Visualization Decision Making Laboratory

Featured Publication: IEEE VIS Best Paper 2022

Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations

The prevalence of inadequate SARS-COV-2 (COVID-19) responses may indicate a lack of trust in forecasts and risk communication. However, no work has empirically tested how multiple forecast visualization choices impact trust and task-based performance. The three studies presented in this paper (N = 1299) examine how visualization choices impact trust in COVID-19 mortality forecasts and how they influence performance in a trend prediction task. These studies focus on line charts populated with real-time COVID-19 data that varied the number and color encoding of the forecasts and the presence of best/worst-case forecasts. The studies reveal that trust in COVID-19 forecast visualizations initially increases with the number of forecasts and then plateaus after 6-9 forecasts. However, participants were most trusting of visualizations that showed less visual information, including a 95% confidence interval, single forecast...

Best Paper Award at VIS 2022. Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations

Padilla, L., Fygenson, R., Castro, S., & Bertini, E. (2022). To be presented at VIS 2020.

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

The Science of Visual Data Communication: What Works.

Citation: Franconeri, S. L., Padilla, L. M., Shah, P., Zacks, J. M., & Hullman, J. (2021). The science of visual data communication: What works. Psychological Science in the Public Interest, 22(3), 110-161.

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

Citation: Castro, S. C., Hosseinpour, H., Quinan, P. S., & Padilla, L. (2021). Examining effort in 1d uncertainty communication using individual differences in working memory and nasa-tlx. IEEE Transactions on Visualization and Computer Graphics.

Conceptual metaphor and graphical convention influence the interpretation of line graphs.

Citation: Greg Woodin, Bodo Winter, and Lace Padilla (2021 in press). IEEE VIS 2021.

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.

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

Uncertainty Visualization (book chapter)

Citation: Padilla, L., Kay, M. and Hullman, J. (2021). Uncertainty Visualization. In Wiley StatsRef: Statistics Reference Online (eds N. Balakrishnan, T. Colton, B. Everitt, W. Piegorsch, F. Ruggeri and J.L. Teugels). https://doi.org/10.1002/9781118445112.stat08296

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.

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.

Through the eyes of the expert: Evaluating holistic processing in architects through gaze-contingent viewing

Citation: Ivy, S., Rohovit, T., Lavelle, M., Padilla, L., Stefanucci, J., Stokes, D., & Drew, T. (2021). Through the eyes of the expert: Evaluating holistic processing in architects through gaze-contingent viewing. Psychonomic Bulletin & Review, 1-9.

2020

The Powerful Influence of Marks: Visual and Knowledge-Driven Processing in Hurricane Track Displays. *APA Early Career Award

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.

Factors Predicting Willingness to Share COVID-19 Misinformation

Citation: Lobato, Emilio J. C., Maia Powell, Lace M. K. Padilla, and Colin Holbrook. 2020. "Factors Predicting Willingness to Share COVID-19 Misinformation." Frontiers in Psychology 11 (2413).

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.

2019

Toward objective evaluation of working memory in visualizations: A case study using pupillometry and a dual-task paradigm.

Citation: Padilla, L. M., Castro, S. C., Quinan, P. S., Ruginski, I. T., & Creem-Regehr, S. H. (2019). Toward Objective Evaluation of Working Memory in Visualizations: A Case Study Using Pupillometry and a Dual-Task Paradigm. IEEE transactions on visualization and computer graphics, 26(1), 332-342.

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

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.

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

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

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

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.

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

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

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)

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.

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

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