Education

Korea Advanced Institute of Science and Technology
2024 - Present
Graduate School of Culture Technology M.S.

Hanyang University
2020 - 2023
Information Systems B.S
M.S. Student in HCI Tech Lab at KAIST
Hello, I am a master's student in Human-Centered Interactive Technologies Laboratory at the Graduate School of Culture Technology, KAIST under the supervision of Prof. Sang ho Yoon.
My research interest lie in gaze-based behavior and gaze-hand multimodal interaction. I am particularly fascinated by how eye movements can be used to anticipate user intentions and enhance interactive systems.
2024 - Present
Graduate School of Culture Technology M.S.
2020 - 2023
Information Systems B.S
[Korea Computer Congress (KCC) 2024]
[HCI Korea 2025]
[HCI Korea 2025]
[Korea Computer Graphics Society (KCGS) 2025]
GCT501 Culture Technology|2024 Spring|Kyoungwhan Mheen, Kangeun Lee, Hyungwoo Jin, Danbinaerin Han
The "WhatIf" project combines Generative AI and Augmented Reality (AR) to create an immersive Tabletop Role-Playing Game (TRPG). By blending physical and digital elements, the game reimagines classic tales, offering players dynamic narratives and interactive gameplay, with the freedom and creativity similar to popular strategy games like "Civilization."
GCT623 Interaction Sensing Principle & Application|2024 Spring|Kyoungwhan Mheen, Min-yung Kim
PreGraspHelper is an innovative interaction concept designed for virtual reality (VR) environments, where it aids in object manipulation before grasping. By detecting a user's intent through gaze fixation on a handle, the system automatically rotates the virtual object into an optimal position for grasping.
CTP445 Augmented Reality|2024 Spring|KAIST
Worki‐Yo is an AR‐based system designed to enhance office worker health by addressing ergonomic issues from prolonged desk work. Six validated exercises—linear (blue frame) and angular (red frame)—use color‐mapped velocity data to guide users. Wrist/Elbow, Pectoral, and Upper/Lower Back stretches are linear; Upper Body Twist, Shoulder, and Trunk stretches are angular. A velocity comparison reveals distinct movement patterns for each group. By integrating hand tracking, 3D trajectory feedback, and real‐time overlays, Worki‐Yo helps users maintain proper form and correct asymmetries.
GCT565 Augmented Humans|2025 Autumn|KwangBin Lee, Jihun Chae
PeekaBoo is a VR horror prototype that leverages multiple LLMs—such as an Actor, Rule Maker, and Self-Reflection module—working together to dynamically adapt fear elements in real time. By monitoring player gaze and behavior in Unity, each LLM refines or creates new "rules" based on a document-based memory system. This ensures prior interactions remain accessible for future decisions, ultimately delivering a more immersive and personalized horror experience.
GCT550 Augmented Reality|2025 Autumn|김현우, 고희정
Flace is a system that integrates Wall Display and AR HMDs to support multi‐user viewing and personalized experiences. In the open viewing zone, visitors (with or without HMDs) share a communal display. In the docent interaction zone, AR HMDs and eye‐tracking enable asynchronous commentary and individualized guidance, enhancing engagement and accuracy. By providing both shared and personal interaction spaces, Flace shows promise for traditional museums and emerging Meta‐Museum contexts featuring remote or interactive exhibits.
2023.01.01.~ Present (CEO, Frontend/Backend Developer)
Crypto Aggregation & Algorithm Trading(Co. MK Associates)
2023.03.01. ~ 2023.07.31.
Under the supervision of Prof. Youngjoon Won,
Blockchain Application Research (NFT Transaction Anlz.)
2022.06.22. ~ 2022.08.31.
Under the supervision of Dr. Lim Yoonseob
2021.03.01. ~ 2021.12.31.
FORIF Design Committe (2020.09.01. ~ 2020.12.31.)
FORIF Vice President (2022.03.01. ~ 2022.07.31.)
FORIF Administrator (2022.09.01. ~ 2022.12.31.)
FORIF C, Python, Data Analysis, Web Crawling, LLM Study Mentor (2021.03.01.~2023.07.31.)
"My beloved club, where the heart of my university life truly resides"
2021.12.31. (AI Devloper, UI/UX Designer)
Under the supervision of Prof. Youngjoon Won, YOLO based Pill Recognition System