Semoo Shin

HCIS Lab, GIST

Gwangju, Republic of Korea

Currently taking the Intelligent Robotics course as a master's student in the Gwangju Institute of Science and Technology (GIST)

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Semoo Shin
  • Semoo Shin
  • August 17, 1997
  • Gwangju , Republic of Korea
  • sms081700@gm.gist.ac.kr
  • +82 10-9906-9929
  • 0llan.github.io

I'm currently a Master's Student at the Human-Centered Intelligent Systems (HCIS) Lab of Gwangju Institute of Science and Technology (GIST) in Korea, advised by Professor Seungjun Kim (School of Integrated Technology, GIST). My main research field is Human-Computer Interaction (HCI), with a particular interest in haptics and drones.

Publications


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EarPressure VR: Ear Canal Pressure Feedback for Enhancing Environmental Presence in Virtual Reality
Kang, S., Kim, G., Gim, B., Park, J., Shin, S., and Kim, S.
UIST ’25: ACM Symposium on User Interface Software and Technology
This study presents EarPressure VR, a system that modulates ear canal pressure to simulate atmospheric pressure changes in virtual reality (VR). EarPressure VR employs sealed earbuds and a linear stepper motor–driven syringe to generate controlled pressure variations within safe limits (±40 hPa relative to ambient pressure). Through two user studies, we evaluate (1) perceptual thresholds for detecting ear pressure in terms of direction (inward or outward) and intensity differences, and (2) the effect of ear pressure feedback on users’ sense of environmental presence across two VR scenarios involving gradual and discrete changes in ambient pressure.
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Demonstration of EarPressure VR: Ear Canal Pressure Feedback for Enhancing Environmental Presence in Virtual Reality
Kang, S., Kim, G., Gim, B., Park, J., Shin, S., and Kim, S.
UIST '25 Adjunct: Adjunct Proceedings of the ACM Symposium on User Interface Software and Technology 2025
We demonstrate EarPressure VR, a novel haptic system that enhances environmental presence in virtual reality by simulating atmospheric pressure changes through controlled air pressure modulation in the user's ear canal. The system uses a VR headset with sealed earbuds and a motor-driven syringe to safely generate pressure variations that simulate sensations like underwater depth or high-altitude environments (within ±40hPa of the ambient level).
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Magneto: Enabling Multimodal Haptic Feedback on Paper through Magnetic Fields
Park, J., Shin, S., Kang, S., Kim, G., and Kim, S.
CHI EA ’25: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
Paper, with its inherent versatility and adaptability, has long served as an accessible medium for interaction across different use cases. However, its analog nature constrains it to relatively fixed, static uses once created and limits its ability to provide richer sensory feedback or respond to changing contexts in the way digital interfaces can. To address this limitation, we introduce Magneto, a multimodal haptic system that augments paper interfaces with force, vibration, and thermal feedback through magnetic fields.
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TelePulse: Enhancing the Teleoperation Experience through Biomechanical Simulation-Based Electrical Muscle Stimulation in Virtual Reality
Hwang, S., Kang, S., Oh, J., Park, J., Shin, S., Luo, Y., DelPreto, J., Matusik, W., Rus, D., and Kim, S.
CHI ’25: ACM Conference on Human Factors in Computing Systems
🏆 Best Paper (Top 1%)
This paper introduces TelePulse, a system integrating biomechanical simulation with electrical muscle stimulation (EMS) to provide precise haptic feedback for robot teleoperation tasks in virtual reality (VR). TelePulse has two components: a physical simulation part that calculates joint torques based on real-time force data from remote manipulators, and an electrical stimulation part that converts these torques into muscle stimulation.
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Proposal of a Framework for Enhancing Teleoperation Experience with Biomechanical Simulation-Based Electrical Muscle Stimulation in Virtual Reality
Hwang, S., Kang, S., Oh, J., Park, J., Shin, S., Luo, Y., DelPreto, J., Matusik, W., Rus, D., and Kim, S.
UbiComp Companion 2024: Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing
This paper proposes a haptic feedback framework for VR-based teleoperation by combining biomechanical simulation and electrical muscle stimulation (EMS). The aim is to reduce cognitive load and improve teleoperation efficiency by simulating joint torque through EMS without using heavy mechanical actuators.

Personal Information

3D Modelling
  • Blender
  • Unity
  • Fusion 360
Coding
  • C#
  • Python
  • C++
  • Verilog HDL
Schematic Capturing
  • KiCad
  • OrCAD
  • Virtuosso
Configuring
  • Visual Studio
  • Arduino IDE
  • Mission Planner
  • Betaflight
  • Atmel Studio
Hobbies
  • Drone Maneuver
  • Worldbuilding
  • Note Compose
  • In-game level design
Experience
  • Co-operative Internship 2023 - 2023
    Space & Bean Co., Ltd.

    Drone Software development and testing

  • Military Service 2020 - 2022
    Republic of Korea Airforce

    Air Force Operational Support Staff

  • Research Intern 2019 - 2019
    Electronic Circuit Design Lab, SeoulTech

    Undergraduate research assistant


Education
  • M.S. 2024 -
    Gwangju Institute of Science and Technology
    Intelligent Robotics

    Advisor: SeungJun Kim

  • B.S. 2018 - 2024
    Seoul National University of Science and Technology
    Electronic and IT Media Engineering

    Advisor: Junho Lee

    Cum Laude


Awards
  • 4th I4FT Industry-Academia Project Presentation 2025
    Inter-university Alliance for Future Vehicular Technology (I4FT)

    Excellence prize

  • Internal Capstone Design Contest 2024
    Seoul National University of Science and Technology (SeoulTech)

    Department of Electronic Engineering

    Excellence prize

  • Defense Science and Technology Fair 2018
    Defense Agency for Technology and Quality (DTaQ)

    Defense Venture Idea Contest

    Top prize (1st)


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Contact

info
  • Adress: Gwangju, Republic of Korea

  • Email: sms081700@gm.gist.ac.kr
  • Naver Mail: sms0817@naver.com
  • Phone: +82 10-9906-9929
  • Website: https://0llan.github.io/
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