Photo of Lace Padilla

Lace Padilla

CV · · · · Mastodon
l.padilla [at] northeastern.edu
Lab Website
Northeastern University
Teaching
  • Visualization and HCI as decision making aids (Fall 24)
  • Information Visualization Theory and Application (Fall 23)
  • Global Good Studio: Data Visualization (SP 20, Fall 21-22)
  • Judgement and Decision Making (SP 20, SP 21, Fall 21-22)

Journal and Conference Papers

For a more thorough and updated list, including workshop proceedings, book chapters, and magazine articles, see my Google Scholar page.

2024

IEEE VIS 2024: Impact of Vertical Scaling onNormal Probability Density Function Plots
Fygenson, R., Padilla, L.
PDF
IEEE VIS 2024: Mind Drifts, Data Shifts: Utilizing Mind Wandering to Track the Evolution of User Experience with Data Visualizations.
Arunkumar, A., Padilla, L., Bryan, C
PDF | Data + Analysis
IEEE VIS Short Paper 2024: “Must Be a Tuesday”: Affect, Attribution, and Geographic Variability inEquity-Oriented Visualizations of Population Health Disparities
Holder, E., Padilla, L.
PDF | Data + Analysis
CHI 2024: Rethinking human-ai collaboration in complex medical decision making: A case study in sepsis diagnosis.
Zhang, S., Yu, J., Xu, X., Yin, C., Lu, Y., Yao, B., Tory, M., Padilla, L., Caterino, J., Zhang, P., Wang, D.
PDF | Talk
TVCG 2024: Examining Limits of Small Multiples: Frame Quantity Impacts Judgments with Line Graphs
Hosseinpour, H., Matzen, L. E., Divis, K. M., Castro, S. C., Padilla, L.
PDF | Data + Analysis

2023

IEEE VIS 2023 (Best Paper Award Honerable Mention, Top 5%): Average Estimates in Line Graphs are Biased Toward Areas of Higher Variability.
Moritz, D., Padilla, L., Nguyen, F., Franconeri, S.
PDF | Data + Analysis | Pre-registration | Slides
IEEE VIS 2023: Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification
Arunkumar, A., Padilla, L., Bae, G., Bryan, C.
PDF | Supplementary Materials
Drivers of social acceptance of natural-resource management: A comparison of the public and professionals in California
Eriksson, M., Safeeq, M., Padilla, L., Pathak, T., O'Geen, T., Egoh, B., Lugg, J. and Bales, R.
Journal of Environmental Management, 345, p.118605.
PDF
Visualization Psychology
Szafir, D.A., Borgo, R., Chen, M., Edwards, D.J., Fisher, B. and Padilla, L. eds.,
Springer Nature. 2023
Purchase Book Online
Improving Evaluation Using Visualization Decision-Making Models: A Practical Guide.
Bancilhon, M., Padilla, L. and Ottley, A.
In Visualization Psychology (pp. 85-107). Springer Nature. 2023
PDF

2022

IEEE VIS 2022 (Best Paper Award, Top 1%): Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations.
Padilla, L.., Fygenson, R., Castro, S., Bertini, E.
PDF | Data + Analysis | Pre-registration
Impact of COVID-19 forecast visualizations on pandemic risk perceptions.
Padilla, L., Hosseinpour, H., Fygenson, R., Howell, J., Chunara, R., and Bertini, E.
Nature's Scientific Reports, 2022.
PDF | Data + Analysis

2021

The Science of Visual Data Communication: What Works.
Franconeri, S. L., Padilla, L., Shah, P., Zacks, J. M., and Hullman, J.
Psychological Science in the Public Interest, 2021. PDF
IEEE VIS 2021: Examining Effort in 1D Uncertainty Communication Using Individual Differences in Working Memory and NASA-TLX.
Castro, S. C., Hosseinpour, H., Quinan, P. S., & Padilla, L.
PDF | Data + Analysis
IEEE VIS 2021: Conceptual metaphor and graphical convention influence the interpretation of line graphs.
Greg Woodin, Bodo Winter, Bertini, E., Padilla, L..
PDF | Data + Analysis | Pre-registration
Multiple Hazard Uncertainty Visualization Challenges and Paths Forward.
Padilla, L.., Dryhurst, S., Hosseinpour, H., & Kruczkiewicz, A.
Frontiers in Psychology, 2021. PDF
A review of uncertainty visualization errors: Working memory as an explanatory theory.
Padilla, L.., Castro, S. C., & Hosseinpour, H.
The Psychology of Learning and Motivation, 2021. PDF
Uncertainty Visualization (book chapter)
Padilla, L.., Kay, M. and Hullman, J.
Computational Statistics in Data Science, 2021. PDF
CHI 2021: Mapping the Landscape of COVID-19 Crisis Visualizations
Zhang, Y., Sun, Y.,Padilla, L.., Barua, S., Bertini, E., & Parker, A. G. PDF
Uncertain About Uncertainty: How Qualitative Expressions of Forecaster Confidence Impact Decision-Making with Uncertainty Visualizations
Padilla, L.., Powell, M., Kay, M., & Hullman, J.
Frontiers in Psychology, 2021.
PDF | Data + Analysis
Through the eyes of the expert: Evaluating holistic processing in architects through gaze-contingent viewing
Ivy, S., Rohovit, T., Lavelle, M., Padilla, L.., Stefanucci, J., Stokes, D., & Drew, T.
Psychonomic Bulletin & Review, 2021. PDF

2020

APA CAREER Award (Top 1%): The Powerful Influence of Marks: Visual and Knowledge-Driven Processing in Hurricane Track Displays.
Padilla, L.., Creem-Regehr, S. H., & Thompson, W.
Journal of Experimental Psychology: Applied, 2020.
PDF | Data + Analysis
Factors Predicting Willingness to Share COVID-19 Misinformation
Lobato, Emilio J. C., Maia Powell, Lace M. K. Padilla., and Colin Holbrook.
Frontiers in Psychology, 2020. PDF
Using Behavioral Insights to Improve Disaster Preparedness, Early Warning and Response Mechanisms in Haiti (English)
Llopis Abella, J., Perge, B,. Afif, Z., Soto O.,, Ruth, C., Padilla, L, Hsu, J.
PDF

2019

IEEE VIS 2019: Toward objective evaluation of working memory in visualizations: A case study using pupillometry and a dual-task paradigm
Padilla, L., Castro, S. C., Quinan, P. S., Ruginski, I. T., & Creem-Regehr, S. H.
PDF | Data + Analysis
Examining Explicit Discretization in Spectral Schemes
Quinan, P., Padilla, L., Creem-Regehr, S., & Meyer, M.
Computer Graphics Forum, 2019. PDF

2018

Decision Making with Visualizations: A Cognitive Framework Across Disciplines
Padilla, L., Creem-Regehr, S. H., Hegarty, M., & Stefanucci, J. K.
Cognitive Research: Principles and Implications, 2018. PDF
IEEE VIS 2018: Visualizing uncertain tropical cyclone predictions using representative samples from ensembles of forecast tracks
Liu, L., Padilla, L., Creem-Regehr, S. H., & House, D. H.
PDF | Visualization Technique Code

2017

Effects of Ensemble and Summary Displays on Interpretations of Geospatial Uncertainty Data
Padilla, L., Ruginski, I., Creem-Regehr, S. H.
Cognitive Research: Principles and Implications, 2017.
PDF | Data + Analysis
Sex Differences in Virtual Navigation Influenced by Scale and Navigation Experience
Padilla, L., Creem-Regehr, S. H., Stefanucci, J. K., & Cashdan, E. A.
Psychonomic Bulletin & Review, 2017.
PDF | Data + Analysis
IEEE VIS 2017: Uncertainty Visualization by Representative Sampling from Prediction Ensembles
Liu, L., Boone, A. P., Ruginski, I. T., Padilla, L., Hegarty, M., Creem-Regehr, S. H., & House, D. H.
PDF Data

2016

Non-expert Interpretations of Hurricane Forecast Uncertainty Visualizations
Ruginski, I. T., Boone, A. P., Padilla, L., Liu, L., Heydari, N., Kramer, H. S., & Creem-Regehr, S. H.
Spatial Cognition & Computation, 2016.
PDF | Data
IEEE VIS 2016: Evaluating the Impact of Binning 2D Scalar Fields
Padilla, L., Quinan, P. S., Meyer, M., & Creem-Regehr, S. H.
PDF |
Mobility and Navigation among the Yucatec Maya
Ashdan, E., Kramer, K. L., Davis, H. E., Padilla, L., & Greaves, R. D.
Human Nature, 2016. PDF
Sex differences in mobility and spatial cognition
Vashro, L., Padilla, L., & Cashdan, E.
Human Nature, 2016. PDF

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.
Journal of Experimental Psychology: Applied, 2015. PDF