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.
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.
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 Taesoo).
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!
Mina wins a the grand prize at the 2020 URP
Mina won the grand prize at the 2020 Winter/Spring URP (Undergraduate Research Program) Program Workshop. She was mentored by Minsuk and Juho.
Summer 2020 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.
Two CHI 2020 late-breaking work (LBW) papers accepted
Two late breaking work papers to CHI 2020 have been accepted: “Leveraging the Crowd to Support the Conversation Design Process” led by Yoonseo Choi and “Consensus Building in Collaborative Sequencing with Visual Awareness” led by Tae Soo Kim.