Lace M. K. Padilla

According to our database, Lace M. K. Padilla authored at least 26 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., January, 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., January, 2024

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

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, Bingsheng Yao, Melanie Tory, Lace M. K. Padilla, Jeffrey M. Caterino, Ping Zhang, Dakuo Wang

CoRR, 2023

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

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

Know your experimental uncertainty.

Lace M. K. Padilla

Interactions, 2022

Understanding uncertainty on a map is harder than you think.

Lace M. K. Padilla

Interactions, 2022

How to understand your climate uncertainty.

Lace M. K. Padilla

Interactions, 2022

Using Processing Fluency as a Metric of Trust in Scatterplot Visualizations.

Hamza Elhamdadi, Lace M. K. Padilla, Cindy Xiong

CoRR, 2022

Transparent Practices for Quantitative Empirical Research.

Chat Wacharamanotham, Fumeng Yang, Xiaoying Pu, Abhraneel Sarma, Lace M. K. Padilla

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

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

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

Editorial: Uncertainty Visualization and Decision Making.

Roberto Therón, Lace M. K. Padilla

Frontiers Comput. Sci., 2021

CrowdXR - Pitfalls and Potentials of Experiments with Remote Participants.

Jiayan Zhao, Mark B. Simpson, Pejman Sajjadi, Jan Oliver Wallgrün, Ping Li, Mahda M. Bagher, Danielle Oprean, Lace M. K. Padilla, Alexander Klippel

Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, 2021

Mapping the Landscape of COVID-19 Crisis Visualizations.

Yixuan Zhang, Yifan Sun, Lace M. K. Padilla, Sumit Barua, Enrico Bertini, Andrea G. Parker

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

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

Data Driven Multi-Hazard Risk Visualization.

Ritesh Sharma, Ayme Tomson, Emilio Lobato, Marcelo Kallmann, Lace M. K. Padilla

Proceedings of the 22nd Eurographics Conference on Visualization, 2020

2019

Visualizing Uncertain Tropical Cyclone Predictions using Representative Samples from Ensembles of Forecast Tracks.

Le Liu, Lace M. K. Padilla, Sarah H. Creem-Regehr, Donald H. House

IEEE Trans. Vis. Comput. Graph., 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

Examining the Components of Trust in Map-Based Visualizations.

Cindy Xiong, Lace M. K. Padilla, Kent Grayson, Steven Franconeri

Proceedings of the 1st EuroVis Workshop on Trustworthy Visualization, 2019

2018

A Case for Cognitive Models in Visualization Research : Position paper.

Lace M. K. Padilla

Proceedings of the 2018 IEEE Evaluation and Beyond, 2018

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

Uncertainty Visualization by Representative Sampling from Prediction Ensembles.

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

IEEE Trans. Vis. Comput. Graph., 2017

2016

Non-expert interpretations of hurricane forecast uncertainty visualizations.

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

Spatial Cogn. Comput., 2016

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

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

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

Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015