Welcome to HCI TECH LAB!

Pioneering Embodied and Physical Human–AI Interaction

The Human-Centered Interactive Technologies Lab (HCI Tech Lab) is a multidisciplinary research group at KAIST. Our mission is to empower human potential by bridging the physical and digital worlds through embodied intelligence (Physical AI) and immersive technologies (XR).

Our research focuses on:
  • Advanced Sensing Technology
  • Multimodal Haptic Technology
  • Authoring User Experience

News

Latest news from HCI Tech LabAll News ↗
Publication
Two papers accepted to CHI 2026
Jan 20 2026
Two papers from HCI Tech Lab have been accepted to CHI 2026. Congratulations to Kun-woo Song, Dohui Lee, and Youngrae Kim!
Publication
A paper accepted to IEEE TVCG
Jan 2, 2026
Our paper AquaHaptics: Hand-based Multimodal Haptic Interactions for Immersive Virtual Underwater Experience led by Soyeong Yang is accepted to IEEE Transactions on Visualization and Computer Graphics (TVCG).
Publication
A paper accepted to IEEE TVCG
Dec 7, 2025
Our paper ForceCtrl: Hand-Raycasting with User-Defined Pinch Force for Control-Display Gain Application led by Seo Young (co-advised by Prof. Woontack Woo) and Junghoon is accepted to IEEE Transactions on Visualization and Computer Graphics (TVCG).
PositionClosed
Winter 2026 Undergraduate Research Internship
Nov 7 2025
We are looking for research interns (including URP) for 2025 Winter. Application deadline is Nov 18th. You can find more information here.

Lab Introduction Video

Research

Highlighted & Recent Publications from HCI Tech Lab

Selected Publication

All Publication ↗
CHI2025

HapticGen: Generative Text-to-Vibration Model for Streamlining Haptic Design

Youjin Sung*, Kevin John*, Hasti Seifi**, Sang Ho Yoon**

Recent Publication

All Publication ↗
ForceCtrl: Hand-Raycasting with User-Defined Pinch Force for Control-Display Gain Application
IEEE Transactions on Visualization and Computer Graphics (TVCG)
Moving-Press: Pressure-based Moving Phantom Sensation for Immersive VR Hand Interaction
ACM IMWUT (UbiComp/ISWC 2026)
Visuo-Tactile Feedback with Hand Outline Styles for Modulating Affective Roughness Perception
IEEE Transactions on Visualization and Computer Graphics (TVCG/ISMAR2025)
Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation
NeurIPS 2024