Research Interest
My research interest is to devise persuasive and interactive systems that support health behavior change by leveraging pervasive sensing, context-aware computing, and machine learning. One of my research achievements is to build exertion-based games for multiple swimmers, where I tackled several challenges, including underwater communication via off-the-shelf network technologies, recognition of different swimming styles/motions for utilizing them as inputs to the game and designing games concerning limited sensory and cognitive resources during swimming. Another approach is to explore a physically active workspace with active workstations, in which I studied the effects of dual-tasking (i.e., simultaneous execution of a desk-based task and workout using active workstations) and temporal changes in motivations on the usage of active workstations. The recent research focuses on devising a just-in-time adaptive intervention that provides the right type of support at the right time. To this end, through statistical analysis, I have explored contextual and cognitive factors on the receptivity to just-in-time support. In addition, I am on track to (1) building a machine-learning model to predict receptivity using high-dimensional mobile data and (2) devising incentivized interventions. In the latter research, an incentive is dynamically changed regarding previous response behaviors on interventions and contextual factors by leveraging reinforcement learning and multi-armed bandit.
Here is the more intuitive introduction of my research interest (in Korean): Link
Education
Ph.D. in Knowledge Service Engineering (Mar. 2015 - Aug. 2021)
Grad. School of Knowledge Service Engineering, Korea Advanced Institute of Science and Technology (KAIST), South Korea (Advisor: Uichin Lee)
M.S in Knowledge Service Engineering (Mar. 2013 - Feb. 2015)
Grad. School of Knowledge Service Engineering, Korea Advanced Institute of Science and Technology (KAIST), South Korea (Advisor: Uichin Lee)
B.S in Computer Science (Mar. 2006 - Feb. 2013)
Department of Computer Science, Korea Advanced Institute of Science and Technology (KAIST), South Korea
Work Experience
Assistant Professor (Sep. 2023 - Present)
Dept. of Computer Science and Engineering, Kangwon National University, South Korea
Post-doc Researcher (Sep. 2021 - Aug. 2023)
Information & Electronics Research Institute, Korea Advanced Institute of Science and Technology (KAIST), South Korea
Research Intern (Jun. 2012 - Aug. 2012)
Korean Institute of Science and Technology Information (KISTI), South Korea
Awards and Recognition
Gaetano Borriello Outstanding Student Award Finalist (2020)
Designing Interactive Technologies to Encourage Physical Activities for Health Behavior Promotion
Research presented in Microsoft Research Blog (2016)
Boosting fitness and workplace performance looks to machine learning for answers
Microsoft Japan-Korea Academic Day 2016 Poster/Demo Award 2nd Prize (2016)
Project title: Designing Interactive Technologies for Active Workstations
Yearly Outstanding Research Award (2016)
Grad. School of Knowledge Service Engineering, Korea Advanced Institute of Science and Technology (KAIST), South Korea
Research presented in Microsoft Research Blog (2015)
The SwimTrain exergame makes swim workouts fun again
Microsoft Korea-Japan Academic Day 2015 Poster/Demo Award 3rd Prize (2015)
Project title: Designing Interactive Exercise Games for Group Fitness Swimming
Academic Services
- External Reviewer, JMIR mHealth & uHealth (2022 - 2023)
- Associate Chair, MobileHCI ‘22, ‘23
- External Reviewer, IEEE Pervasive Computing (2021)
- External Reviewer, ACM CHI 2021 Late-Breaking Work (2021)
- External Reviewer, ACM HEALTH (2019)
- External Reviewer, ACM IMWUT, Aug 2019 (2019)
- External Reviewer, ACM CHI 2020 Papers (2019)
- External Reviewer, ACM CHI 2017 Papers and Notes (2017)