This repository contains all the supplementary materials related to the development, validation, and implementation of PREVis scales, as published in this paper:
Anne-Flore Cabouat, Tingying He, Petra Isenberg, and Tobias Isenberg. PREVis: Perceived Readability Evaluation for Visualizations. IEEE Transactions on Visualization and Computer Graphics, 31, 2025. To appear. doi: 10.1109/TVCG.2024.3456318
To learn more about PREVis and how to use it, check out our website aviz.fr/PREViz
If you use any material from this repository please cite the paper. Here's a bibTeX entry:
@article{Cabouat:2025:PPR,
author = {Anne-Flore Cabouat and Tingying He and Petra Isenberg and Tobias Isenberg},
title = {{PREVis}: Perceived Readability Evaluation for Visualizations},
journal = {IEEE Transactions on Visualization and Computer Graphics},
year = {2025},
volume = {31},
doi = {10.1109/TVCG.2024.3456318},
osf_url = {https://osf.io/9cg8j/},
github_url = {https://github.com/AF-Cabouat/PREVis-scales/},
url = {https://doi.org/10.1109/TVCG.2024.3456318},
}
research code: this is the folder with all the code and data for reproducible steps of our research project.using PREVis: if you want to use PREVis scales in a study, this is where we put all the resources you need. The folder contains a detailed PDF companion guide with a FAQ section and example study protocols. It also contains a folder with example data and code for visual analysis and presentation of your study results.
This work is licensed under a Creative Commons Attribution 4.0 International License. To use it, please cite the paper mentioned above and attribute the materials to the authors of the paper.
A companion OSF repository was provided at the time of submission on osf.io/9cg8j for the original research project.
The process for reproducing Figures 4 and 5 from the main paper and Figures 78 to 99 from the Appendix relies on R and Jupyter Notebooks and is described in detail in a dedicated readme file, please see it and follow the instructions there.
The process for reproducing Figures 14 to 27 and 29 to 71 from the Appendix relies on R and Jupyter Notebooks and is described in detail in a dedicated readme file, please see it and follow the instructions there.
