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.

2021

Keke Wu, Emma Petersen, Tahmina Ahmad, David Burlinson,, E. Shea Tanis, & Danielle Albers Szafir. "Understanding Data Accessibility for People with Intellectual and Developmental Disabilities." Proceedings of the 2021 Conference on Human Factors in Computing Systems (CHI 2021), 2021 (conditionally accepted).

Paper Coming Soon
Barrett Ens, Benjamin Bach, Maxime Cordeil, Ulrich Engelke, Marcos Serrano, Wesley Willett, Arnaud Prouzeau, Christoph Anthes, Wolfgang Buschel, Cody Dunne, Tim Dwyer, Jens Grubert, Jason Haga, Nurit Kirshenbaum, Dylan Kobayashi, Tica Lin, Monsurat Olaosebikan, Fabian Pointecker, David Saffo, Nazmus Saquib, Dieter Schmalsteig, Danielle Albers Szafir, Matt Whitlock,, & Yalong Yang. "Grand Challenges in Immersive Analytics." Proceedings of the 2021 Conference on Human Factors in Computing Systems (CHI 2021), 2021 (conditionally accepted).

Paper Coming Soon
William Christopher Payne, Yoav Bergner, Mary Etta West, Carlie Charp, R. Benjamin Shapiro, Danielle Albers Szafir, Edd Taylor, & Kayla DesPortes. "danceON: Culturally Responsive Creative Computing for Data Literacy." Proceedings of the 2021 Conference on Human Factors in Computing Systems (CHI 2021), 2021 (conditionally accepted).

Paper Coming Soon
Daniel J. Szafir & Danielle Albers Szafir. "Connecting Human-Robot Interaction and Data Visualizations." Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2021), 2021 (conditionally accepted).

Paper | Design Example
Jeremy Muesing, Nisar Ahmed, Luke Burks, Michael Iuzzolino, & Danielle Albers Szafir. "Fully Bayesian Human-Machine Data Fusion for Robust Online Dynamic Target Characterization." Journal of Aerospace Information Systems, 2021.

Paper Coming Soon
Danielle Albers Szafir, Francesca Samsel, Stephanie Zeller, & Richard Saltus. "Enabling Crosscutting Visualization for Geoscience." Computer Graphics & Applications, 2021.

Paper Coming Soon
Madison Elliott, Cindy Xiong, Christine Nothelfer, & Danielle Albers Szafir. "A Design Space of Vision Science Methods for Visualization Research." IEEE Transactions on Visualization & Computer Graphics, 2021. Part of the Proceedings of IEEE VIS 2020.[Best Paper Honorable Mention]

Paper
Khairi Reda & Danielle Albers Szafir. "Rainbows Revisited: Modeling Effective Colormap Design for Graphical Inference." IEEE Transactions on Visualization & Computer Graphics, 2021. Part of the Proceedings of IEEE VIS 2020.

Paper

2020

Matt Whitlock, Danielle Albers Szafir & Kenny Gruchalla. "HydrogenAR: Interactive Data-Driven Storytelling for Dispenser Reliability." Proceedings of the Joint IEEE/ACM International Symposium on Mixed and Augmented Reality (ISMAR), 2020.

Paper
Muyang Shi, Danielle Albers Szafir, & Eric Alexander. "Effect of Word Placement on At-a-glance Perception in Word Clouds." Poster Proceedings of IEEE VIS, 2020.

Matt Whitlock, Stephen Smart, & Danielle Albers Szafir. "Graphical Perception for Immersive Analytics." Proceedings of the IEEE Conference on Virtual Reality (VR), 2020. [Best Paper Nominee]

Paper | Project Page | Talk
Matt Whitlock,, Daniel Leithenger, Daniel Szafir, & Danielle Albers Szafir. "Toward Effective Multimodal Interaction in Augmented Reality." Proceedings of the 2020 ACM SIGCHI Workshop on Immersive Analytics, 2020.

Paper
Matt Whitlock, Jake Mitchell, Nick Pfeufer, Brad Arnot, Ryan Craig, Bryce Wilson, Brian Chung, & Danielle Albers Szafir. "MRCAT: In Situ Prototying of Interactive AR Environments." Proceedings of the International Conference on Virtual and Mixed Reality (VAMR), 2020.

Paper
David Burlinson & Danielle Albers Szafir. "Shape size judgments are influenced by fill and contour closure." Proceedings of the Annual Meeting of the Vision Sciences Society, 2020.
Muyang Shi, Danielle Albers Szafir, & Eric Alexander. "A Survey of Data and Encodings in Word Clouds." Digital Humanities, 2020.
Matt Whitlock, Keke Wu, & Danielle Albers Szafir. "Designing for Mobile and Immersive Visual Analytics in the Field." Transactions on Visualization & Computer Graphics, 2020. 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. 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.

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