Zehua Zeng
- Vega-Datasets repository. https://vega.github.io/vega-datasets/Google Scholar
- Zeng, Z., Moh, P., Du, F., Hoffswell, J., Lee, T.Y., Malik, S., Koh, E., and Battle, L. An evaluation-focused framework for visualization recommendation algorithms. IEEE Trans. on Visualization and Computer Graphics 28, 1 (2021), 346--356.Google Scholar
- Zeng, Z. and Battle, L. A Review and Collation of Graphical Perception Knowledge for Visualization Recommendation. arXiv preprint 2023; https://arxiv.org/abs/2109.01271Google Scholar
- Borgo, R., Abdul-Rahman, A., Mohamed, F., Grant, P.W., Reppa, I., Floridi, L., and Chen, M. An empirical study on using visual embellishments in visualization. IEEE Trans. on Visualization and Computer Graphics 18, 12 (2012), 2759--2768.Google ScholarDigital Library
- Cleveland, W.S. and McGill, R. Graphical perception: Theory, experimentation, and application to the development of graphical methods. Journal of the American Statistical Association 79, 387 (1984), 531--554.Google ScholarCross Ref
- Moritz, D., Wang, C., Nelson, G.L., Lin, H., Smith, A.M., Howe, B., and Heer, J. Formalizing visualization design knowledge as constraints: Actionable and extensible models in Draco. IEEE Trans. on Visualization and Computer Graphics 25, 1 (2018), 438--448.Google Scholar
Index Terms
- Using Graphical Perception in Visualization Recommendation
Recommendations
A Review and Collation of Graphical Perception Knowledge for Visualization Recommendation
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing SystemsSelecting appropriate visual encodings is critical to designing effective visualization recommendation systems, yet few findings from graphical perception are typically applied within these systems. We observe two significant limitations in translating ...
Personalized Visualization Recommendation
Visualization recommendation work has focused solely on scoring visualizations based on the underlying dataset, and not the actual user and their past visualization feedback. These systems recommend the same visualizations for every user, despite that the ...
Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco
Findings from graphical perception can guide visualization recommendation algorithms in identifying effective visualization designs. However, existing algorithms use knowledge from, at best, a few studies, limiting our understanding of how complementary (...
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