Human–Computer Interaction at Scale
The KAIST Interaction Lab (KIXLAB) is a human-computer interaction research group in the School of Computing at KAIST. Our mission is to improve ways people learn, collaborate, discuss, make decisions, and take action online by designing new interactive systems that leverage and support interaction at scale.
Supporting an Iterative Conversation Design Process
Snapshot-based interaction in live streaming for visual art
SolutionChat is an online chat system for structured discussion with untrained moderators
Facilitating listening in online space by reducing stereotypes on people with different opinions.
Two CSCW 2020 papers presented
Two papers led by KIXLAB members will be presented at CSCW 2020: “C-Reference: Improving 2D to 3D Object Pose Estimation Accuracy via Crowdsourced Joint Object Estimation” (led by Jean) and “ProtoChat: Supporting the Conversation Design Process with Crowd Feedback”(led by Yoonseo).
Minsuk successfully defended his Ph.D. thesis
Minsuk Chang successfully defended his Ph.D. thesis titled “Mining Sequential Knowledge for Interaction Design”. His thesis committee included Alice Oh, Mia Cha, Elena Glassman, Mira Dontcheva, and Juho Kim (chair). He’s the first student to get a Ph.D. from KIXLAB. Congratulations!
Mina wins a the grand prize at the 2020 URP
Mina won the grand prize at the 2020 Winter/Spring URP (Undergraduate Research Program) Program Workshop. She was mentored by Minsuk and Juho.
Summer 2020 Undergraduate Research Internship
We are looking for a few undergraduate research interns to join KIXLAB this summer. You can find more information on Prof. Juho Kim’s website.
Two CHI 2020 late-breaking work (LBW) papers accepted
Two late breaking work papers to CHI 2020 have been accepted: “Leveraging the Crowd to Support the Conversation Design Process” led by Yoonseo Choi and “Consensus Building in Collaborative Sequencing with Visual Awareness” led by Tae Soo Kim.
Three CHI 2020 papers conditionally accepted
Three KIXLAB papers have been conditionally accepted to CHI 2020: “SolutionChat: Real-time Moderator Support for Chat-based Structured Discussion” (led by Sung-Chul), “Snapstream: Snapshot-based Interaction in Live Streaming for Visual Art”(led by Saelyne), and “Understanding Users’ Perception Towards Automated Personality Detection with Group-specific Behavioral Data” (led by Seoyoung).
CSCW Asia Winter School
Seoyoung, Jibon, Hoon, and Juho are attending the CSCW Asia Winter School held in Kyoto, Japan, on December 13-14, 2019. Seoyoung, Jibon, and Hoon will be presenting their posters. Juho is one of the organizers.
KIXLAB at CSCW 2019
Members of KIXLAB and collaborators will present two full papers and participate in two workshops at CSCW 2019. Three of us will be there.
Winter 2020 Undergraduate Research Internship
We are looking for a few undergraduate research interns to join KIXLAB this winter. You can find more information on Prof. Juho Kim’s website.
We launched the byulbyul.kr <별별생각> system!
In collaboration with SBS (Korean national TV network), we recently launched an experimental online platform called “별별생각”, where people can share their characteristics as well as their opinions on social issues, and see the distribution of opinions and search for people with shared characteristics.