Lace M. K. Padilla

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 29

Top Topics

Decision Making

Individual Differences

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

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
Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization. PacificVis (2024)
Dominik Moritz, Lace M. K. Padilla, Francis Nguyen, Steven L. Franconeri
Average Estimates in Line Graphs Are Biased Toward Areas of Higher Variability. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
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
Toward a More Comprehensive Understanding of Visualization Literacy. CHI Extended Abstracts (2024)
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
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis. CHI (2024)
Anjana Arunkumar, Lace M. K. Padilla, Gi-Yeul Bae, Chris Bryan
Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Dominik Moritz, Lace M. K. Padilla, Francis Nguyen, Steven L. Franconeri
Average Estimates in Line Graphs Are Biased Toward Areas of Higher Variability. CoRR (2023)
Hannah Lloyd, Holly Huey, Erik Brockbank, Lace M. K. Padilla, Judith E. Fan
What is graph comprehension and how do you measure it? CogSci (2023)
Lace M. K. Padilla, Racquel Fygenson, Spencer C. Castro, Enrico Bertini
Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Lace M. K. Padilla
Know your experimental uncertainty. Interactions 29 (6) (2022)
Hamza Elhamdadi, Lace M. K. Padilla, Cindy Xiong
Using Processing Fluency as a Metric of Trust in Scatterplot Visualizations. CoRR (2022)
Lace M. K. Padilla
How to understand your climate uncertainty. Interactions 29 (1) (2022)
Chat Wacharamanotham, Fumeng Yang, Xiaoying Pu, Abhraneel Sarma, Lace M. K. Padilla
Transparent Practices for Quantitative Empirical Research. CHI Extended Abstracts (2022)
Jen Liu, Cindy Kaiying Lin, Anne Pasek, Robert Soden, Lace M. K. Padilla, Daniela K. Rosner, Steven J. Jackson
Towards a Material Ethics of Computing: Addressing the Uneven Environmental Stakes of Digital Infrastructures. CHI Extended Abstracts (2022)
Lace M. K. Padilla
Understanding uncertainty on a map is harder than you think. Interactions 29 (3) (2022)
Greg Woodin, Bodo Winter, Lace M. K. Padilla
Conceptual Metaphor and Graphical Convention Influence the Interpretation of Line Graphs. IEEE Trans. Vis. Comput. Graph. 28 (2) (2022)
Spencer C. Castro, P. Samuel Quinan, Helia Hosseinpour, Lace M. K. Padilla
Examining Effort in 1D Uncertainty Communication Using Individual Differences in Working Memory and NASA-TLX. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Roberto Therón, Lace M. K. Padilla
Editorial: Uncertainty Visualization and Decision Making. Frontiers Comput. Sci. 3 (2021)
Yixuan Zhang, Yifan Sun, Lace M. K. Padilla, Sumit Barua, Enrico Bertini, Andrea G. Parker
Mapping the Landscape of COVID-19 Crisis Visualizations. CHI (2021)
Yixuan Zhang, Yifan Sun, Lace M. K. Padilla, Sumit Barua, Enrico Bertini, Andrea G. Parker
Mapping the Landscape of COVID-19 Crisis Visualizations. CoRR (2021)
Jiayan Zhao, Mark B. Simpson, Pejman Sajjadi, Jan Oliver Wallgrün, Ping Li, Mahda M. Bagher, Danielle Oprean, Lace M. K. Padilla, Alexander Klippel
CrowdXR - Pitfalls and Potentials of Experiments with Remote Participants. ISMAR (2021)
Lace M. K. Padilla, Spencer C. Castro, P. Samuel Quinan, Ian T. Ruginski, Sarah H. Creem-Regehr
Toward Objective Evaluation of Working Memory in Visualizations: A Case Study Using Pupillometry and a Dual-Task Paradigm. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Ritesh Sharma, Ayme Tomson, Emilio Lobato, Marcelo Kallmann, Lace M. K. Padilla
Data Driven Multi-Hazard Risk Visualization. EuroVis (Posters) (2020)
P. Samuel Quinan, Lace M. K. Padilla, Sarah H. Creem-Regehr, Miriah D. Meyer
Examining Implicit Discretization in Spectral Schemes. Comput. Graph. Forum 38 (3) (2019)
Cindy Xiong, Lace M. K. Padilla, Kent Grayson, Steven Franconeri
Examining the Components of Trust in Map-Based Visualizations. TrustVis@EuroVis (2019)
Le Liu, Lace M. K. Padilla, Sarah H. Creem-Regehr, Donald H. House
Visualizing Uncertain Tropical Cyclone Predictions using Representative Samples from Ensembles of Forecast Tracks. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Lace M. K. Padilla
A Case for Cognitive Models in Visualization Research : Position paper. BELIV (2018)
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
Uncertainty Visualization by Representative Sampling from Prediction Ensembles. IEEE Trans. Vis. Comput. Graph. 23 (9) (2017)
Lace M. K. Padilla, P. Samuel Quinan, Miriah D. Meyer, Sarah H. Creem-Regehr
Evaluating the Impact of Binning 2D Scalar Fields. IEEE Trans. Vis. Comput. Graph. 23 (1) (2017)
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
Non-expert interpretations of hurricane forecast uncertainty visualizations. Spatial Cogn. Comput. 16 (2) (2016)
Lace M. K. Padilla, Sarah H. Creem-Regehr, Jeanine Stefanucci, Elizabeth Cashdan
Sex Differences in Virtual Navigation Influenced by Scale, Visual Cues, Spatial Abilities and Lifetime Mobility. CogSci (2015)
Ian T. Ruginski, Alexander P. Boone, Lace M. K. Padilla, Mary Hegarty, William B. Thompson, Donald H. House, Sarah H. Creem-Regehr
Understanding the Cone of Uncertainty: Non-expert interpretations of hurricane forecast uncertainty visualizations. CogSci (2015)