Featured Publication

Decision Making with Visualizations: A Cognitive Framework Across Disciplines

Visualizations are studied by researchers in numerous ways, ranging from the cognitive processes underlying their use to how visualizations communicate complex information (such as in medical risk or spatial patterns). However, findings from different domains are rarely shared across domains though there may be domain general principles underlying visualizations and their use. The limited cross-domain communication may be due to a lack of a unifying cognitive framework. This review addresses this gap by proposing an integrative model that is grounded in models of visualization comprehension and a dual-process account of decision making. We review empirical studies of decision making with static two-dimensional visualizations...

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2019

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The Powerful Influence of Marks: Visual and Knowledge-Driven Processing in Hurricane Track Displays

Citation: Padilla, L., Creem-Regehr, S., & Thompson, W. (in press). The Powerful Influence of Marks: Visual and Knowledge-Driven Processing in Hurricane Track Displays. JEP: Applied.
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Toward objective evaluation of working memory in visualizations: A case study using pupillometry and a dual-task paradigm.

Citation: Padilla, L., Castro, S., Quinan, P., Ruginski, I. & Creem-Regehr, S. (2019, October). Examining Implicit Discretization in Spectral Schemes. IEEE transactions on visualization and computer graphics. VIS 2019.
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Examining Explicit Discretization in Spectral Schemes

Citation: Quinan, P., Padilla, L., Creem-Regehr, S., & Meyer, M. (2019, May). Examining Implicit Discretization in Spectral Schemes. Computer Graphics Forum.

2018

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A Case for Cognitive Models in Visualization Research

Citation: Padilla, L. (2018, October). A Case for Cognitive Models in Visualization Research. In Proceedings of the Seventh Workshop on Beyond Time and Errors on Novel Evaluation Methods for Visualization (pp. 143-151). ACM.
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Decision Making with Visualizations: A Cognitive Framework Across Disciplines

Citation: Padilla, L., Creem-Regehr, S. H., Hegarty, M., & Stefanucci, J. K. (2018, July). Decision making with visualizations: a cognitive framework across disciplines. Cognitive Research: Principles and Implications, 3(1), 29. doi:10.1186/s41235-018-0120-9
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Visualizing uncertain tropical cyclone predictions using representative samples from ensembles of forecast tracks

Citation: Liu, L., Padilla, L., Creem-Regehr, S. H., & House, D. H. (2018). Visualizing uncertain tropical cyclone predictions using representative samples from ensembles of forecast tracks. IEEE transactions on visualization and computer graphics, 25(1), 882-891.

*Downloads: Supplementary Materials, Visualization technique code, and User study analysis R code + data

2017

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Effects of Ensemble and Summary Displays on Interpretations of Geospatial Uncertainty Data

Citation: Padilla, L., Ruginski, I., Creem-Regehr, S. H. (2017). Effects of Ensemble and Summary Displays on Interpretations of Geospatial Uncertainty Data. Cognitive Research: Principles and Implications,2(1), 40. https://doi.org/10.1186/s41235-017-0076-1.

*Downloads: Data
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Sex differences in virtual navigation influenced by scale and navigation experience

Citation: Padilla, L., Creem-Regehr, S. H., Stefanucci, J. K., & Cashdan, E. A. (2017). Sex differences in virtual navigation influenced by scale and navigation experience. Psychonomic bulletin & review, 24(2), 582-590.

*Downloads: Data, large-scale experiment or small-scale experiment, email for additional instructions if you want to use these tasks. Supplementary Materials.
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Uncertainty Visualization by Representative Sampling from Prediction Ensembles

Citation: Liu, L., Boone, A. P., Ruginski, I. T., Padilla, L., Hegarty, M., Creem-Regehr, S. H., ... & House, D. H. (2017). Uncertainty Visualization by Representative Sampling from Prediction Ensembles. IEEE transactions on visualization and computer graphics, 23(9), 2165-2178.

2016

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Non-expert interpretations of hurricane forecast uncertainty visualizations

Citation: Ruginski, I. T., Boone, A. P., Padilla, L., Liu, L., Heydari, N., Kramer, H. S., ... & Creem-Regehr, S. H. (2016). Non-expert interpretations of hurricane forecast uncertainty visualizations. Spatial Cognition & Computation, 16(2), 154-172.

*Downloads: Data
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Evaluating the impact of binning 2D scalar fields

Citation: Padilla, L., Quinan, P. S., Meyer, M., & Creem-Regehr, S. H. (2016). Evaluating the impact of binning 2D scalar fields.IEEE transactions on visualization and computer graphics, 23(1), 431-440.

*Downloads: Supplementary Materials, Data (made available Nov 12th 2017, see documentation)
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Mobility and Navigation among the Yucatec Maya

Citation: Cashdan, E., Kramer, K. L., Davis, H. E., Padilla, L., & Greaves, R. D. (2016). Mobility and Navigation among the Yucatec Maya. Human Nature, 27(1), 35-50.
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Sex differences in mobility and spatial cognition

Citation: Vashro, L., Padilla, L., & Cashdan, E. (2016). Sex differences in mobility and spatial cognition. Human Nature, 27(1), 16-34.

2015

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The influence of different graphical displays on nonexpert decision making under uncertainty

Padilla, L., Hansen, G., Ruginski, I. T., Kramer, H. S., Thompson, W. B., & Creem-Regehr, S. H. (2015). The influence of different graphical displays on nonexpert decision making under uncertainty. Journal of Experimental Psychology: Applied, 21(1), 37.

*All data and tasks published on this site are proprietary but freely available for academic use only under the Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. No companies may profit directly or indirectly from materials made available on this site or upon request. We are making our best efforts to make materials freely accessible to academic researchers and students. This is a time-consuming process, so please email lace.m.k.padilla@gmail.com if you are a student or university affiliate and would like access to any materials not yet posted on this site. ©Lace Padilla 2017