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!
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.
Four papers accepted to CHI 2023 Workshop
Four papers from KIXLAB have been accepted to two CHI 2023 Workshops.
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 https://slideslive.com/38996064/.
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.
Haesoo successfully defended her M.S. Thesis.
Haesoo Kim successfully defended her Master’s thesis titled “An Observation of Online Call-out Culture: Motivations, Repercussions and Solutions to Online Harassment”. Congratulations!
Winter 2023 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.
Fall 2022 Undergraduate Research Internship
We are looking for a few undergraduate research interns to join KIXLAB this fall. You can find more information on Prof. Juho Kim’s website.
Two papers accepted to L@S 2022 Workshop
Our paper “Learnersourcing Modular and Dynamic Multiple Choice Questions” led by Haesoo and Inhwa, and “Learnersourcing Subgoal Hierarchies of Code Examples” led by Hyoungwook is accepted to L@S 2022 Workshop on Learnersourcing: Student-generated Content @ Scale.
A paper accepted to CSCW 2022
Our paper “When Does it Become Harassment?: An Investigation of Online Criticism and Calling Out in Twitter” led by Haesoo is accepted to CSCW 2022.