I am a fresh Ph.D. in Computer Science from KAIST, with also a CS undergrad background. My specialty is in applied machine learning for sensing devices & user experience (UX) design and analysis. My doctoral research spanned multiple domains, including XR, eye tracking, gaze analysis, wearable haptics, and user experience evaluation.
Selected Publications
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
Awards & Honor
Best Paper Honorable Mention Award, ACM UIST 2025
Presenting "TwinSpin: A Virtual Ball in a VR Controller Enabling In-Hand 3DoF Rotation"
Best Demo Award, Jury's Choice, ACM CHI 2022
Demonstrating “QuadStretch: A Forearm-wearable Multi-dimensional Skin Stretch Display for Immersive VR Haptic Feedback”
Invited Talks
Haptics, Text Entry, and Gaze Interaction, Mar 2024
Introduction to HCI, UNIST
Haptics, Text Entry, and Gaze Interaction, Mar 2024
Interactive Wearable Computing Class, KAIST
Interface Control with Eye Movement, Mar 2023
High-Beams seminar series, University College London
Interface Control with Eye Movement, Nov 2022
Stanford HCI Lunch, Stanford University
Interface Control with Eye Movement, Nov 2022
DGP Lab, University of Toronto