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.
KIXLAB at CHI 2021
Members of KIXLAB and collaborators will present three full papers and one late-breaking-work poster at CHI 2021. Most KIXLAB members will be attending CHI.
Summer 2021 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.
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.