Matt-Heun Hong, Zachary Sundberg, & Danielle Albers Szafir. "Cieran: Designing Sequential Colormaps via In- Situ Active Preference Learning." To appear at the 2024 Conference on SIGCHI Conference on Human Factors in Computing Systems (CHI). Honolulu, Hawaii.

Paper
Jade Kandel, C.J. Parker, Qian Zheng, Harold Jiang, Angelos Angelopoulos, Ashley Neall, Pranav Wagh, Daniel Szafir, Henry Fuchs, Mike Lewek, & Danielle Albers Szafir. "PD-Insighter: A Visual Analytics System to Monitor Daily Actions for Parkinson’s Disease Treatment." To appear at the 2024 Conference on SIGCHI Conference on Human Factors in Computing Systems (CHI). Honolulu, Hawaii.

Paper
Ghulam Jilani Quadri, Zeyu Wang, Zhehao Wang, Jennifer Ardono, Paul Rosen, & Danielle Albers Szafir. "Do You See What I See? Eliciting High-Level Visualization Comprehension." To appear at the 2024 Conference on SIGCHI Conference on Human Factors in Computing Systems (CHI). Honolulu, Hawaii.

Paper
Ian Thomas, Song Young Oh, & Danielle Albers Szafir. "Assessing User Trust in Active Learning Systems: Insights from Query Policy and Uncertainty Visualization." In the Proceedings of the 2024 ACM Conference on Intelligent User Interfaces (IUI), 2024. Greenville, South Carolina.

Paper
M. Dilshad Rahman, Ghulam Jilani Quadri, Danielle Albers Szafir, & Paul Rosen. "Exploring Annotation Taxonomy in Grouped Bar Charts: A Qualitative Classroom Study.” To appear in Information Visualization.
Briana Wimer, Lauren South, Keke Wu, Danielle Albers Szafir, Michelle Borkin & Ronald Metoyer. "Beyond Vision Impairments: Redefining the Scope of Accessible Data." To appear in IEEE Transactions on Visualizations and Computer Graphics.

Paper
Sandra Bae, Takanori Fujiwara, Anders Ynnerman, Ellen Yi-Luen Do, Michael Rivera, & Danielle Albers Szafir. "A Computational Design Process for Sensing Network Physicalizations." To appear in IEEE Transactions on Visualizations and Computer Graphics. 30(1): 913 - 923. Part of the Proceedings of IEEE VIS 2023.[Best Paper Honorable Mention]

Paper | Code | Project Page
Hyeon Jeon*, Ghulam Jilani Quadri*, Hyunwook Lee, Paul Rosen, Danielle Albers Szafir, & Jinwook Seo. "CLAMS: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering." IEEE Transactions on Visualizations and Computer Graphics. 30(1): 770–780, 2024. Part of the Proceedings of IEEE VIS 2023.[Best Paper Honorable Mention]

Paper | Demo
Eli Kravitz, Hunter Ray, Nick Conlon, Nisar Ahmed, Ian Thomas, & Danielle Albers Szafir. "Probabilistic Learning of Operator Interest in Surveillance Environments for Online Track Characterization." AIAA SciTech Forum. Orlando, FL.


Hunter Ray, Nick Conlon, Eli Kravitz, Nisar Ahmed, Ian Thomas, Danielle Albers Szafir, Trevor Wilson, Samuel Elting, & Lynn Montgomery. "Intelligent Decision Support for Target Tracking Analysis and Characterization." AIAA SciTech Forum. Orlando, FL


Colin Ware, Danielle Albers Szafir, & Maureen Stone. "Rainbow Colormaps are Not All Bad." IEEE Computer Graphics & Applications, 43(3): 88-93, 2023.

Paper
Sandra Bae, Rishi Vanukuru, Ruhan Yang, Peter Gyory, Ellen Yi-Luen Do, & Danielle Albers Szafir. "Cultivating Visualization Literacy for Children through Curiosity and Play." IEEE Transactions on Visualization & Computer Graphics, 2023. Part of the Proceedings of IEEE VIS 2022.

Paper | Talk | Instructable

Danielle Albers Szafir, Rita Borgo, Min Chen, Darren Edwards, Brian Fisher & Lace Padilla, editors. "Visualization Psychology." Springer Nature, 2023.
Keke Wu, Michelle Tran, Emma Petersen, Varsha Kourshik, & Danielle Albers Szafir. "Data, Data, Everywhere: Uncovering Everyday Data Experience for People with Intellectual and Developmental Disabilities." In the Proceedings of the 2023 Conference on Human Factors in Computing Systems (CHI 2023), 2023.

Paper
Chin Tseng, Ghulam Jilani Quadri, Zeyu Wang, & Danielle Albers Szafir. "Measuring Categorical Perception in Color-Coded Scatterplots." Proceedings of the 2023 Conference on Human Factors in Computing Systems (CHI 2023), 2023.

Paper
Keke Wu & Danielle Albers Szafir. "Empowering People with Intellectual and Developmental Disabilities through Cognitively Accessible Visualizations." Proceedings of the Third Workshop on Visualization for Social Good (Vis4Good) at IEEE VIS, 2023.

Paper
Ian Thomas & Danielle Albers Szafir. "Evaluating User Trust in Active Learning Systems Through Query Policy and Uncertainty Visualization." Proceedings of the Workshop on Trust and Reliance in Human-AI Teams (TRAIT) at ACM CHI, 2023.
Qian Zhang, Akshay Paruchuri, YoungWoon Cha, Jiabin Huang, Jade Kandel, Adrian Ilie, Andrei State, Danielle Albers Szafir, Daniel Szafir, & Henry Fuchs. "Reconstruction of Human Body Pose and Appearance Using Body- Worn IMUs and a Nearby Camera View for Collaborative Egocentric Telepresence." Proceedings of ReDigiTS: 3D Reconstruction, Digital Twinning, and Simulation for Virtual Experiences at IEEE VR, 2023. Shanghai, China.
Clementine Zimnicki, Chin Tseng, Danielle Albers Szafir, & Karen Schloss. "Effects of data distribution and granularity on color semantics for colormap data visualizations." In the Proceedings of IEEE VIS Short Papers, 2023.


Sandra Bae, Clement Zhang, Mary Etta West, Ellen Yi-Luen Do, Samuel Huron & Danielle Albers Szafir. "Making Data Tangible: A Cross-disciplinary Design Space for Data Physicalization." In the Proceedings of the 2022 Conference on Human Factors in Computing Systems (CHI 2022), 2022.

Paper | Gallery
Matt-Heun Hong, Lauren Mark, Jes Feuston, Janet Rupport, Jed Brubaker, & Danielle Albers Szafir. "Scholastic: Forging Human-AI Collaboration for Inductive and Interpretive Text Analysis." In the Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (UIST), 2022.

Paper
Sandra Bae, Danielle Albers Szafir, & Ellen Yi-Luen Do. "Exploring the Benefits and Challenges of Data Physicalization." In the Proceedings of the Fifth European Tangible Interaction Studio (ETIS), 2022.

Paper
Amelia Warden, Jessica Witt, & Danielle Albers Szafir. "Visualizing Temperature Trends: Higher Sensitivity to Trend Direction with Single-Hue Palettes." Journal of Experimental Psychology: Applied, 28(4): 717–745, 2022.

Paper

Kyle Wm. Hall, Anthony Kouroupis, Anastasia Bezerianos, & Danielle Albers Szafir, & Christopher Collins. ""Professional Differences: A Comparative Study of Visualization Task Performance and Spatial Ability Across Disciplines." IEEE Transactions on Visualization & Computer Graphics, 2022. Part of the Proceedings of IEEE VIS 2021.

Paper

Matt-Heun Hong, Jessica Witt, & Danielle Albers Szafir. "The Weighted Average Illusion: Biases in Perceived Mean Position in Scatterplots." IEEE Transactions on Visualization & Computer Graphics, 2022. Part of the Proceedings of IEEE VIS 2021.

Paper

Michael Walker, Zhaozhong Chen, Matt Whitlock, David Blair, Danielle Albers Szafir, Christoffer Heckman, & Daniel Szafir. “Mixed Reality Interface for Human-Robot Field Teams in Large-Scale Outdoor Environments.” IEEE International Conference on Intelligent Robots & Systems (IROS 2021).


Paper
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.
[Best Paper Award]

Paper | Project Page
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.

Paper
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.
[Best Paper Honorable Mention]

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.

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

Paper
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
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
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 Paper | Project Page
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, 2019. In Proceedings of IEEE VIS 2018.


Paper | Project Page

Danielle Albers Szafir. “The Good, The Bad, & 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 (to appear). In Proceedings of the 2018 IEEE/ACM European Conference on Visualization (EuroVis).


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
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. (Panelists: Ronald Rensink, Steven Franconeri, Karen Schloss, Todd Horowitz, and Ruth Rosenholtz)

Paper | Video Preview
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.

Paper

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




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, 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 & Michael Gleicher (UW). "Visualization-Aware Color Design." EuroVis, 2016.

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

Paper


Danielle Albers Szafir. "Utilizing Color for Perceptually-Driven Data Visualization." Ph.D. Dissertation. University of Wisconsin-Madison, 2015.
VGP Best Dissertation Award, Honorable Mention

Paper


Alper Sarikaya, Danielle Albers, Julie Mitchell, and Michael Gleicher. “Visualizing Validation of Protein Surface Classifiers.” Computer Graphics Forum, 33(3), 2014. In Proceedings of Eurographics Conference on Visualization (EuroVis).

Paper | BibTex | Project Page
Danielle Albers Szafir, Maureen Stone, and Michael Gleicher. “Adapting Color Difference for Design.” 22nd Color and Imaging Conference, 2014.
Best Paper Award

Paper | BibTex | Talk Slides
Maureen Stone, Danielle Albers Szafir, and Vidya Setlur. “An Engineering Model for Color Discriminability as a Function of Size.” 22nd Color and Imaging Conference, 2014.

Paper | BibTex
Danielle Albers, Michael Correll, and Michael Gleicher. “Task-Driven Evaluation of Aggregation in Time Series Visualization.” CHI ’14: Proceedings of the 2014 Annual Conference on Human Factors in Computing Systems, 2014.

Paper | BibTex | Talk Slides
Danielle Albers, Michael Correll, Michael Gleicher, and Steve Franconeri. “Ensemble Processing of Color and Shape: Beyond Mean Judgments.” Journal of Vision, 2014.

Abstract | BibTex | Poster
Michael Correll, Eric Alexander, Danielle Albers Szafir, Alper Sarikaya, and Michael Gleicher. “Navigating Reductionism and Holism in Evaluation.” BELIV '14: Beyond Time and Errors-Novel Evaluation Methods for Visualization, 2014.

Paper | BibTex
Danielle Albers Szafir. “Thinking with Data.” Digital Humanities Research Network Workshop, 2014.

Talk Slides


Danielle Albers, Alper Sarikaya, and Michael Gleicher. “Lightness Constancy in Surface Visualization.” Poster Abstracts of IEEE VIS, 2013.
Best Poster Award

Extended Abstract | BibTex | Poster
Danielle Albers, Colin Dewey, and Michael Gleicher. “Sequence Surveyor: Leveraging Overview for Large-Scale Genomic Alignment Visualization.” 2011 VizBi: Visualizing Biological Data Poster Session, 2011.

Abstract | BibTex | Poster
Danielle Albers. “Perceptually Informed Scalable Sequence Comparison.” IEEE VIS Doctoral Colloquium, 2013.




Michael Correll, Danielle Albers, Steve Franconeri, and Michael Gleicher. “Comparing Averages in Time Series Data.” CHI ’12: Proceedings of the 2012 Annual Conference on Human Factors in Computing Systems, 2012.

Paper | BibTex


Danielle Albers and Michael Gleicher. “Seeing Double: Crowdsourced Models of Color Discrimination.” Midgraph: Midwest Graphics Workshop, 2012.

Talk Slides


Michael Gleicher, Danielle Albers, Rick Walker, Ilir Jusufi, Charles Hansen, and Jonathan Roberts. “Visual Comparison for Information Visualization.” Information Visualization, 10(4), 2011.

Paper | BibTex | Project Page


Danielle Albers, Colin Dewey, and Michael Gleicher. “Sequence Surveyor: Leveraging Overview for Scalable Genomic Alignment Visualization.” IEEE Transactions of Visualization and Computer Graphics, 17(5), 2011. In Proceedings of IEEE Information Visualization.

Paper | BibTex | Project Site | Talk Slides | Video


Danielle Albers and Michael Gleicher. “Poster: Perceptual Principles for Scalable Sequence Alignment Visualization.” IEEE Information Visualization Poster Proceedings, 2010.

Extended Abstract | BibTex | Poster
Danielle Albers and Michael Gleicher. “Perceptual Principles for Scalable Sequence Alignment Visualization.” Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization, 2010.

Extended Abstract | BibTex | Poster