Email: emjun at cs dot washington dot edu


Dec 1-5: Bay Area (DanceHack)

Ciao! Hola! Hello!

I'm a second year PhD student in Computer Science & Engineering at the University of Washington. I work with Katharina Reinecke.

Broadly, I am interested in supporting creative and collaborative learning in novel domains.

Specifically, I am excited to understand participants' and researchers' motivations, behaviors, needs, and goals in large-scale online experiments. To assess these, I use a mixture of quantitative and qualitative methods. Then, I build tools to support researcher and participant learning. Online experiments are an exciting area to explore creative and collaborative learning because they are increasingly used in fields ranging from medicine, neuroscience, computer science, and political science, among many others. There are unexplored opportunities to design learning opportunities to not only increase global knowledge of cutting edge research in all these areas but also improve the quality of data.

Research interests: Human-computer interaction, learning, citizen science, large-scale online experimentation, artificial intelligence

Collaborators: I feel super lucky to work with Katharina Reinecke; Blue Jo, an exceptional undergraduate; Nigini Oliveira; Morelle Arian; Gary Hsieh; Max Willsey; Jared Roesch; and Daniela Rosner.

Before coming to UW: I completed dual B.S. degrees in cognitive science and computer science at Vanderbilt University. For my honors thesis, I studied visual perception (Gibsonian affordances) in virtual environments with advisement from Bobby Bodenheimer and John Rieser.

Who am I?: When I am not online or dancing down the sidewalk, I can be found with a book at a local cafe (winter), sitting at a park bench with a popsicle (spring & summer), and walking around the lakes (fall). All year round, I also love observing people engaged in different creative practices (e.g., glassblowing, dance, cooking, woodworking, etc.) and using them as alternative framings for human-computer interaction.

If you happen upon the city and would like to chat, please ping or ring me! Coffee on me, of course. :)


The Potential for Scientific Outreach and Learning in Mechanical Turk Experiments
Eunice Jun, Morelle Arian, and Katharina Reinecke
ACM Learning and Scale (To appear).

Types of Motivation Affect Study Selection, Attention, and Dropouts in Online Experiments
Eunice Jun, Gary Hsieh, and Katharina Reinecke
PACM on Human-Computer Interaction 1(2) Nov., 2017 PDF

Citizen Science Opportunities in Volunteer-Based Online Experiments
Nigini Oliveira, Eunice Jun, and Katharina Reinecke

How Curiosity Attracts Participation in Volunteer-Based Online Experiments
Eunice Jun, Bernd Huber, Krzysztof Gajos, and Katharina Reinecke
ACM CHI 2017: Designing for Curiosity Workshop PDF

LabintheWild: How to Design Uncompensated, Feedback-driven Online Experiments
Nigini Oliveira, Eunice Jun, Trevor Croxson, Krzysztof Gajos, and Katharina Reinecke
ACM CSCW 2017: Demo PDF

BigFoot: Using the Size of a Virtual Foot to Scale Gap Width.
Eunice Jun, Jeanine Stefanucci, Sarah Creem-Regehr, Michael Geuss, and William Thompson
ACM Transactions on Applied Perception (One of 5 papers chosen for special issue) PDF


Success is liking yourself, liking what you do, and liking how you do it. -- Maya Angelou

Dancing is just discovery, discovery, discovery — what it all means… -- Martha Graham || Research feels like a dance to me.