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SIGCHI Korea
Tuesday, June 23th, 2026
13:00 - 20:00
#Yongjae Hall (School of Business)
Yonsei University
Invitation Message
Invitation Message
The SIGCHI Korea Local Chapter is delighted to announce our upcoming Summer Workshop, a premier gathering designed to ignite conversation and collaboration within the HCI community. As the landscape of technology shifts rapidly, this year’s event focuses on the profound intersections of human creativity and artificial intelligence.
We are honored to host three visionary keynote speakers from the University of Tokyo, ETH Zürich, and Tsinghua University, who will share their latest breakthroughs in human augmentation and collaborative systems. Furthermore, our special panel session will tackle the industry's most pressing question: the ethical integration of AI in academic research. We invite researchers, students, and practitioners to join us for a day of intellectual growth and meaningful networking as we collectively shape the future of HCI.
Uichin Lee (KAIST), Jean Y. Song (Yonsei University), Seongwoo Lee (Yonsei University), Uran Oh (Ewha Womans University)
Contact: uran.oh@ewha.ac.kr, uclee@kaist.ac.kr, jeansong@yonsei.ac.kr, and swlee@yonsei.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/EmshE6UgMcJwe8k96
(Please note that registration is limited to the first 160 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/EmshE6UgMcJwe8k96
(선착순 160명 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 - 13:30 Welcome Reception & Check-in
13:30 - 14:10 [Keynote I] Prof. Jun Rekimoto (University of Tokyo)
14:10 - 14:30 Networking Break
14:30 - 15:10 [Keynote II] Prof. April Wang (ETH Zürich)
15:10 - 15:30 Networking Break
15:30 - 16:10 [Keynote III] Prof. Yuntao Wang (Tsinghua University)
16:10 - 16:30 Coffee Break
16:10 - 17:30 [Panel Discussion] From Prompts to Publication: Ethical AI Use in HCI Research
18:00 - 20:00 Workshop Dinner & Social Hour
KEYNOTES
KEYNOTE I
13:30 - 14:10
Language: English
Human-AI Integration
Human-AI Integration
Jun Rekimoto | Sony Computer Science Laboratories - Kyoto
Jun Rekimoto earned his Ph.D. in Information Science from the Tokyo Institute of Technology in 1996. Since joining Sony Computer Science Laboratories (Sony CSL) in 1994, he has led pioneering research in Human-Computer Interaction, augmented reality, and Human Augmentation. He founded the Interaction Laboratory in 1999 and currently directs Sony CSL Kyoto Laboratory. Rekimoto is also Professor Emeritus of the University of Tokyo. His projects include NaviCam, one of the world’s first handheld AR systems, CyberCode, an early marker-based AR platform, and SmartSkin, a foundational multitouch technology. His recent work explores Human-AI Integration, silent speech interfaces, and the Internet of Abilities (IoA). He has received numerous honors, including ACM SIGCHI Academy membership and two ACM UIST Lasting Impact Awards.
Abstract: While traditional HCI (Human-Computer Interaction) is a research field that focuses on the interface between humans and machines, I advocate for Human Augmentation—humans enhanced by technology. The scope of augmentation extends beyond intellectual enhancement to encompass sensory, cognitive, physical, and existential dimensions. This augmentation extends beyond individual humans to develop into a future society called IoA (Internet of Abilities), where people and technology merge on networks and their capabilities are complementarily enhanced, leading to a world of Human-AI Integration where AI becomes integrated with human abilities. I will introduce examples such as silent speech, which enables communication without vocalization, and skill transmission systems where human vision merges with real-world agents, and discuss the future relationship between humans and technology.
KEYNOTE II
14:30 - 15:10
Language: English
From Junior to Senior in the Age of AI: Designing Programming Tools for Growth, Not Just Productivity
From Junior to Senior in the Age of AI: Designing Programming Tools for Growth, Not Just Productivity
April Wang | ETH Zürich, Switzerland
April Yi Wang is an Assistant Professor of Computer Science at ETH Zürich, where she leads the Programming, Education, and Computer-Human Interaction Lab. Her research lies at the intersection of human-computer interaction, educational technology, and human-centered AI. She designs and studies interactive systems that help people learn and work with computation, with a focus on making computational processes more visible, inspectable, and learnable, especially as AI systems increasingly shape how people write code, solve problems, and develop expertise.
Abstract: AI coding tools are rapidly changing what it means to learn programming and grow as a software engineer. They can generate code, create tests, suggest fixes, explain errors, and answer questions on demand. These capabilities make programming more accessible and productive, but they also raise a deeper educational concern: many of the activities now being automated are precisely the activities through which novices develop expertise. Testing, debugging, decomposing problems, reading others’ code, asking questions, and learning from communities are not merely inefficient steps on the way to an answer; they are practices through which programmers build expertise. In this talk, I'll present a line of research focused on building programming tools that prioritize expertise growth over sheer output. I'll share systems that transform software testing into a peer-learning exercise and frameworks that guide learners and LLMs to break down problems together, rather than jumping straight to auto-generated code. We'll also look at how AI agents shift the balance of control for junior developers, and how chatbots can actually connect people to online coding communities instead of replacing them.
KEYNOTE III
15:30 - 16:10
Language: English
Physiological Sensing on Ubiquitous Devices
Physiological Sensing on Ubiquitous Devices
Yuntao Wang | Tsinghua University
Yuntao Wang is a research associate professor in the Department of Computer Science and Technology at Tsinghua University. His research centers on physiobehavioral computing and intelligent interaction for mobile and wearable systems. His work focuses on (1) developing robust, efficient sensing that performs reliably on mainstream devices, (2) extracting spatiotemporal patterns from multimodal signals to infer interaction intent by leveraging natural behavioral correlations, and (3) designing edge-efficient interfaces that deliver high performance on mobile and wearable platforms. He has published 90+ papers, received 10 international conference awards, and holds 30+ granted patents. His contributions have been recognized with honors including the Wu Wenjun AI Outstanding Youth Award (2024), the CAST Young Elite Scientists Sponsorship Program (2022), the Qinghai High-Level Innovation & Entrepreneurship Leading Talent (2024), and the First Prize of the China Electronics Institute Science & Technology Award (2019).
Abstract: This talk presents our recent work on physiological sensing using ubiquitous devices, including smartphones and wearables. We explore how everyday devices can support efficient, continuous, and low-burden health monitoring beyond traditional medical settings. By leveraging widely available hardware and new sensing algorithms, our research aims to make physiological monitoring more accessible, scalable, and practical for real-world use. The talk will highlight new technical approaches and design insights at the intersection of human-computer interaction, ubiquitous computing, and health.
PANEL DISCUSSION
TOPIC: From Prompts to Publication: Ethical AI Use in HCI Research
TOPIC: From Prompts to Publication: Ethical AI Use in HCI Research
Panel Discussion Time: 16:30 - 17:30
Language: English
The rapid adoption of Generative AI has transformed how we conduct research. This session brings together experts to debate the ethics of using AI in the scholarly process. We will explore issues of authorship, transparency, and the potential biases inherent in AI-assisted publications.
Moderator: Uichin Lee (Professor, KAIST)
https://ic.kaist.ac.kr
Moderator: Uichin Lee (Professor, KAIST)
https://ic.kaist.ac.kr
The Panelists
The Panelists
Jane E
Assistant Professor
Jane E
Assistant Professor
National University of Singapore
Inseok Hwang
Associate Professor
Inseok Hwang
Associate Professor
POSTECH
Tae Soo Kim
PhD Candidate
Tae Soo Kim
PhD Candidate
KAIST
Anusha Withana
Associate Professor
Anusha Withana
Associate Professor
University of Sydney
Organizers
Student Volunteer Co-chairs
Yunseo Moon
Yunseo Moon
University of Seoul
Hayeon Kim
Hayeon Kim
Ewha Womans
University
Haeun Jang
Haeun Jang
Yonsei University
The Venue
The Venue
Yongjae Hall (B1 Floor), #212 School of Business,
Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul
Yongjae Hall (B1 Floor), #212 School of Business,
Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul
서울특별시 서대문구 연세로 50 연세대학교
212동 경영관. 용재홀 (지하 1층)
Naver Map: https://naver.me/5eU4gktB
By Bus: Please refer to the Bus Routes Table below
By Bus: Please refer to the Bus Routes Table below
By Subway: Sinchon Station (Line 2), Exit 2 or 3. A 20-minute walk.
버스: 아래 버스 노선 표를 참고하세요
지하철: 2호선 신촌역. 2번 또는 3번 출구에서 내려서 도보로 20분.
Bus Routes
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: 6:00 PM to 8:00 PM
Place: The Networking Event will be held at a separate venue
TBU
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 2026 Summer Event
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