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.
Facilitating listening in online space by reducing stereotypes on people with different opinions.
Facilitating consensus building in the collaborative construction of item sequences with system support.
How can we design persuasive interface elements for civil commenting and improving trust and transparency among the user in online discussion?
Analyzing K-MOOC Learners' Data
Three CHI 2020 papers conditionally accepted
Three KIXLAB papers have been conditionally accepted to CHI 2020: “SolutionChat: Real-time Moderator Support for Chat-based Structured Discussion” (led by Sung-Chul), “Snapstream: Snapshot-based Interaction in Live Streaming for Visual Art”(led by Saelyne), and “Understanding Users’ Perception Towards Automated Personality Detection with Group-specific Behavioral Data” (led by Seoyoung).
CSCW Asia Winter School
Seoyoung, Jibon, Hoon, and Juho are attending the CSCW Asia Winter School held in Kyoto, Japan, on December 13-14, 2019. Seoyoung, Jibon, and Hoon will be presenting their posters. Juho is one of the organizers.
KIXLAB at CSCW 2019
Members of KIXLAB and collaborators will present two full papers and participate in two workshops at CSCW 2019. Three of us will be there.
Winter 2020 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.
We launched the byulbyul.kr <별별생각> system!
In collaboration with SBS (Korean national TV network), we recently launched an experimental online platform called “별별생각”, where people can share their characteristics as well as their opinions on social issues, and see the distribution of opinions and search for people with shared characteristics.
CSCW 2019: ManyThoughts paper wins a Best Paper Honorable Mention award.
Our “Efficient Elicitation Approaches to Estimate Collective Crowd Answers” paper wins a Best Paper Honorable Mention Award for CSCW 2019. This project started as John’s internship project in KIXLAB and evolved into a collaboration with colleagues at the University of Michigan.
UIST 2019: Minsuk's Doctoral Symposium submission is accepted.
Minsuk’s Doctoral Symposium submission to UIST 2019 have been accepted: Data Structures for Designing Interactions with Contextual Task Support.
CSCW 2019: 2 papers accepted
We’re happy to share that two papers from KIXLAB and collaborators have been conditionally accepted to CSCW2019.
Hyunwoo and Mathias successfully defended their MS theses
Both Hyunwoo and Mathias successfully defended their Master’s theses. Congrats!
Hyunwoo’s thesis is titled “PolicyScape: Crowdsourcing Perspectives on Public Policies from Stakeholders”. Hyunwoo is continuing as a Ph.D. student in KIXLAB.
Mathias’s thesis is titled “Improving Learning Plans with Peer Goal Revision”. Mathias will be working as a software engineer in Copenhagen.
Minsuk starts an internship at Microsoft Research
Minsuk will be spending the summer at Microsoft Research in Redmond, US, to work on conversational interfaces.