My research focuses on developing systems to lower the costs for individuals in making sense of the web while simultaneously capturing their work processes to benefit future users. I am driven to productize cutting-edge research to make a profound impact on millions of people. My research broadly spans and draws from the fields of Human-Computer Interaction, AI, and Sensemaking.

I am a post-doctoral and Swartz Innovation fellow at Carnegie Mellon University, where I am advised by Professor Niki Kittur. I received a PhD in Technology and Social Behavior from Northwestern University, where I was advised by Professor Haoqi Zhang. I hold a bachelor's degree in Computer Science from Tsinghua University, and a master's degree in Computer Science from Swiss Federal Institute of Technology in Lausanne (EPFL).

Recent Publications

Understanding Trust amid Delays in Crowdfunding
Yongsung Kim, Aaron Shaw, Haoqi Zhang, Elizabeth Gerber
CSCW 2017 | slides
Studying the Effects of Task Notification Policies on Participation and Outcomes in On-the-go Crowdsourcing
Yongsung Kim, Emily Harburg, Shana Azria, Aaron Shaw, Elizabeth Gerber, Darren Gergle, Haoqi Zhang
HCOMP 2016 | slides
Habitsourcing: Sensing the Environment through Immersive, Habit-Building Experiences
Katherine Lin, Henry Spindell, Scott Cambo, Yongsung Kim, Haoqi Zhang
UIST 2016
Postdoctoral Fellow
Human-Computer Interaction Institute
School of Computer Science
Carnegie Mellon University