Sex Differences in Virtual Navigation Influenced by Scale, Visual Cues, Spatial Abilities and Lifetime Mobility. - Lace M. K. Padilla; Sarah H. Creem-Regehr; Jeanine K. Stefanucci; Elizabeth Cashdan (CogSci, 2015)

Understanding the Cone of Uncertainty: Non-expert interpretations of hurricane forecast uncertainty visualizations. - Ian T. Ruginski; Alexander P. Boone; Lace M. K. Padilla; Mary Hegarty; William B. Thompson; Donald H. House; Sarah H. Creem-Regehr (CogSci, 2015)

Non-expert interpretations of hurricane forecast uncertainty visualizations. - Ian T. Ruginski; Alexander P. Boone; Lace M. K. Padilla; Le Liu 007; Nahal Heydari; Heidi S. Kramer; Mary Hegarty; William B. Thompson; Donald H. House; Sarah H. Creem-Regehr (Spatial Cogn. Comput., 2016)

Uncertainty Visualization by Representative Sampling from Prediction Ensembles. - Le Liu 007; Alexander P. Boone; Ian T. Ruginski; Lace M. K. Padilla; Mary Hegarty; Sarah H. Creem-Regehr; William B. Thompson; Cem Yuksel; Donald H. House (IEEE Trans. Vis. Comput. Graph., 2017)

Evaluating the Impact of Binning 2D Scalar Fields. - Lace M. K. Padilla; P. Samuel Quinan; Miriah D. Meyer; Sarah H. Creem-Regehr (IEEE Trans. Vis. Comput. Graph., 2017)

A Case for Cognitive Models in Visualization Research : Position paper. - Lace M. K. Padilla (BELIV, 2018)

Examining the Components of Trust in Map-Based Visualizations. - Cindy Xiong; Lace M. K. Padilla; Kent Grayson; Steven Franconeri (TrustVis@EuroVis, 2019)

Examining Implicit Discretization in Spectral Schemes. - P. Samuel Quinan; Lace M. K. Padilla; Sarah H. Creem-Regehr; Miriah D. Meyer (Comput. Graph. Forum, 2019)

Visualizing Uncertain Tropical Cyclone Predictions using Representative Samples from Ensembles of Forecast Tracks. - Le Liu 007; Lace M. K. Padilla; Sarah H. Creem-Regehr; Donald H. House (IEEE Trans. Vis. Comput. Graph., 2019)

Data Driven Multi-Hazard Risk Visualization. - Ritesh Sharma; Ayme Tomson; Emilio Lobato; Marcelo Kallmann; Lace M. K. Padilla (EuroVis (Posters), 2020)

Toward Objective Evaluation of Working Memory in Visualizations: A Case Study Using Pupillometry and a Dual-Task Paradigm. - Lace M. K. Padilla; Spencer C. Castro; P. Samuel Quinan; Ian T. Ruginski; Sarah H. Creem-Regehr (IEEE Trans. Vis. Comput. Graph., 2020)

Mapping the Landscape of COVID-19 Crisis Visualizations. - Yixuan Zhang 001; Yifan Sun 002; Lace M. K. Padilla; Sumit Barua; Enrico Bertini; Andrea G. Parker (CHI, 2021)

CrowdXR - Pitfalls and Potentials of Experiments with Remote Participants. - Jiayan Zhao; Mark B. Simpson; Pejman Sajjadi; Jan Oliver Wallgrün; Ping Li 026; Mahda M. Bagher; Danielle Oprean; Lace M. K. Padilla; Alexander Klippel (ISMAR, 2021)

Editorial: Uncertainty Visualization and Decision Making. - Roberto Therón; Lace M. K. Padilla (Frontiers Comput. Sci., 2021)

Towards a Material Ethics of Computing: Addressing the Uneven Environmental Stakes of Digital Infrastructures. - Jen Liu; Cindy Kaiying Lin; Anne Pasek; Robert Soden; Lace M. K. Padilla; Daniela K. Rosner; Steven J. Jackson (CHI Extended Abstracts, 2022)

Transparent Practices for Quantitative Empirical Research. - Chat Wacharamanotham; Fumeng Yang; Xiaoying Pu; Abhraneel Sarma; Lace M. K. Padilla (CHI Extended Abstracts, 2022)

Using Processing Fluency as a Metric of Trust in Scatterplot Visualizations. - Hamza Elhamdadi; Lace M. K. Padilla; Cindy Xiong (CoRR, 2022)

How to understand your climate uncertainty. - Lace M. K. Padilla (Interactions, 2022)

Understanding uncertainty on a map is harder than you think. - Lace M. K. Padilla (Interactions, 2022)

Know your experimental uncertainty. - Lace M. K. Padilla (Interactions, 2022)

Examining Effort in 1D Uncertainty Communication Using Individual Differences in Working Memory and NASA-TLX. - Spencer C. Castro; P. Samuel Quinan; Helia Hosseinpour; Lace M. K. Padilla (IEEE Trans. Vis. Comput. Graph., 2022)

Conceptual Metaphor and Graphical Convention Influence the Interpretation of Line Graphs. - Greg Woodin; Bodo Winter; Lace M. K. Padilla (IEEE Trans. Vis. Comput. Graph., 2022)

What is graph comprehension and how do you measure it? - Hannah Lloyd; Holly Huey; Erik Brockbank; Lace M. K. Padilla; Judith E. Fan (CogSci, 2023)

Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations. - Lace M. K. Padilla; Racquel Fygenson; Spencer C. Castro; Enrico Bertini (IEEE Trans. Vis. Comput. Graph., 2023)

Toward a More Comprehensive Understanding of Visualization Literacy. - 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; et al. (CHI Extended Abstracts, 2024)

Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. - Shao Zhang; Jianing Yu; Xuhai Xu; Changchang Yin; Yuxuan Lu 003; Bingsheng Yao; Melanie Tory; Lace M. K. Padilla; Jeffrey M. Caterino; Ping Zhang 016; Dakuo Wang (CHI, 2024)

Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization. - Emily Wall 001; 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 (PacificVis, 2024)

"Must Be a Tuesday": Affect, Attribution, and Geographic Variability in Equity-Oriented Visualizations of Population Health Disparities. - Eli Holder; Lace M. K. Padilla (IEEE VIS, 2024)

Effects of Forecast Order, Cost, and Risk on Decision Making with Multiple Forecast Visualizations. - Laura E. Matzen; Mallory C. Stites; Kristin M. Divis; Alexander E. Bendeck; John T. Stasko; Lace M. K. Padilla (UncertaintyVis@VIS, 2024)

Designing and Evaluating Sampling Strategies for Multiple-Forecast Visualization (MFV). - Ruishi Zou; Siyi Wu; Bingsheng Yao; Dakuo Wang; Lace M. K. Padilla (CoRR, 2024)

Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification. - Anjana Arunkumar; Lace M. K. Padilla; Gi-Yeul Bae; Chris Bryan (IEEE Trans. Vis. Comput. Graph., 2024)

Average Estimates in Line Graphs Are Biased Toward Areas of Higher Variability. - Dominik Moritz; Lace M. K. Padilla; Francis Nguyen; Steven L. Franconeri (IEEE Trans. Vis. Comput. Graph., 2024)

Lost in Translation: How Does Bilingualism Shape Reader Preferences for Annotated Charts? - Anjana Arunkumar; Lace M. K. Padilla; Chris Bryan (CHI, 2025)

Modeling and Measuring the Chart Communication Recall Process. - Anjana Arunkumar; Lace M. K. Padilla; Chris Bryan (Comput. Graph. Forum, 2025)

Mind Drifts, Data Shifts: Utilizing Mind Wandering to Track the Evolution of User Experience with Data Visualizations. - Anjana Arunkumar; Lace M. K. Padilla; Chris Bryan (IEEE Trans. Vis. Comput. Graph., 2025)

Impact of Vertical Scaling on Normal Probability Density Function Plots. - Racquel Fygenson; Lace M. K. Padilla (IEEE Trans. Vis. Comput. Graph., 2025)

Examining Limits of Small Multiples: Frame Quantity Impacts Judgments With Line Graphs. - Helia Hosseinpour; Laura E. Matzen; Kristin M. Divis; Spencer C. Castro; Lace M. K. Padilla (IEEE Trans. Vis. Comput. Graph., 2025)

An Analysis of Text Functions in Information Visualization. - Chase Stokes; Anjana Arunkumar; Marti A. Hearst; Lace M. K. Padilla (CoRR, 2025)