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.
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.
Summer 2022 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.
A paper accepted to ACL 2022 Workshop
Our paper “Interactive Children’s Story Rewriting Through Parent-Children Interaction” led by Yoonjoo is accepted to ACL 2022 Workshop on Intelligent and Interactive Writing Assistants.
KIXLAB in the second issue of the KAIST ILP
Hyungyu and Juho’s article on the second issue of KAIST ILP is published. The article is about a successful AI application design process based on our cumulative teaching / research / industry collaboration experiences, and introduces three projects: RubySlippers, SolutionChat, and Stylette.
One Best Paper Award and one Honorable Mention Award for CHI 2022
Our paper “Mobile-Friendly Content Design for MOOCs: Challenges, Requirements, and Design Opportunities” led by Jeongyeon wins a Best Paper Award for CHI 2022. Also, our paper “Stylette: Styling the Web with Natural Language” led by Taesoo wins an Honorable Mention Award for CHI2022.
A paper accepted to Learning at Scale 2022
Our paper “RLens: A Computer-aided Visualization System for Supporting Reflection on Language Learning under Distributed Tutorship” led by Meng is accepted to Learning at Scale 2022.
A paper accepted to CHI 2022 Workshop
Our paper “Improving Video Interfaces by Presenting Informational Units of Videos” led by Saelyne is accepted to CHI 2022 Workshop on Computational Approaches for Understanding, Generating, and Adapting User Interfaces.