Mastodon Visualization Decision Making Laboratory
  • Decision-making with uncertainty
  • Uncertainty communication
  • Risk preparedness

Uncertainty Cognition

We live in an uncertain world. From weather events to financial markets, every day we are confronted with uncertainty. However, even experts have difficulty reasoning with uncertainty. Visualizations allow our visual systems to identify patterns in data that would otherwise go unnoticed. Visualizations can also help us focus on relevant data when making probabilistic judgments. Unfortunately, visualizing the uncertainty in complex phenomena such as hurricane forecasts can introduce new problems, as evidenced by the confusion associated with Hurricane Dorian's path. We study state-of-the-art uncertainty visualizations, along with the cognitive processes that lead to misunderstandings of forecast data.


Topics
uncertainty visualization, measuring cognitive effort, theoretical models of decision making with visualizations, mental models of data, rainbow color maps, effects of binning continuous data, hurricane forecasting, hazard maps, metaphors

Featured Media

Publications

2022

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Impact of COVID-19 forecast visualizations on pandemic risk perceptions.

Citation: Padilla, L., Hosseinpour, H., Fygenson, R., Howell, J., Chunara, R., & Bertini, E. (2022). Impact of COVID-19 forecast visualizations on pandemic risk perceptions. Scientific reports, 12(1), 1-14.

2021

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Examining Effort in 1D Uncertainty Communication Using Individual Differences in Working Memory and NASA-TLX.

Citation: Spencer C Castro, Helia Hosseinpour, P Samuel Quinan, Lace Padilla (2021 in press). IEEE VIS 2021.
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Multiple Hazard Uncertainty Visualization Challenges and Paths Forward.

Citation: Padilla, L. M., Dryhurst, S., Hosseinpour, H., & Kruczkiewicz, A. (2021). Multiple Hazard Uncertainty Visualization Challenges and Paths Forward. Frontiers in Psychology, 12, 1993.
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A review of uncertainty visualization errors: Working memory as an explanatory theory.

Citation: Padilla, L., Castro, S. C., & Hosseinpour, H. (2021). A review of uncertainty visualization errors: Working memory as an explanatory theory. In K. D. Federmeier (Ed.), The psychology of learning and motivation (Vol. 74, pp. 275–315). Psychology of Learning and Motivation. Academic Press. doi:https://doi.org/10.1016/bs.plm.2021.03.001
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Uncertainty Visualization (book chapter)

Citation: Padilla, Kay, & Hullman (in press). Uncertainty Visualization. To appear in, Handbook of Computational Statistics and Data Science.
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Mapping the Landscape of COVID-19 Crisis Visualizations

Citation: Zhang, Y., Sun, Y., Padilla, L., Barua, S., Bertini, E., & Parker, A. G. (2021). Mapping the Landscape of COVID-19 Crisis Visualizations. To apprear in CHI 2021.
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Uncertain about uncertainty: How qualitative expressions of forecaster confidence impact decision-making with uncertainty visualizations

Citation: Padilla, L. M., Powell, M., Kay, M., & Hullman, J. (2021). Uncertain about uncertainty: How qualitative expressions of forecaster confidence impact decision-making with uncertainty visualizations. Frontiers in Psychology, 11.

2020

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Using Behavioral Insights to Improve Disaster Preparedness, Early Warning and Response Mechanisms in Haiti (English)

Citation: Llopis Abella, Jimena; Perge, Emilie Bernadette; Afif, Zeina; Soto Orozco, Claudia Ruth; Padilla, Lace M; Hsu, Jessica. 2020.Using Behavioral Insights to Improve Disaster Preparedness, Early Warning and Response Mechanisms in Haiti (English). eMBeD brief. Washington, D.C. : World Bank Group.
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The Powerful Influence of Marks: Visual and Knowledge-Driven Processing in Hurricane Track Displays

Citation:Padilla, L. M., Creem-Regehr, S. H., & Thompson, W. (2020). The powerful influence of marks: Visual and knowledge-driven processing in hurricane track displays. Journal of Experimental Psychology: Applied, 26(1), 1.

2018

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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., & House, D. (2018). Visualizing uncertain tropical cyclone predictions using representative samples from ensembles of forecast tracks. IEEE transactions on visualization and computer graphics.

*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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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

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.