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

Hyungyu was selected as an Outstanding TA of SoC in fall 2020

Hyungyu worked excellently as a TA in the CS492 course, and was selected as an Outstanding TA of SoC in fall 2020.

Minsuk, Saelyne, and Yoonseo won the department’s Outstanding Thesis Award

Minsuk, Saelyne, and Yoonseo won the department’s Outstanding Thesis Award. KIXLAB rocked this year with three awardees out of twelve total.

Two CSCW 2021 papers accepted

Two KIXLAB papers have been accepted to CSCW 2021: “Supporting Collaborative Sequencing of Small Groups through Visual Awareness” (led by Tae Soo) and “StarryThoughts: Facilitating Diverse Opinion Exploration on Social Issues” (led by Hyunwoo).

Three CHI 2021 papers accepted

Three KIXLAB papers have been accepted to CHI 2021: “RubySlippers: Supporting Content-based Voice Navigation for How-to Videos” (led by Minsuk), “Personalizing Ambience and Illusionary Presence: How People Use “Study with Me” Videos to Create Effective Studying Environments”(led by Yoonjoo), and “Winder: Linking Speech and Visual Objects to Support Communication in Asynchronous Collaboration” (led by Tae Soo).

A paper accepted to AAAI 2021 Workshop

“FitVid: Towards Development of Responsive and Fluid Video Content Adaptation” led by Jeongyeon is accepted to AAAI 2021 Workshop on Imagining Post-COVID Education with AI.

Saelyne, Yoonseo and Hoon successfully defended their M.S. Thesis.

Saelyne Yang, Yoonseo Choi and Donghoon Han successfully defended their Master’s theses.

Saelyne’s thesis is titled “Snapstream: Snapshot-based Interaction in Live Streaming for Visual Art”. Yoonseo’s thesis is titled “ProtoChat: Supporting the Iterative Conversation Design Process with Crowd Feedback”. Saelyne and Yoonseo are continuing as a Ph.D. student in KIXLAB.

Hoon’s thesis is titled “Reducing Annotation Artifacts in Crowdsourcing Datasets for Natural Language Processing”.

Winter 2021 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.

A paper accepted to DEW 2020 @ HCOMP

“Reducing Annotation Artifacts in Crowdsourcing Datasets for Natural Language Processing” led by Hoon is accepted to DEW(Data Excellence Workshop) 2020.

Two CSCW 2020 papers presented

Two papers led by KIXLAB members will be presented at CSCW 2020: “C-Reference: Improving 2D to 3D Object Pose Estimation Accuracy via Crowdsourced Joint Object Estimation” (led by Jean) and “ProtoChat: Supporting the Conversation Design Process with Crowd Feedback” (led by Yoonseo).

Minsuk successfully defended his Ph.D. thesis

Minsuk Chang successfully defended his Ph.D. thesis titled “Mining Sequential Knowledge for Interaction Design”. His thesis committee included Alice Oh, Mia Cha, Elena Glassman, Mira Dontcheva, and Juho Kim (chair). He’s the first student to get a Ph.D. from KIXLAB. Congratulations!

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