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.
Integrating reflection and practice into video learning for improving learning experience and task performance in creative tasks
How can we leverage the content of slide-based lecture video to improve learner's watching experience?
Building online crowdsourcing platform to collect contextual, emotional, and intentional labels on dialog videos
Building data-driven personas in smart space by analyzing interactions at scale
KIXLAB at CHI 2019
Members of KIXLAB and collaborators will present one full paper and two late-breaking-work posters at CHI 2019. Nine members of KIXLAB will be attending CHI.
Minsuk wins the Best Talk Award at pre-CHI Workshop
Minsuk wins the Best Talk Award from SIGCHI Local Chapter pre-CHI Workshop at KAIST. He gave an outstanding talk on his paper “How to Design Voice Based Navigation for How-To Videos”.
SIGCHI Local Chapter pre-CHI Workshop
The ACM SIGCHI Korea Local Chapter held a pre-CHI workshop for researchers in Korea. Juho and Yoonseo organized the event as local co-chairs. At the workshop, researchers presented 12 full papers and 12 posters that were accepted to CHI 2019.
Saelyne wins a prestigious Kwanjeong scholarship
Saelyne wins a prestigious Kwanjeong scholarship awarded to outstanding grad students in the nation in all of science and engineering. She was the one candidate selected by the department and among ~6 recipients from KAIST.
Summer 2019 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.
Hyeungshik & Hyungyu get their MS degrees; Hyungyu gets a thesis award!
Hyeungshik and Hyungyu officially completed their MS degrees. Hyeungshik joins NAVER as a software engineer, and Hyungyu continues as a Ph.D. student in KIXLAB.
Hyungyu wins an outstanding MS thesis award from the department!
Two CHI 2019 late-breaking work (LBW) papers accepted
Two late breaking work papers to CHI 2019 have been accepted: “Crowdsourcing Perspectives on Public Policy from Stakeholders” led by Hyunwoo Kim and “SolveDeep: A System for Supporting Subgoal Learning in Online Math Problem Solving” led by Hyoungwook Jin.
Hyeungshik and Hyungyu successfully defended their Master thesis
Hyeungshik’s thesis is titled “DynamicLecture: Enabling Direct Revision of Slide-based Lecture Videos”.
Hyungyu’s thesis is titled “Understanding the Effect of In-Video Prompting on Learners and Instructors”.
Voice video navigation paper accepted to CHI 2019
Our paper “How to Design Voice Based Navigation for How-To Videos” led by Minsuk Chang with collaborators at Adobe and Stanford is accepted to CHI 2019.
Popup paper accepted to IUI 2019
Our paper “Popup: Reconstructing 3D Video Using Particle Filtering to Aggregate Crowd Responses” led by Jean Song with collaborators at Michigan is accepted to IUI 2019.