Publications

Data Visualization

2017
  • Kim, Y., Reinecke, K., & Hullman, J. (2017). Data Through Others' Eyes: The Impact of Visualizing Others' Expectations on Visualization Interpretation. In IEEE InfoVis 2017.

  • Howe, B., Lee, P., Grechkin, M., Yang, S. T., & West, J. (2017). Deep Mapping of the Visual Literature. In WWW: Big Scholar.

  • Kim, Y., Reinecke, K., & Hullman, J. (2017). Explaining the Gap: Visualizing One's Predictions Improves Recall and Comprehension of Data. In ACM CHI Conference on Human Factors in Computing Systems 2017.

  • Hullman, J., Kosara, R., & Lam, H. (2017). Finding a Clear Path: Structuring Strategies for Visualization Sequences. In EuroVis 2017.

  • Kim, Y., Wongsuphasawat, K., Hullman, J., & Heer, J. (2017). Graphscape: A Model for Automated Reasoning about Visualization Similarity and Sequencing. In ACM CHI Conference on Human Factors in Computing Systems 2017.

  • Hullman, J., Kay, M., Kim, Y., & Shrestha, S. (2017). Imagining Replications: Graphical Prediction and Discrete Visualizations Improve Recall & Estimation of Effect Uncertainty. In IEEE InfoVis 2017.

  • Qu, Z., & Hullman, J. (2017). Keeping Multiple Views Consistent: Constraints, Validations, and Exceptions in Visualization Authoring. In IEEE InfoVis 2017.

  • Qu, Z., & Hullman, J. (2017). Keeping Multiple Views Consistent: Learning from Designers' Perceptions and Practices. In IEEE VIS 2017.

  • Adar, E., Hullman, J., Gearig, C., & Balasubramanian, A. (2017). Persalog: Personalization of News Article Content. In ACM CHI Conference on Human Factors in Computing Systems 2017.

2016
  • Kim, Y., Nguyen, F., Hullman, J., & Agrawala, M. (2016). Atlas of Me.

  • Qu, Z., & Hullman, J. (2016). Evaluating Visualization Sets: Trade-offs Between Local Effectiveness and Global Consistency. In Proc. BELIV Workshop 2016.

  • Kim, Y., Hullman, J., & Agrawala, M. (2016). Generating Personalized Spatial Analogies for Distances and Areas. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI '16). New York, NY: ACM.

  • Kim, Y., Hullman, J., Burgess, M., & Adar, E. (2016). SimpleScience: Lexical Simplification of Scientific Terminology. In Conference on Empirical Methods in Natural Language Processing.

  • Kay, M., Kola, T., Hullman, J., & Munson, S. (2016). When(ish) is My Bus? User-centered Visualizations of Uncertainty in Everyday, Mobile Predictive Systems. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI '16). New York, NY: ACM.

  • Hullman, J. (2016). Why Evaluating Uncertainty Visualization is Error Prone. In BELIV Workshop 2016.

2015
2014
2013
2011
Unknown Year
  • Greis, M., Hullman, J., Correll, M., Kay, M., & Shaer, O. Designing for Uncertainty in HCI: When Does Uncertainty Help?. In CHI 2017 Conference on Human Factors in Computing Systems.