Conference and journal papers

*signifies research mentees

Compter science

  1. Jun, E., Misback, E., Heer, J., & Just, R. (2024). rTisane: Externalizing Conceptual Models for Data Analysis Prompts Reconsideration of Domain Assumptions and Facilitates Statistical Modeling. Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, 1–16.
      [PDF] Best paper (top 1%)
  2. Misback, E., Chan, C., Saiki, B., Jun, E., Tatlock, Z., & Panchekha, P. (2023). Odyssey: An Interactive Workbench for Expert-Driven Floating-Point Expression Rewriting. Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology.
  3. Gu, K., Jun, E., & Althoff, T. (2023). Understanding and Supporting Debugging Workflows in Multiverse Analysis. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 1–19.
  4. Tran O’Leary, J., Jun, E. M., & Peek, N. (2022). Verso: Extending Computational Notebooks for Exploratory Digital Fabrication. ACM Symposium on Computational Fabrication.
  5. Jun, E. M., Seo*, A. L., Heer, J., & Just, R. (2022). Tisane: Authoring Statistical Models via Formal Reasoning from Conceptual and Data Relationships. Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI).
  6. Jun, E. M., Birchfield*, M., De Moura*, N., Heer, J., & Just, R. (2022). Hypothesis Formalization: Empirical Findings, Software Limitations, and Design Implications. ACM Transactions on Computer-Human Interaction (TOCHI), 29(1).
  7. McDuff, D., Jun, E. M., Rowan, K., & Czerwinski, M. (2021). Longitudinal Observational Evidence of the Impact of Emotion Regulation Strategies on Affective Expression. IEEE Transactions on Affective Computing.
  8. Jun, E. M., Daum, M., Roesch, J., Chasins, S. E., Berger, E., Just, R., & Reinecke, K. (2019). Tea: A high-level language and runtime system for automating statistical analysis. Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology, 591–603.
  9. Jun, E. M., McDuff, D., & Czerwinski, M. (2019). Circadian rhythms and physiological synchrony: Evidence of the impact of diversity on small group creativity. Proceedings of the ACM on Human-Computer Interaction, 3(CSCW), 1–22.
  10. Liu, Y., Jun, E. M., Li, Q., & Heer, J. (2019). Latent space cartography: Visual analysis of vector space embeddings. Computer Graphics Forum, 38(3), 67–78.
  11. Jun, E. M., Jo*, B. A., Oliveira, N., & Reinecke, K. (2018). Digestif: promoting science communication in online experiments. Proceedings of the ACM on Human-Computer Interaction, 2(CSCW), 1–26.
  12. Jun, E. M., Arian, M., & Reinecke, K. (2018). The potential for scientific outreach and learning in mechanical turk experiments. Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 1–10.
  13. Jun, E. M., Hsieh, G., & Reinecke, K. (2017). Types of motivation affect study selection, attention, and dropouts in online experiments. Proceedings of the ACM on Human-Computer Interaction, 1(CSCW), 1–15.
      [PDF] Best paper honorable mention (top 5%)
  14. Oliveira, N., Jun, E. M., & Reinecke, K. (2017). Citizen science opportunities in volunteer-based online experiments. Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI), 6800–6812.
  15. Jun, E. M., Stefanucci, J. K., Creem-Regehr, S. H., Geuss, M. N., & Thompson, W. B. (2015). Big foot: Using the size of a virtual foot to scale gap width. ACM Transactions on Applied Perception (TAP), 12(4), 1–12.
      [PDF] One of 5 papers chosen for special issue

Multidisciplinary

  1. Johnson, E. K., Wojtesta, M. A., Crosby, S. W., Duber, H. C., Jun, E. M., Lescinsky, H., Nguyen, P., Sahu, M., Thomson, A., Tsakalos, G., & others. (2022). Varied Health Spending Growth Across US States Was Associated With Incomes, Price Levels, And Medicaid Expansion, 2000–19: Study examines factors associated with health spending growth across the US. Health Affairs, 41(8), 1088–1097.

Workshop, demo, and poster papers

*signifies research mentees ^signifies equal contribution

  1. Vachha*, C., Kang*, Y., Dive*, Z., Chidambaram, A., Gupta, A., Jun, E., & Hartmann, B. (2024). Dreamcrafter: Immersive Editing of 3D Radiance Fields Through Flexible, Generative Inputs and Outputs. Adjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology (Poster), 1–3.
  2. Kallanagoudar*, P., Anand*, C., Garcia, R., Hicke, R. M. M., Parameswaran, A., Jun, E., & Chasins, S. E. (2024). Quilt: Custom UIs for Linking Unstructured Documents to Structured Datasets. Adjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology (Demo), 1–4.
  3. Misback*, E., Chan, C., Saiki, B., Jun, E., Tatlock, Z., & Panchekha, P. (2023). Odyssey: An Interactive Workbench for Expert-Driven Floating-Point Expression Rewriting. Companion of the 2023 ACM Conference on User Interface Software and Technology (Demo).
  4. Jun, E. (2023). Data analysis tools for statistical non-experts [PhD thesis]. University of Washington.
  5. Tran O’Leary, J., Jun, E. M., & Peek, N. (2022). Demonstrating Verso: Extending Computational Notebooks for Exploratory Digital Fabrication. Companion of the 2022 ACM Conference on User Interface Software and Technology (Demo).
  6. Birchfield*^, M., & Jun^, E. M. (2021). Adapting Reorderable Matrices for Qualitative Analysis. Human-Data Interaction Workshop at IEEE Visualization Conference (IEEE VIS).
  7. Pollock*, J., Oh*, G., Jun, E. M., Guo, P. J., & Tatlock, Z. (2020). The Essence of Program Semantics Visualizers: A Three-Axis Model. 11th Annual Workshop on the Intersection of HCI and PL (PLATEAU), Co-Located with ACM SPLASH.
  8. Jun, E. M., Berger, E., & Zorn, B. (2019). The Scone DSL: Smart Sampling for Smarter Statistics. 10th Annual Workshop on the Intersection of HCI and PL (PLATEAU), Co-Located with ACM UIST.
  9. Jun, E. M., Roesch, J., & Chasins, S. (2018). Experimental design as programs. Pacific Northwest Programming Languages and Software Engineering (PNW PLSE) Workshop.
  10. Jun^, E. M., Huber^, B., Gajos, K., & Reinecke, K. (2017). How Curiosity Attracts Participation in Volunteer-Based Online Experiments. Designing for Curiosity Worshop at the 2017 ACM Conference on Human Factors in Computing Systems (CHI).
  11. Oliveira, N., Jun, E. M., Croxson, T., Gajos, K. Z., & Reinecke, K. (2017). Labinthewild: How to Design Uncompensated, Feedback-driven Online Experiments. Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, 25–28.
  12. Jun, E., & Grenfell-Dexter, R. (2014). ManíPlus: A Holistic Approach to Malnutrition in Guatemala. Global Health and Innovation Conference.

Dissertation

  1. Jun, E. (2023). Data analysis tools for statistical non-experts [PhD thesis]. University of Washington.