Research of
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.

Recent projects

Supporting an Iterative Conversation Design Process

Snapshot-based interaction in live streaming for visual art

Facilitating listening in online space by reducing stereotypes on people with different opinions.

Facilitating consensus building in the collaborative construction of item sequences with system support.

Latest news

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.


Members of KIXLAB and collaborators will present two full papers and participate in two workshops at CSCW 2019. Three of us will be there.

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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 <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.

CSCW 2019: ManyThoughts paper wins a Best Paper Honorable Mention award.

Our “Efficient Elicitation Approaches to Estimate Collective Crowd Answers” paper wins a Best Paper Honorable Mention Award for CSCW 2019. This project started as John’s internship project in KIXLAB and evolved into a collaboration with colleagues at the University of Michigan.

UIST 2019: Minsuk's Doctoral Symposium submission is accepted.

Minsuk’s Doctoral Symposium submission to UIST 2019 have been accepted: Data Structures for Designing Interactions with Contextual Task Support.

CSCW 2019: 2 papers accepted

We’re happy to share that two papers from KIXLAB and collaborators have been conditionally accepted to CSCW2019.

Hyunwoo and Mathias successfully defended their MS theses

Both Hyunwoo and Mathias successfully defended their Master’s theses. Congrats!

Hyunwoo’s thesis is titled “PolicyScape: Crowdsourcing Perspectives on Public Policies from Stakeholders”. Hyunwoo is continuing as a Ph.D. student in KIXLAB.

Mathias’s thesis is titled “Improving Learning Plans with Peer Goal Revision”. Mathias will be working as a software engineer in Copenhagen.

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