Be in touch!

Email: emjun at cs dot washington dot edu

Blog on a smattering of personal and research matters.

Ciao! Hola! Hello!

I'm a fourth year PhD student in Computer Science & Engineering at the University of Washington. I'm advised by Jeffrey Heer and Rene Just. My research brings together human-computer interaction, programming languages, and data science.

Open data is not enough to lower the barriers to data science. As more people from non-traditional statistical or programming backgrounds work with data, we have an exciting opportunity to rethink how we interact with and analyze data. I am excited to work on tools that help non-statistical experts analyze data correctly and quickly.

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. :)

Publications

Tea: A High-level Language and Runtime System for Automating Statistical Analysis
Eunice Jun, Maureen Daum, Jared Roesch, Sarah Chasins, Emery Berger, Rene Just, and Katharina Reinecke
ACM User Interface Software and Technology (UIST) 2019 tea-lang.org CODE PDF

Circadian Rhythms and Physiological Synchrony: Evidence of the Impact of Diversity on Small Group Creativity
Eunice Jun, Daniel McDuff, and Mary Czerwinski
ACM CSCW 2019 PDF

Latent Space Cartography: Visual Analysis of Vector Space Embeddings
Yang Liu, Eunice Jun, Qisheng Li, and Jeffrey Heer
Computer Graphics Forum (EuroVis) CODE PDF

Digestif: Promoting Science Communication in Online Experiments
Eunice Jun, Blue Jo, Nigini Oliveira, and Katharina Reinecke
PACM on Human-Computer Interaction 1(3) Nov., 2018 PDF

The Potential for Scientific Outreach and Learning in Mechanical Turk Experiments
Eunice Jun, Morelle Arian, and Katharina Reinecke
ACM Learning at Scale 2018. PDF

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
Honorable Mention (Top 5%)

Citizen Science Opportunities in Volunteer-Based Online Experiments
Nigini Oliveira, Eunice Jun, and Katharina Reinecke
ACM CHI 2017 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 PDF
One of 5 papers chosen for special issue

Workshops and Demos

Experimental Design as Programs
Eunice Jun, Jared Roesch, and Sarah Chasins
PNW PLSE 2018

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



Inspiration

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.