VisuaLab member publications prior to 2016 were completed at the University of Wisconsin-Madison Visual Computing Lab. Visit Dr. Szafir's personal website for a complete list of publications prior to 2016.

2020

Matt Whitlock, Keke Wu, & Danielle Albers Szafir. "Designing for Mobile and Immersive Visual Analytics in the Field." Transactions on Visualization & Computer Graphics, 2020 (to appear). Part of the Proceedings of IEEE VIS 2019.

Paper | Project Page
Stephen Smart, Keke Wu, & Danielle Albers Szafir. "Color Crafting: Automating the Construction of Designer Quality Color Ramps." Transactions on Visualization & Computer Graphics, 2020 (to appear). Part of the Proceedings of IEEE VIS 2019.

Paper | Project Page

2019

Keke Wu, Shea Tanis, & Danielle Albers Szafir. "Designing Communicative Visualization for People with Intellectual Developmental Disabilities." VisComm Workshop at IEEE VIS 2019.

Paper
Harshini Muthukrishnan & Danielle Albers Szafir. "Using Machine Learning and Visualization for Qualitative Inductive Analyses of Big Data." Machine Learning from User Interactions Workshop at IEEE VIS 2019.

Paper
Dasha Pruss, Yoshinari Fujinuma, Ashlynn R. Daughton, Michael J. Paul, Brad Arnot, Danielle Albers Szafir & Jordan Boyd-Graber. "Zika discourse in the Americas: a multilingual topic analysis of Twitter." PLoS ONE. 14(5), 2019.

Paper | Data
Matt Whitlock & Danielle Albers Szafir. "Situated Prototyping of Data-Driven Applications in Augmented Reality." In the Proceedings of the Interaction Design & Prototyping for Immersive Analytics Workshop at CHI 2019, 2019.

Stephen Smart & Danielle Albers Szafir. "Measuring the Separability of Shape, Size, and Color in Scatterplots." In the Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 2019.

Paper | Project Page
Shea Tanis, Danielle Albers Szafir, & Keke Wu. "Accessible Data: Understanding Visualization Literacy and Graphical Perceptions of People with Intellectual and Developmental Disabilities." American Association on Intellectual and Developmental Disabilities (AAIDD), 2019.

Bongshin Lee, Kate Isaacs, Danielle Albers Szafir, G.E. Marai, Cagatay Turkay, Melanie Tory, Sheelagh Carpendale, & Alex Endert. "Broadening Intellectual Diversity in Visualization Research Papers." IEEE Computer Graphics & Applications, 2019 (to appear).

Paper | Project Page
Jeremy Muesing, Luke Burks, Michael Iuzzolino, Danielle Albers Szafir, & Nisar Ahmed. "Fully Bayesian Human-Machine Data Fusion for Robust Dynamic Target Surveillance and Characterization." AIAA SciTech Forum, 2019.

Paper
Hayeong Song & Danielle Albers Szafir. "Where's My Data? Evaluating Visualizations with Missing Data." IEEE Transactions on Visualizations and Computer Graphics, 25(1): 914-924, 2019. In Proceedings of IEEE VIS 2018.

Paper | Project Page

2018


Danielle Albers Szafir. "The Good, the Bad, and the Biased: Five Ways Visualizations can Mislead (and How to Fix Them)." ACM Interactions, 25(4): 26-33, 2018.

Paper
Alper Sarikaya, Michael Gleicher, & Danielle Albers Szafir. "Design Factors for Summary Visualization in Visual Analytics." Computer Graphics Forum, 2018. In Proceedings of EuroVis 2018.

Paper | Project Page
Matt Whitlock, Ethan Hanner, Jed Brubaker, Shaun Kane & Danielle Albers Szafir. "Interacting with Distant Objects in Virtual Reality." IEEE Virtual Reality, 2018.

Paper | Project Page
Danielle Albers Szafir. "Modeling Color Difference for Visualization Design." IEEE Transactions on Visualization and Computer Graphics, 2018. In Proceedings of the 2017 IEEE VIS Conference. [Best Paper Award]

Paper | Video Preview | Project Page

2017

Catherine Diaz, Michael Walker, Danielle Albers Szafir, and Daniel Szafir. "Designing for Depth Perceptions in Augmented Reality." Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2017.

Paper | Video | Project Page
Christie Nothelfer, Zoya Bylinskii, Madison Elliott, Cindy Xiong, and Danielle Albers Szafir. "Visualization Meets Vision Science." IEEE VIS Panels, 2017.

Paper
Annie Kelly, Matthew Whitlock, Brienne Nickoloff, Angel Lam, Danielle Albers Szafir, and Steven Voida. "Becoming Butterflies: Interactive Embodiment of the Butterfly Lifecycle." UbiComp Poster Proceedings, 2017.

Paper
Dasha Pruss, Ashlynn Daughton, Brad Arnot, Danielle Albers Szafir, and Michael Paul. "Content Analysis of Zika Related Tweets." American Public Health Association Annual Conference, 2017.



Danielle Albers Szafir. "The Effects of Shape and Size on Perceived Color Difference." Journal of Vision, 2017. In Proceedings of the 2017 Vision Science Society Annual Conference.

Paper | Poster




2016


Danielle Albers Szafir, Steve Haroz, Michael Gleicher, and Steven Franconeri. "Four Types of Ensemble Encoding in Data Visualization." Journal of Vision, 16(11), 2016.

Paper | Supplemental Materials | Examples Repository
Danielle Albers Szafir, Alper Sarikaya, and Michael Gleicher. "Lightness Constancy in Surface Visualization." Transactions on Visualization and Computer Graphics. 22(9), 2016.

Paper
Danielle Albers Szafir, Deidre Stuffer, Yusef Sohail, & Michael Gleicher. "TextDNA: Visualizing Word Usage Patterns with Configurable Colorfields." Computer Graphics Forum, 2016. In Proceedings of the 2016 Eurographics Conference on Visualization (EuroVis).

Paper | Video | Project Page

Danielle Albers Szafir & Daniel Szafir. "Cognitive Load in Visualization: Myths & Misconceptions." Creation, Curation, Critique, and Conditioning of Principles and Guidelines in Visualization (C4PGV) Workshop, 2016.

Paper
Danielle Albers Szafir & Michael Gleicher. "Visualization-Aware Color Design." EuroVis, 2016.

Abstract | Poster
Danielle Albers Szafir. "Considering Connectivity for Visualization Design." Human-Computer Interaction Consortium, 2016.

Paper