Hardware
Lattice Menu: A Low-Error Gaze-Based Marking Menu Utilizing Target-Assisted Gaze Gestures on a Lattice of Visual Anchors
CHI 2022: ACM Conference on Human Factors in Computing Systems
Taejun Kim, Auejin Ham, Sunggeun Ahn, Geehyuk Lee