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 designing new interactive systems that leverage and support interaction at scale.

Recent projects

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

Latest news

Winter 2019 Undergraduate Research Internship

We are looking for a few undergraduate research interns to join KIXLAB this winter. You can find the details on Prof. Juho Kim’s website.

Many Ideas paper accepted to CSCW 2018

Our paper “Personalized Motivation-supportive Messages for Increasing Participation in Crowd-civic Systems” led by Paul Grau is accepted to CSCW 2018.

FourEyes paper accepted to ACM TIIS

Our paper “FourEyes: Leveraging Tool Diversity as a Means to Improve Aggregate Accuracy in Crowdsourcing” led by Jean Song with collaborators at Michigan is accepted to ACM Transactions on Interactive Intelligent Systems (TIIS).

DynamicSlide paper accepted to UIST 2018 poster track && ACM MM workshop

“DynamicSlide: Reference-based Interaction Techniques for Slide-based Lecture Videos” led by Hyeungshik Jung is accepted to UIST 2018’s poster track as well as MAHCI 2018 Workshop @ ACM Multimedia.

Seoyoung and Paul successfully defended their Master thesis

Both Seoyoung and Paul successfully defended their Master thesis as first students to graduate from KIXLAB. Congrats!

Seoyoung’s thesis is titled “Automatic Workplace Personality Detection from Online and Offline Behavior Analysis”.

Paul’s thesis is titled “Effects of Personalization on Participation in Crowd-civic Systems”.

Many Ideas for KAIST: The Most Interesting Ideas

In our Many Ideas platform, every member of KAIST can post and react to ideas. In this article, we summarize the initial results.

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KIXLAB at CHI 2018

Members of KIXLAB and collaborators will present seven full papers and three late-breaking-work posters at CHI 2018. Eight members of KIXLAB will be attending CHI.

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Summer 2018 Undergraduate Research Internship

We are looking for a few undergraduate research interns to join KIXLAB this summer. You can find the details on Prof. Juho Kim’s website.

Our paper wins a Best Student Paper Honorable Mention at IUI 2018

The Tool Diversity paper by Jean Y. Song, Raymond Fok, Alan Lundgard, Fan Yang, Juho Kim, and Walter S. Lasecki wins a Best Student Paper Honorable Mention Award at IUI2018.

Three CHI 2018 late-breaking work (LBW) papers accepted

Three late breaking work papers to CHI 2018 have been accepted: civic engagement, data-driven personality detection, and learnersourcing.

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