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.
Yoonjoo received Outstanding Presentation Award at HCI Korea 2024
Yoonjoo Lee received the Outstanding Presentation Award at HCI Korea 2024 for her talk on DAPIE: Interactive Step-by-Step Explanatory Dialogues to Answer Children’s Why and How Questions. Congratulations!
Eight papers conditionally accepted to CHI 2024
Eight papers from KIXLAB have been conditionally accepted to CHI 2024.
Jeongeon and DaEun received an Honorable Mention in the UIST 2023 Student Innovation Contest (SIC)
Jeongeon and DaEun received an Honorable Mention in the UIST 2023 Student Innovation Contest (SIC) for their project, “AudiLens: Configurable LLM-Generated Audiences for Public Speech Practice”. Congratulations!
Winter 2024 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.
KIXLAB has positions for MS students
KIXLAB has one or two open positions for MS students in SoC KAIST for Spring 2024. If interested, please follow the instructions in the MS Student Selection Process Application deadline: Oct. 20th, 2023.
Two papers accepted to CSCW 2024
Two KIXLAB papers “CodeTree: A System for Learnersourcing Subgoal Hierarchies in Code Examples” led by Hyoungwook and “Re:SPect: Enabling Active and Scalable Responses to Networked Online Harassment” led by Haesoo and Juhoon have been accepted at CSCW 2024.
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.