Seungwon Do

News

✦ Oct 2026 Transferred to the AI Safety Institute at ETRI.

✦ Mar 2026 Started my Ph.D. in Computer Science and Engineering at Seoul National University.

✦ Oct 2023 1 Project funded by Korean Defense Acquisition Program Administration has been started ^[AIMD]

✦ Dec 2022 1 Project funded by Korean Defense Acquisition Program Administration has been started ^[MumT]

✦ Jan 2022 1 Project funded by Korean Defense Acquisition Program Administration has been started ^[Micro]

✦ Nov 2021 1 paper has been accepted with minor revision at CHI '22 ^[MPnC]

✦ Oct 2021 1 paper has been accepted at NeurIPS '21 Datasets and Benchmarks Track ^[KLUE]

✦ Sep 2021 Presented 'Point-and-Click Simulation Model' online seminar at EIRIC

✦ May 2021 1 paper has been opened at arXiv ^[KLUE]

✦ May 2021 1 paper has received an Honorable Mention Award at CHI '21 ^[PnC] (Top 5%)

✦ Mar 2021 'Guitar Learning System Using Augmented Reality' patent has been registered

✦ Dec 2020 1 paper has been accepted at CHI '21 ^[PnC]

✦ Sep 2020 Started to work at ETRI, @Daejeon

✦ Aug 2020 Received a master's degree from KAIST, @Daejeon

✦ Dec 2019 1 paper has been accepted at CHI '20 ^[Virtual]

✦ Jul 2019 Participated Summer School on Computational Interaction, @NewYork

✦ Aug 2018 Received a bachelor's degree from POSTECH, @Pohang

About Me

Seungwon Do is a researcher at ETRI’s AI Safety Institute and a Ph.D. student in Computer Science and Engineering at Seoul National University. He received his B.S. in Electrical Engineering from POSTECH in 2018 and his M.S. in Culture Technology from KAIST in 2020. His research in human–computer interaction (HCI) focuses on computational interaction. His previous work in this area includes computational modeling of human perception and behavior, reinforcement learning–based user simulation, and interaction in virtual and augmented reality. He is also interested in AI safety. Previously, he worked on AI-based situation awareness for defense applications at ETRI.

Research topics: Computational interaction, AI safety, and AR/VR

Education

Seoul National University (SNU) | 2026 - present
Ph.D. in Dept. of Computer Science and Engineering
Advised by Prof. Jinwook Seo

Korea Advanced Institute of Science and Technology (KAIST) | 2018 - 2020
M.S. in Graduate School of Culture Technology
Advised by Prof. Byungjoo Lee

Pohang University of Science and Technology (POSTECH) | 2013 - 2018
B.S. in Dept. of Electrical Engineering

Work Experience

Electronics and Telecommunications Research Institute (ETRI) | 2020 - present
Researcher at AI Safety Institute

Korea Advanced Institute of Science and Technology (KAIST) | 2018
Research Intern at the Ubiquitous Virtual Reality Lab

LG CNS | 2017
Intern at the Digital Marketing Team

Publications

StairWave Transformer: For Fast Utilization of Recognition Function in Various Unmanned Vehicles
Donggyu Choi, Chang-eun Lee, Jaeuk Baek, Seungwon Do, Sungwoo Jun, Kwang-yong Kim, and Young-guk Ha
Machines 2023, 11(12), 1068

Paper

Policy modulation simulation demonstration

Speeding up Inference with User Simulators through Policy Modulation
Heeseung Moon, Seungwon Do, Wonjae Kim, Minsuk Chang, Jiwon Seo, and Byungjoo Lee
2022 CHI Conference on Human Factors in Computing Systems (CHI '22)

Paper | Talk | Page | Data

KLUE: Korean Language Understanding Evaluation
Sungjoon Park, Jihyung Moon, Sungdong Kim, Won Ik Cho, Jiyoon Han, Jangwon Park, Chisung Song, Junseong Kim, Yongsook Song, Taehwan Oh, Joohong Lee, Juhyun Oh, Sungwon Lyu, Younghoon Jeong, Inkwon Lee, Sangwoo Seo, Dongjun Lee, Hyunwoo Kim, Myeonghwa Lee, Seongbo Jang, Seungwon Do, Sunkyoung Kim, Kyungtae Lim, Jongwon Lee, Kyumin Park, Jamin Shin, Seonghyun Kim, Lucy Park, Alice Oh, Jungwoo Ha, and Kyunghyun Cho
Conference on Neural Information Processing Systems 2021 Datasets and Benchmarks Track (NeurIPS '21)

Paper | Benchmark | Code

Point-and-click simulation demonstration

A Simulation Model of Intermittently Controlled Point-and-Click Behaviour
Seungwon Do, Minsuk Chang, and Byungjoo Lee
2021 CHI Conference on Human Factors in Computing Systems (CHI '21)

Paper | Talk | Code | Honorable Mention Award (Top 5%) | 26.3% Acceptance Rate

Virtual collision response demonstration

Improving Reliability of Virtual Collision Responses: A Cue Integration Technique
Seungwon Do and Byungjoo Lee
2020 CHI Conference on Human Factors in Computing Systems (CHI '20)

Paper | Talk | 24.3% Acceptance Rate

Guitar fingering augmentation demonstration

Fingering Augmentation System for Guitar Learning
Seungwon Do, Hyungil Kim, and Woontack Woo
Korea Computer Congress 2018

Honors and Awards

Awards

ACM CHI 2021 Honorable Mention Award | 2021
SK Creative Challenge 2nd Prize | 2018
KAIST Invention Award 2nd Prize | 2018
Paper Contest of Korea Computer Congress 1st Prize | 2018
Graduation Exhibition in Dept. of Electrical Engineering 1st Prize | 2017

Scholarships

KAIST Alumni Association Scholarship | 2020
SAMSUNG Oh-Heon Kwon Scholarship | 2015 - 2016
National Excellence Scholarship (Natural Science and Engineering) | 2015 - 2016
POSTECH Jigok Scholarship | 2013 - 2014

Patents

Domestic

System and Method for Hypergraph-based Multi-agent Battlefield Situation Awareness Doc | 2023
Guitar Learning System Using Augmented Reality Doc | 2021

Services

Reviewing

CHI | 2027, 2025, 2024, 2023, 2022, 2021
UIST | 2026
CHI PLAY WIP | 2022, 2020

Seminar

EIRIC | 2021

Projects

Work Projects

Multi-modal battlefield situation awareness

Development of Explainable Spatio-temporal Complex Battlefield Situation Awareness Technology | 2023 - 2027

This project, funded by the Korean Defense Acquisition Program Administration, aims to develop a battlefield situation awareness system that analyzes battlefield information collected from a virtual battlefield simulator using artificial intelligence technologies. The system enhances battlefield analysis through multiple hypothesis generation, object interaction analysis, and scene graph generation.

Realtime Complex Battlefield Situation Awareness Technology | 2022 - 2026

This project, funded by the Korean Defense Acquisition Program Administration, aims to develop a battlefield situation awareness system that leverages Manned-Unmanned Teaming (MUM-T) systems to analyze battlefield information collected by UAVs using artificial intelligence technologies. The system enhances real-time situational awareness and prediction to support strategic decision-making through video image quality enhancement, object semantic segmentation, object recognition and reconstruction, scene graph generation, and knowledge analysis.

Situation Awareness Technology using Swarm Ultra-small Robots | 2022 - 2027

This project, funded by the Korean Defense Acquisition Program Administration, aims to develop a battlefield situation awareness system utilizing swarm ultra-small ground robots to analyze battlefield information collected by the robots using artificial intelligence technologies. The system enhances real-time situational awareness and prediction to support strategic decision-making through cooperative object recognition, tracking and dynamic behavior inference, place recognition, and model optimization.

A Study on Realtime Multi-Layer Battle Situation Awareness in Time and Space for AI Military Staff | 2021 - 2022

This project, funded by ETRI, aims to develop a battlefield situation awareness system that analyzes unstructured battlefield information, including video and text data collected by combat assets, using artificial intelligence technologies. The system enhances battlefield analysis through battlefield data generation, cooperative object recognition, automatic labeling, and scene graph generation.

Pol-Bot Development for Conversational Police Knowledge Services | 2020 - 2021

This project, funded by the Korean National Police Agency, aims to develop an interactive knowledge service system that analyzes voice and text data collected from police and public security services using artificial intelligence technologies. The system provides security-related information through natural language processing-based question-answering, speech recognition and conversion, and automated legal information retrieval.

Personal Projects

Two Thumbs Typing Simulation
Developed a two-thumb typing simulation using computational user modeling and reinforcement learning. | 2021
#ComputationalUserModeling #ReinforcementLearning

Museum Collection Voting System on Kiosk
Developed a kiosk-based voting system for museum collection items.
National Museum of Modern and Contemporary Art | 2019
#Unity

Video

YelLouder: Shouting Game using Human Voice Pitch and Volume
Developed an interactive game controlled by voice pitch and volume.
PlaceMak gallery | 2019
#Unity #MediaArt

Video

PathGuider: Exploration Assistance System for Virtual Reality Environment
Developed a path-guiding system for exploration in virtual reality.
Korea Advanced Institute of Science and Technology | 2018
#Unity #HTCVive #VR

Intuitive Guitar Musical Note Indicator
Developed an augmented reality tool for visualizing guitar notes.
Pohang University of Science and Technology | 2017
#OpenGL #AR

Intuitive Drone Control using Leap Motion
Designed a Leap Motion–based interface for drone control.
Seoul National University | 2016
#Drone #LeapMotion

Skills

Programming: C, C++, C#, Java, and Python
Application Development (VR/AR): Unity
Data Analysis & Visualization: MATLAB and R
Motion Capture: Optitrack
Robotics: ROS1 and ROS2

Curriculum Vitae

Download CV (Last updated: Mar 23, 2023)