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.

Learn more about KIXLAB through this video!

Recent projects

Supporting the Conversation Design Process with Crowd Feedback

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.

Latest news

A paper accepted to UIST 2023

Our paper “Cells, Generators, and Lenses: Design Framework for Object-Oriented Interaction with Large Language Models” led by Tae Soo is accepted to UIST 2023.

A paper accepted to IEEE VIS 2023

Our paper “EmphasisChecker: A Tool for Guiding Chart and Caption Emphasis” led by Dae Hyun is accepted to IEEE VIS 2023.

CSCW 2023 SIG on "Designing for AI-Powered Social Computing Systems"

Our proposal for a CSCW 2023 SIG on “Designing for AI-Powered Social Computing Systems”, led by Gionnieve, Hyunwoo, and Yoonseo, has been accepted.

Summer 2023 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.

KIXLAB at CHI 2023

Members of KIXLAB and collaborators will present six full papers and four workshop papers at CHI 2023. Six KIXLAB members will be attending CHI.

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Four papers accepted to CHI 2023 Workshop

Four papers from KIXLAB have been accepted to two CHI 2023 Workshops.

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Six papers accepted to CHI 2023

Six papers from KIXLAB have been accepted to CHI 2023.

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Juho's NeurIPS keynote

Prof. Juho Kim, KIXLAB’s director, gave a keynote talk titled “Interaction-Centric AI” at NeurIPS 2022.

The video of the keynote is available at

A paper accepted to IUI 2023

Our paper “Large-scale Text-to-Image Generation Models for Visual Artists’ Creative Works” led by Hyung-Kwon is accepted to IUI 2023.

Saelyne received a NAVER PhD Fellowship Award

Saelyne received a NAVER PhD Fellowship Award. She is one of the six Ph.D. students awarded for outstanding research in the department.

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