Publications

Published ——————————

Examining Interpretation Strategies for Multiple Forecast Visualizations
with Two and Four Forecasts
Honorable Mention Award
— to appear at ACM CHI 2026
L. Padilla, R. Fygenson, C. Wilson, K. Potter, and S. Castro [pre-print, OSF repository]

Striking a Balance: Evaluating How Aggregations of Multiple Forecasts Impact Decision Making
R. Zuo, S. Wu, R. Fygenson, B. Yao, D. Wang, and L. Padilla
to appear at IEEE PacificVis 2026
[pre-print][OSF repository]

Opening the Black Box of 3D Reconstruction Error Analysis with VECTOR
R. Fygenson and K. Jawas, I. Li, F. Ayoub, R.G. Deen, S. Davidoff, D. Moritz, and M. Hess-Flores
Short Paper. IEEE VIS 2024 / IEEE TVCG, 2025
[pre-print, code, publication]

Multiple Forecast Visualizations (MFVs): Trade-offs in Trust and Performance in Multiple COVID-19 Forecast Visualizations
L. Padilla, R. Fygenson, S Castro, and E. Bertini
Best Paper Award (top 1%) —IEEE VIS 2022 / IEEE TVCG, 2023
[pre-print, OSF repository, preview video, publication]

Impact of COVID-19 Forecast Visualizations on Pandemic Risk Perceptions
L. Padilla, H. Hosseinpour, R. Fygenson, J. Howell, R. Chunara, and E. Bertini
Scientific Reports, 2022
[pre-print, publication]

A scalable process for manufacturing integrated, washable smart garments applied to heart rate monitoring
N. Dabby, A. Aleksov, E. Lewallen, S. Oster,
R. Fygenson, B. Lathrop, M. Bynum, M. Samady, S. Klein, S. Girouard
ACM ISWC 2017
[publication]

In Preparation ——————————

Affordance-Informed Visualization Designs: Modulating Performance of Probability Density Functions
R. Fygenson, E. Bertini and L. Padilla

Evaluation and redesign of longitudinal Patient-Reported Outcome score visualizations for improved trend interpretability:
A randomized experimental study
R. Fygenson, E. Bertini and H.T. Gold

A Systematic Evaluation of Multi-Uncertainty Visualizations
R. Fygenson, L. Padilla, and L. E. Matzen

Interaction Contracts for Database-backed Visualization
J. Adams, R. Fygenson, J. A. Guerra-Gómez, M. Tory, and M. A. Borkin

Set Visualizations for Comparing and Evaluating Machine Learning Models
L. Panavas, T. Crnovrsanin, R. Fygenson, E. Conway, D. Millard, N. Buchler, and C. Dunne

Patents ——————————

Electronic device fabric integration
US20200004290A1, 2020
N. Dabby, S. Oster, A. Aleksov, B. Lathrop, R. Fygenson
[patent]