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SIGCHI Korea
Tuesday, June 24th, 2025
13:00 - 20:00
#117 N1, KAIST. Daejeon
Invitation Message
Invitation Message
On behalf of the SIGCHI Korea Local Chapter organizers, We are thrilled to extend an invitation to an exclusive half-day event filled with inspiring talks, panel discussions, and networking opportunities. We've assembled a distinguished lineup of leading professionals to unveil cutting-edge research and innovation in the field.
Our panel discussions will feature researchers who will share their tips as HCI professionals, offering valuable insights to help you publish strong paper as an early-career researchers.
This event is set to bring together a dynamic, interdisciplinary community of academics and professionals devoted to human-computer interaction (HCI) and associated fields. We encourage you to reconnect with old colleagues, forge new friendships, and engage. Seize this invaluable chance to network, expand your knowledge, and find inspiration.
Hyunggu Jung (Seoul National University) and Sunjun Kim (DGIST)
Contact: hyunggu@snu.ac.kr and sunjun_kim@dgist.ac.kr
Registration
Pre-registration is required to attend the SIGCHI Workshop. If you would like to participate,
please kindly complete the following form at your earliest convenience:
https://forms.gle/ci8kFtGnihyx5ixu5
(Please note that registration is limited to the first 120 participants; all additional applicants will be placed on the waitlist.)
SIGCHI 워크숍에 참석하기 위해서 사전 등록이 필요합니다. 참여를 원하시는 분께서는 아래 양식을 작성해 주시기 바랍니다.
https://forms.gle/ci8kFtGnihyx5ixu5
(선착순 120명 등록을 받고 있습니다. 추가 신청자는 대기자 명단에 등록 후, 참석자 취소시 별도로 연락드립니다)
Join us for a keynote talk, a moderated panel and a networking event
Join us for a keynote talk, a moderated panel and a networking event
Program Schedule
13:00 - 13:20 Registration
13:20 - 13:30 Opening Remarks
13:30 - 14:10 [Keynote I] by Prof. Sang Won Lee, Virginia Tech, USA
14:10 - 14:50 Coffee Break + Open Lab
14:50 - 15:30 [Keynote II] by Prof. Seungbae Kim, University of South Florida, USA
15:30 - 16:10 Coffee Break + Open Lab
16:10 - 16:50 [Keynote III] by Prof. Minsuk Kahng, Yonsei University, Korea
16:50 - 17:30 [Panel Discussion] "How to publish strong paper as an early-career researcher?"
17:30 - 20:00 Networking Social Event
KEYNOTES
KEYNOTE I
13:30 - 14:10
Language: English
Don't Forget the Engagement: Coping with the Threat to Human Expressivity in the Age of AI
Don't Forget the Engagement: Coping with the Threat to Human Expressivity in the Age of AI
Sang Won Lee | Virginia Tech, USA & NAVER AI Lab
Sang Won Lee is an Associate Professor in the Department of Computer Science at Virginia Tech. His research focuses on designing interactive systems that foster empathy among individuals. His overarching vision of computer-mediated empathy seeks to infuse computational systems with the expressive, collaborative, and empathic qualities found in creative and artistic expression. He develops and studies interactive media that support perspective-taking, understand individuals' context in computer-mediated communication, and promote self-reflection. These systems have been applied to a variety of domains, including creative writing, informal learning, and programming.
In this talk, I explore how AI can negatively impact human engagement in creative practices and learning. The current trajectory of AI development prioritizes efficiency, effectiveness, and convenience. While these goals are beneficial in many contexts, they can conflict with the nonlinear and seemingly inefficient nature of engagement that characterizes creative practice and learning. Drawing on examples from writing education and other relevant projects, I suggest a shift in perspective: rather than using AI solely to optimize tasks, we should design it to unlock new expressive dimensions and actively foster learning and creative participation.
KEYNOTE II
14:50 - 15:30
Language: English
multi-modal learning and fairness in healthcare ai
multi-modal learning and fairness in healthcare ai
Seungbae kim | University of South Florida, USA
Seungbae Kim, Ph.D. is an Assistant Professor at the Bellini College of Artificial Intelligence, Cybersecurity and Computing at the University of South Florida. He leads the Connected Social Artificial Intelligence Lab (CSAIL). Dr. Kim's research focuses on AI for social good, with applications in mental health, communication science, fairness in machine learning, and social network analysis. His work integrates multimodal machine learning, graph neural networks, and computer vision to address societal challenges across diverse platforms. He earned his Ph.D. in Computer Science from UCLA and previously held research roles at UCLA, KAIST, and Seoul National University.
In this talk, I will present how integrating diverse data streams—such as audio, video, gestures, physiological signals, and textual transcripts—enables the development of richer and more accurate models for the healthcare domain, while also addressing challenges related to data scarcity and bias. Specifically, I will introduce novel architectures that fuse co-speech gestures with acoustic features to enhance speech recognition for patients with communication disorders, as well as methods for combining facial and acoustic features to improve depression detection. To ensure these powerful models remain equitable under strict privacy constraints inherent to healthcare, I will also discuss reinforcement learning–driven synthetic data generation and fairness-aware pruning techniques designed to reduce performance gaps across subgroups.
KEYNOTE III
16:10 - 16:50
Language: English
visual analytics for responsible ai
visual analytics for responsible ai
Minsuk Kahng | Yonsei University, Korea | Website: https://minsuk.com
Minsuk Kahng began his position as an Assistant Professor in the Department of Computer Science and Engineering at Yonsei University in March 2025, after working as a Senior Research Scientist at Google DeepMind in the People + AI Research (PAIR) team. His research focuses on building interactive data visualization tools that help people responsibly develop AI systems. His work has led to deployed technologies (e.g., LLM Comparator for Google, ActiVis for Facebook) and recognized with prestigious fellowships from NSF and Google, as well as a dissertation award from Georgia Tech. He also worked as an Assistant Professor at Oregon State University and received his Ph.D. from Georgia Tech.
While large tech companies invest heavily in training LLMs such as GPT and Gemini, these models are inherently imperfect. They can fail unexpectedly, reflect biases, or produce unsafe outputs. How can we help practitioners address these issues when developing AI systems? In this talk, I present my research on building novel visual analytics tools that help people interactively analyze model behavior. I draw upon my experience developing tools like LLM Comparator, designed to support model evaluation at Google. I also discuss my vision for human-centered workflows for curating high-quality datasets, making AI not only more powerful, but also more responsible.
OPEN LAB
Open Lab By KAIST XR Workstation HCI Technology Research Center (ITRC)
Open Lab By KAIST XR Workstation HCI Technology Research Center (ITRC)
Open Lab Time: 14:10 - 14:50 & 15:30 - 16:10
🔗SpaceTop Research Center
At SpaceTop Research Center, we are researching HCI problems and developing technologies for the next generation of Extended Reality (XR) platforms, bridging the gap between the current XR platforms and the daily productivity needs of future computer users.
PANEL DISCUSSION
TOPIC: how to publish a strong paper as an early-career researcher?
TOPIC: how to publish a strong paper as an early-career researcher?
Panel Discussion Time: 16:50 - 17:30
Language: English
Join us for an engaging and insightful panel discussio. Whether you're a student or a recent graduate, this discussion promises to be enlightening and inspiring. Let's explore the diverse opportunities and make informed decisions about our futures together.
Moderator: Eunji Park (Prof. of Chung-Ang University)
Moderator: Eunji Park (Prof. of Chung-Ang University)
Eunji Park is an assistant professor in the Department of Computer Science and Engineering at Chung-Ang University. She received her Ph.D. in the School of Computing at KAIST under the supervision of Prof. Uichin Lee. She earned her M.S. degree in Culture Technology from KAIST in 2019, where she was advised by Prof. Byungjoo Lee from 2017 to 2020. From 2015 to 2017, she worked as an R&D researcher at SK Hynix. She received her B.S. degree in Materials Science and Engineering from KAIST in 2015. Eunji Park is interested in user modeling and multimodal interaction. Her research focuses on quantifying users’ physical and cognitive performance through multimodal sensor fusion in the context of Human-Computer Interaction. She is also expanding her work to model the behavioral characteristics of users across various types of interaction.
The Panelists
The Panelists
Prof. Hee-Seung Moon
Prof. Hee-Seung Moon
Chung-Ang
University
Prof. Dae Hyun Kim
Prof. Dae Hyun Kim
Yonsei
University
Prof. Cheng Zhang
Prof. Cheng Zhang
Cornell
University
Riku
Arakawa
Riku
Arakawa
Carnegie Mellon
University
Organizers
Hyunggu Jung
Hyunggu Jung
Seoul National
University
Sunjun
Kim
Sunjun
Kim
DGIST
Student Volunteer co-chairs
Yunseo
Moon
Yunseo
Moon
University of Seoul
Munjeong Kim
Munjeong Kim
DGIST
The Venue
The Venue
#117, N1 Bldg (IT Convergence Bldg). KAIST, Daejeon
#117, N1 Bldg (IT Convergence Bldg). KAIST, Daejeon
291, Daehak-ro, Yuseong-gu, Daejeon
291, Daehak-ro, Yuseong-gu, Daejeon
117호. N1 빌딩(IT융합빌딩). 한국과학기술원(KAIST)
대전광역시 유성구 대학로 291
Naver Map: https://naver.me/54LbpRHT
By Taxi (Recommended): It is about 20 minute drive from Daejeon Train Station by taxi.
By Taxi (Recommended): It is about 20 minute drive from Daejeon Train Station by taxi.
By Subway or Bus: It is about 1 hour from Daejeon Tran Station. Not recommended
택시: 대전역에서 택시로 약 20분 정도 거리입니다 (택시를 추천합니다)
지하철 또는 버스: 약 1시간 소요됩니다. 한 번에 오는 버스도 없고 버스를 타더라도 10분 이상 걸어야 하므로 추천하지 않습니다.
*Image from: KAIST News (https://times.kaist.ac.kr/news/articleView.html?idxno=10378)
Networking Event
Join us for an engaging event and come ready to reach out and connect with new people.
Your participation will make it truly special!
Event time: 5:30 PM to 8:00 PM
Place: The Networking Event will be held at a separate venue
Academic Cultural Complex (Cultural Building. E9), 5F, John Hannah Hall.
학술문화관(E9) 5층 존해너홀.
Complimentary food and soft drinks will be provided exclusively for registered participants.
Keep updates on further events!
Keep updates on further events!
Sponsors
ACM SIGCHI
SIGCHI Korea Local Chapter 2025 Summer Event
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