Taejun Kim

I recently completed my Ph.D. in Computer Science from KAIST. My specialty is in applied machine learning for mobile and wearable devices & HCI methods for user study and analysis. My doctoral research spanned multiple domains, including eye tracking, extended reality, and wearable haptics.

Selected Publications

HiFiGaze: Improving Eye Tracking Accuracy Using Screen Content Knowledge 🏆

CHI 2026: ACM Conference on Human Factors in Computing Systems

Taejun Kim, Vimal Mollyn, Riku Arakawa, Chris Harrison

Paper | Video

Tension&Gaze: Gaze-Responsive UI Gated by Finger Tension

UIST 2025 Demo: ACM Symposium on User Interface Software and Technology

Taejun Kim, Ludwig Sidenmark, Parastoo Abtahi, Jisu Yim, YoungIn Kim, Geehyuk Lee

Paper | DOI | Video

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 | Video | Code & Open Hardware

STAR: Smartphone-Analogous Typing in Augmented Reality

UIST 2023: ACM Symposium on User Interface Software and Technology

Taejun Kim, Amy Karlson, Aakar Gupta, Tovi Grossman, Jason Wu, Parastoo Abtahi, Christopher Collins, Michael Glueck, Hemant Bhaskar Surale

Paper | Video

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

Paper | Video | Code | Project

Heterogeneous Stroke: Using Unique Vibration Cues to Improve the Wrist-Worn Spatiotemporal Tactile Display

CHI 2021: ACM Conference on Human Factors in Computing Systems

Taejun Kim, Youngbo Aram Shim, Geehyuk Lee

Paper | Video | Code