My research helps people and their communities advance and balance their individual and collective goals. I design technologies that do not enforce rigid ways of working and collaborating but that instead surface flexible ways to advance goals of interest as opportunities arise.

I design and build intelligent systems, and evaluate built systems in simulation and through user studies. My research broadly spans and draws from the fields of human-computer interaction (HCI), social computing, and AI.

I am a post-doctoral fellow in the Human-Computer Interaction Institute 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. My dissertation designs and develops intelligent systems for flexible coordination and advances the design of on-the-go crowdsourcing systems that opportunistically recruit members in a community to make small, convenient contributions to flexibly and efficiently achieve collective goals through their existing routines. 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

Motivational Qualities of Songs for Daily Activities
Yongsung Kim, Luca Aiello, Daniele Quercia
EPJ Data Science 2020
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