Conference and journal papers


Compter science

  1. Jun, E., Seo, A., 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).
  2. Jun, E., 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).
  3. McDuff, D., Jun, E., Rowan, K., & Czerwinski, M. (2021). Longitudinal Observational Evidence of the Impact of Emotion Regulation Strategies on Affective Expression. IEEE Transactions on Affective Computing.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.

Multidisciplinary

  1. Under submission.

Workshop, demo, and poster papers


*denotes equal contribution

  1. Birchfield*, M., & Jun*, E. M. (2021). Adapting Reorderable Matrices for Qualitative Analysis. Human-Data Interaction Workshop at IEEE Visualization Conference (IEEE VIS).
  2. 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.
  3. 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.
  4. Jun, E. M., Roesch, J., & Chasins, S. E. (2018). Experimental Design as Programs. Pacific Northwest Programming Languages and Software Engineering (PNW PLSE) Workshop.
  5. 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).
  6. 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.