Publications

Published

2026

Mixed Uncertainty in One View: Co-Visualizing Statistical Variability and Qualitative Confidence

R. Fygenson, L. Padilla, and L. E. Matzen
to appear at IEEE VIS 2026
[pre-print] [OSF repository]

Seeing Through the Forecast Clutter: Communicating Forecast Distributions with Weighted Multiple Forecast Visualizations

R. Zou, S. Wu, R. Fygenson, D. Wang, and L. Padilla
to appear at IEEE VIS 2026
[pre-print] [OSF repository]

Cognitive Affordances in Data Visualization

R. Fygenson
Northeastern University, Computer Science PhD Dissertation, 2026
Committee: Enrico Bertini, Lace Padilla, Steven Franconeri, and Melanie Tory
[dissertation]

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
in Advances in Patient-Reported Outcomes, 2026
[publication]

Affordance-Informed Visualization Designs: Modulating Performance of Probability Density Functions

R. Fygenson, E. Bertini, and L. Padilla
Eurovis 2026 / Wiley Computer Graphics Forum, 2026
[pre-print] [OSF repository] [publication]

Examining Interpretation Strategies for Multiple Forecast Visualizations with Two and Four Forecasts

L. Padilla, R. Fygenson, C. Wilson, K. Potter, and S. Castro
Honorable Mention Award, ACM CHI 2026
[pre-print] [OSF repository] [publication]

Striking a Balance: Evaluating How Aggregations of Multiple Forecasts Impact Decision Making

R. Zou, S. Wu, R. Fygenson, B. Yao, D. Wang, and L. Padilla
IEEE PacificVis 2026
[pre-print] [OSF repository] [publication]

2025

Cognitive Affordances in Visualization: Related Constructs, Design Factors and Framework

R. Fygenson, L. Padilla, and E. Bertini
IEEE TVCG 2025
[pre-print] [publication]

2024

Opening the Black Box of 3D Reconstruction Error Analysis with VECTOR

R. Fygenson, 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]

2023

The Arrangement of Marks Impacts Afforded Messages: Ordering, Partitioning, Spacing, and Coloring in Bar Charts

R. Fygenson, S. Franconeri, and E. Bertini
IEEE VIS 2023 / IEEE TVCG, 2024
[pre-print] [OSF repository] [publication]

2022

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]

2017

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, and S. Girouard
ACM ISWC 2017
[publication]

In Preparation

Which Dials to Turn? A Guide to Organizing Databases for Visualizations

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

2020

Electronic device fabric integration

US20200004290A1
N. Dabby, S. Oster, A. Aleksov, B. Lathrop, and R. Fygenson
[patent]