Lace M. K. Padilla

53 papers A* 7A 1B 5Journal 33Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Analysis of Text Functions in Information Visualization. IEEE Trans. Vis. Comput. Graph. Chase Stokes, Anjana Arunkumar, Marti A. Hearst, Lace M. K. Padilla
2026	A*	`conf`	Examining Interpretation Strategies for Multiple Forecast Visualizations with Two and Four Forecasts. CHI Lace M. K. Padilla, Racquel Fygenson, Connor Wilson, Kristi Potter, Spencer C. Castro
2026	A*	`conf`	Exploring Collaboration Breakdowns Between Provider Teams and Patients in Post-Surgery Care. CHI Bingsheng Yao, Menglin Zhao, Zhan Zhang, Pengqi Wang, Emma G. Chester, Changchang Yin, Tianshi Li, Varun Mishra, Lace M. K. Padilla, Odysseas Chatzipanagiotou, Timothy Pawlik, Ping Zhang, Weidan Cao, Dakuo Wang
2026	A*	`conf`	MIND: Empowering Mental Health Clinicians with Multimodal Data Insights through a Narrative Dashboard. CHI Ruishi Zou, Shiyu Xu, Margaret E. Morris, Jihan Ryu, Timothy D. Becker, Nicholas Allen, Anne Marie Albano, Randy Auerbach, Dan Adler, Varun Mishra, Lace M. K. Padilla, Dakuo Wang, Ryan Sultan, Xuhai Xu
2026	J	`jnl`	Shifting Expectations for Encoding Rules Mitigates Misinterpretation of Connected Scatterplots. IEEE Trans. Vis. Comput. Graph. Wen Xu, Lace M. K. Padilla
2025	J	`jnl`	An Analysis of Text Functions in Information Visualization. CoRR Chase Stokes, Anjana Arunkumar, Marti A. Hearst, Lace M. K. Padilla
2025	J	`jnl`	Cognitive Affordances in Visualization: Related Constructs, Design Factors, and Framework. CoRR Racquel Fygenson, Lace M. K. Padilla, Enrico Bertini
2025	J	`jnl`	Cognitive Affordances in Visualization: Related Constructs, Design Factors, and Framework. IEEE Trans. Vis. Comput. Graph. Racquel Fygenson, Lace M. K. Padilla, Enrico Bertini
2025	J	`jnl`	Examining Limits of Small Multiples: Frame Quantity Impacts Judgments With Line Graphs. IEEE Trans. Vis. Comput. Graph. Helia Hosseinpour, Laura E. Matzen, Kristin M. Divis, Spencer C. Castro, Lace M. K. Padilla
2025	J	`jnl`	Exploring Collaboration Breakdowns Between Provider Teams and Patients in Post-Surgery Care. CoRR Bingsheng Yao, Menglin Zhao, Zhan Zhang, Pengqi Wang, Emma G. Chester, Changchang Yin, Tianshi Li, Varun Mishra, Lace M. K. Padilla, Odysseas Chatzipanagiotou, Timothy Pawlik, Ping Zhang, Weidan Cao, Dakuo Wang
2025	B	`conf`	Eye Movement Patterns Influence Investment Decision Making. CogSci Helia Hosseinpour, Zenaida Aguirre-Munoz, Michael J. Spivey, Spencer C. Castro, Rachel Ryskin, Lace M. K. Padilla
2025	J	`jnl`	Impact of Vertical Scaling on Normal Probability Density Function Plots. IEEE Trans. Vis. Comput. Graph. Racquel Fygenson, Lace M. K. Padilla
2025	A*	`conf`	Lost in Translation: How Does Bilingualism Shape Reader Preferences for Annotated Charts? CHI Anjana Arunkumar, Lace M. K. Padilla, Chris Bryan
2025	J	`jnl`	Lost in Translation: How Does Bilingualism Shape Reader Preferences for Annotated Charts? CoRR Anjana Arunkumar, Lace M. K. Padilla, Chris Bryan
2025	J	`jnl`	Mind Drifts, Data Shifts: Utilizing Mind Wandering to Track the Evolution of User Experience with Data Visualizations. IEEE Trans. Vis. Comput. Graph. Anjana Arunkumar, Lace M. K. Padilla, Chris Bryan
2025	J	`jnl`	Modeling and Measuring the Chart Communication Recall Process. Comput. Graph. Forum Anjana Arunkumar, Lace M. K. Padilla, Chris Bryan
2024	A	`conf`	"Must Be a Tuesday": Affect, Attribution, and Geographic Variability in Equity-Oriented Visualizations of Population Health Disparities. IEEE VIS Eli Holder, Lace M. K. Padilla
2024	J	`jnl`	Average Estimates in Line Graphs Are Biased Toward Areas of Higher Variability. IEEE Trans. Vis. Comput. Graph. Dominik Moritz, Lace M. K. Padilla, Francis Nguyen, Steven L. Franconeri
2024	J	`jnl`	Designing and Evaluating Sampling Strategies for Multiple-Forecast Visualization (MFV). CoRR Ruishi Zou, Siyi Wu, Bingsheng Yao, Dakuo Wang, Lace M. K. Padilla
2024	—	`conf`	Effects of Forecast Order, Cost, and Risk on Decision Making with Multiple Forecast Visualizations. UncertaintyVis@VIS Laura E. Matzen, Mallory C. Stites, Kristin M. Divis, Alexander E. Bendeck, John T. Stasko, Lace M. K. Padilla
2024	J	`jnl`	Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification. IEEE Trans. Vis. Comput. Graph. Anjana Arunkumar, Lace M. K. Padilla, Gi-Yeul Bae, Chris Bryan
2024	J	`jnl`	Mind Drifts, Data Shifts: Utilizing Mind Wandering to Track the Evolution of User Experience with Data Visualizations. CoRR Anjana Arunkumar, Lace M. K. Padilla, Chris Bryan
2024	A*	`conf`	Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. CHI Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu, Bingsheng Yao, Melanie Tory, Lace M. K. Padilla, Jeffrey M. Caterino, Ping Zhang, Dakuo Wang
2024	—	`conf`	Toward a More Comprehensive Understanding of Visualization Literacy. CHI Extended Abstracts Lily W. Ge, Maryam Hedayati, Yuan Cui, Yiren Ding, Karen Bonilla, Alark Joshi, Alvitta Ottley, Benjamin Bach, Bum Chul Kwon, David N. Rapp, Evan M. Peck, Lace M. K. Padilla, Michael Correll, Michelle A. Borkin, Lane Harrison, Matthew Kay
2024	B	`conf`	Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization. PacificVis Emily Wall, Laura E. Matzen, Mennatallah El-Assady, Peta Masters, Helia Hosseinpour, Alex Endert, Rita Borgo, Polo Chau, Adam Perer, Harald T. Schupp, Hendrik Strobelt, Lace M. K. Padilla
2023	J	`jnl`	Average Estimates in Line Graphs Are Biased Toward Areas of Higher Variability. CoRR Dominik Moritz, Lace M. K. Padilla, Francis Nguyen, Steven L. Franconeri
2023	J	`jnl`	Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification. CoRR Anjana Arunkumar, Lace M. K. Padilla, Gi-Yeul Bae, Chris Bryan
2023	J	`jnl`	Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations. IEEE Trans. Vis. Comput. Graph. Lace M. K. Padilla, Racquel Fygenson, Spencer C. Castro, Enrico Bertini
2023	J	`jnl`	Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. CoRR Shao Zhang, Jianing Yu, Xuhai Xu, Changchang Yin, Yuxuan Lu, Bingsheng Yao, Melanie Tory, Lace M. K. Padilla, Jeffrey M. Caterino, Ping Zhang, Dakuo Wang
2023	B	`conf`	What is graph comprehension and how do you measure it? CogSci Hannah Lloyd, Holly Huey, Erik Brockbank, Lace M. K. Padilla, Judith E. Fan
2022	J	`jnl`	Conceptual Metaphor and Graphical Convention Influence the Interpretation of Line Graphs. IEEE Trans. Vis. Comput. Graph. Greg Woodin, Bodo Winter, Lace M. K. Padilla
2022	J	`jnl`	Examining Effort in 1D Uncertainty Communication Using Individual Differences in Working Memory and NASA-TLX. IEEE Trans. Vis. Comput. Graph. Spencer C. Castro, P. Samuel Quinan, Helia Hosseinpour, Lace M. K. Padilla
2022	J	`jnl`	How to understand your climate uncertainty. Interactions Lace M. K. Padilla
2022	J	`jnl`	Know your experimental uncertainty. Interactions Lace M. K. Padilla
2022	—	`conf`	Towards a Material Ethics of Computing: Addressing the Uneven Environmental Stakes of Digital Infrastructures. CHI Extended Abstracts Jen Liu, Cindy Kaiying Lin, Anne Pasek, Robert Soden, Lace M. K. Padilla, Daniela K. Rosner, Steven J. Jackson
2022	—	`conf`	Transparent Practices for Quantitative Empirical Research. CHI Extended Abstracts Chat Wacharamanotham, Fumeng Yang, Xiaoying Pu, Abhraneel Sarma, Lace M. K. Padilla
2022	J	`jnl`	Understanding uncertainty on a map is harder than you think. Interactions Lace M. K. Padilla
2022	J	`jnl`	Using Processing Fluency as a Metric of Trust in Scatterplot Visualizations. CoRR Hamza Elhamdadi, Lace M. K. Padilla, Cindy Xiong
2021	A*	`conf`	CrowdXR - Pitfalls and Potentials of Experiments with Remote Participants. ISMAR Jiayan Zhao, Mark B. Simpson, Pejman Sajjadi, Jan Oliver Wallgrün, Ping Li, Mahda M. Bagher, Danielle Oprean, Lace M. K. Padilla, Alexander Klippel
2021	J	`jnl`	Editorial: Uncertainty Visualization and Decision Making. Frontiers Comput. Sci. Roberto Therón, Lace M. K. Padilla
2021	A*	`conf`	Mapping the Landscape of COVID-19 Crisis Visualizations. CHI Yixuan Zhang, Yifan Sun, Lace M. K. Padilla, Sumit Barua, Enrico Bertini, Andrea G. Parker
2021	J	`jnl`	Mapping the Landscape of COVID-19 Crisis Visualizations. CoRR Yixuan Zhang, Yifan Sun, Lace M. K. Padilla, Sumit Barua, Enrico Bertini, Andrea G. Parker
2020	—	`conf`	Data Driven Multi-Hazard Risk Visualization. EuroVis (Posters) Ritesh Sharma, Ayme Tomson, Emilio Lobato, Marcelo Kallmann, Lace M. K. Padilla
2020	J	`jnl`	Toward Objective Evaluation of Working Memory in Visualizations: A Case Study Using Pupillometry and a Dual-Task Paradigm. IEEE Trans. Vis. Comput. Graph. Lace M. K. Padilla, Spencer C. Castro, P. Samuel Quinan, Ian T. Ruginski, Sarah H. Creem-Regehr
2019	J	`jnl`	Examining Implicit Discretization in Spectral Schemes. Comput. Graph. Forum P. Samuel Quinan, Lace M. K. Padilla, Sarah H. Creem-Regehr, Miriah D. Meyer
2019	—	`conf`	Examining the Components of Trust in Map-Based Visualizations. TrustVis@EuroVis Cindy Xiong, Lace M. K. Padilla, Kent Grayson, Steven Franconeri
2019	J	`jnl`	Visualizing Uncertain Tropical Cyclone Predictions using Representative Samples from Ensembles of Forecast Tracks. IEEE Trans. Vis. Comput. Graph. Le Liu, Lace M. K. Padilla, Sarah H. Creem-Regehr, Donald H. House
2018	—	`conf`	A Case for Cognitive Models in Visualization Research : Position paper. BELIV Lace M. K. Padilla
2017	J	`jnl`	Evaluating the Impact of Binning 2D Scalar Fields. IEEE Trans. Vis. Comput. Graph. Lace M. K. Padilla, P. Samuel Quinan, Miriah D. Meyer, Sarah H. Creem-Regehr
2017	J	`jnl`	Uncertainty Visualization by Representative Sampling from Prediction Ensembles. IEEE Trans. Vis. Comput. Graph. Le Liu, Alexander P. Boone, Ian T. Ruginski, Lace M. K. Padilla, Mary Hegarty, Sarah H. Creem-Regehr, William B. Thompson, Cem Yuksel, Donald H. House
2016	J	`jnl`	Non-expert interpretations of hurricane forecast uncertainty visualizations. Spatial Cogn. Comput. Ian T. Ruginski, Alexander P. Boone, Lace M. K. Padilla, Le Liu, Nahal Heydari, Heidi S. Kramer, Mary Hegarty, William B. Thompson, Donald H. House, Sarah H. Creem-Regehr
2015	B	`conf`	Sex Differences in Virtual Navigation Influenced by Scale, Visual Cues, Spatial Abilities and Lifetime Mobility. CogSci Lace M. K. Padilla, Sarah H. Creem-Regehr, Jeanine K. Stefanucci, Elizabeth Cashdan
2015	B	`conf`	Understanding the Cone of Uncertainty: Non-expert interpretations of hurricane forecast uncertainty visualizations. CogSci Ian T. Ruginski, Alexander P. Boone, Lace M. K. Padilla, Mary Hegarty, William B. Thompson, Donald H. House, Sarah H. Creem-Regehr