Seokhyun (Shawn) Hwang

Ph.D. Student in Information Science at the University of Washington

Seokhyun Hwang portrait

Hi there! My name is Seokhyun (Shawn) Hwang, and I am a Ph.D. student in Information Science at the University of Washington in the ACE Lab (Advisor: Jacob O. Wobbrock). I completed my Master's degree in Intelligent Robotics at Gwangju Institute of Science and Technology HCIS Lab (Advisor: SeungJun Kim). I work on body-state-aware interaction, spanning human-computer interaction, AI, haptics, and wearable systems.

Education

  • University of Washington, United States

    Doctor of Philosophy (Ph.D.), Information Science, Information School

    Sep 2024 - Present (Expected)

    Advisor: Jacob O. Wobbrock

  • Gwangju Institute of Science and Technology, Korea

    Master of Science (M.S.), Intelligent Robotics, School of Integrated Technology

    Sep 2021 - Aug 2023

    Advisor: SeungJun Kim

  • Gwangju Institute of Science and Technology, Korea

    Bachelor of Science (B.S.), Department of Mechanical Engineering

    Mar 2017 - Aug 2021

Research Experiences

  • University of Washington & Toyota Research Institute

    Research Assistant

    Jan 2025 - Present

  • Toyota Research Institute

    Research Intern (Mentors: Alexandre Filipowicz, Scott Carter)

    Jun 2025 - Sep 2025

    Human-Centered AI Division

  • ACE Lab, University of Washington

    Ph.D. Student (Advisor: Jacob O. Wobbrock)

    Sep 2024 - Present

  • DRL Lab & CDFG Lab, MIT

    Visiting Researcher (Advisors: Daniela Rus, Wojciech Matusik)

    Sep 2023 - Oct 2023

  • Human-Centered Intelligence Systems Lab, GIST

    Research Associate

    Sep 2023 - Aug 2024

  • Human-Centered Intelligence Systems Lab, GIST

    M.S. Student (Advisor: SeungJun Kim)

    Sep 2021 - Aug 2023

    Intelligent Robotics, School of Integrated Technology

  • Human-Centered Intelligence Systems Lab, GIST

    Research Intern (Advisor: SeungJun Kim)

    Jan 2021 - Aug 2021

    School of Integrated Technology internship and undergraduate research internship program

  • Intelligent Medical Robotics Lab, GIST

    Research Intern (Advisor: Jungwon Yoon)

    Jun 2020 - Dec 2020

Teaching Experiences

  • University of Washington

    Teaching Practicum, IMT 565B: Designing Information Experiences

    Mar 2026 - Jun 2026

  • University of Washington

    Teaching Practicum, HCID 520: User Interface Software & Technology

    Jan 2026 - Mar 2026

  • University of Washington

    Teaching Assistant, INFO360: Design Methods

    Sep 2024 - Dec 2024

  • Gwangju Institute of Science and Technology

    Teaching Assistant, RT6304: XR Project Class

    2022 Fall - 2023 Spring

  • National University of Laos & Khon Kaen University

    Experiment Instructor (Educational Volunteer), 2019 GIST Global Science Camp in Laos

    Jul 2019

  • Gwangju Institute of Science and Technology

    Experiment and Design Team Leader (Educational Volunteer), 2019 GIST Science Camp

    Jan 2019

A research program around human ability

Research Goals

Human-Adaptive Interaction

Technology should adapt to what people can perceive, process, and do—without adding more burden than benefit.

Each row follows one human capacity through the same repeating cycle.

Select a row, step, or card to explore
Understand
Respond
Verify & Learn
Understand
Respond
Verify & Learn
Understand
Respond
Verify & Learn

How to read this map

One method, three human capacities

Select a card to see the systems and studies behind each part of the cycle.

Publications

View
Topic
Domain
Authorship

26 publications shown

Conferences & Journals

A Closed-Loop CPR Training Glove with Integrated Tactile Sensing and Haptic Feedback
MotorHuman-AI InteractionAssistive & HealthConference

[c.15] A Closed-Loop CPR Training Glove with Integrated Tactile Sensing and Haptic Feedback

Moon, J., Ma, M., Yang, Q., Choi, Y., Hwang, S., Burden, B., Kim, K., Luo, Y.

2026 IEEE International Conference on Robotics & Automation Coming Soon

Posters & Workshops

Patents & Copyrighted Contents

[pa.2] Haptic wearable devices for tactile experiences

Kim, S., Kang, S., Kim, G., Hwang, S., Park, J., Elsharkawy, A.

KR Patent App. KR102541073

[pa.1] Method and System for Supporting Walking in Virtual Environment

Hwang, S., Lee, J., Kim, Y., Seo, Y., Kim, S.

US Patent App. US20250159408A1 | KR Patent App. KR20250069327A

[cc.2] Mobility-Linked Virtual Reality-Based Underwater Exploration Immersive Content Game Software (Underwater Exploration & Ocean Trash Collection Game)

Kim, S., Kang, S., Kang, Y., Kim, K., Seong, M., An, E., Yang, H., Yeo, D., Oh, J., Jeon, H., Jo, T., Hwang, S.

Copyright for Computer Program Works C-2022-050134

[cc.1] Mobility-Linked Virtual Reality-Based Underwater Exploration Immersive Content Game Software (Underwater Exploration & Underwater Gem Collection Game)

Kim, S., Kang, S., Kang, Y., Kim, K., Seong, M., An, E., Yang, H., Yeo, D., Oh, J., Jeon, H., Jo, T., Hwang, S.

Copyright for Computer Program Works C-2022-050133

About

Awards & Honors

Invited Talks

Academic Service

Media Coverage

Articles from Korean outlets are available in Korean.

Extra Activities

Fun Projects

The project list below provides brief descriptions of personal projects unrelated to publication.

Natural User Interface-Based Interactive XR System for In-Car Environments

Natural User Interface-Based Interactive XR System for In-Car Environments

An in-car AR/XR system that combines marker tracking, stereo depth sensing, and hand-gesture interaction for immersive and safe in-vehicle experiences.

Sheet Music Recognition Robot for Automatic Accompaniment

Sheet Music Recognition Robot for Automatic Accompaniment

A dual-manipulator robot that reads sheet music with OCR, extracts chords and tempo, and performs autonomous accompaniment on a keyboard.

Automated Drone Design for Kiwi Pollination

Automated Drone Design for Kiwi Pollination

An agricultural drone that identifies kiwi flowers and applies a pollen-charcoal mixture using airflow-assisted delivery for efficient pollination.

Vision-Driven Autonomous Table Tennis System

Vision-Driven Autonomous Table Tennis System

A vision-based robotic table tennis system that tracks ball trajectory in 3D, predicts landing points, and performs autonomous returns with adaptive swings.