BeauVis: A Validated Scale for Measuring the Aesthetic Pleasure of Visual Representations

This is a repository for all data and analysis scripts used in the paper "BeauVis: A Validated Scale for Measuring the Aesthetic Pleasure of Visual Representations", presented at IEEE Visualization 2022 and published in the journal IEEE Transactions on Visualization and Computer Graphics. If you use the results in new projects or use it in a different way we would appreciate a citation:

Tingying He, Petra Isenberg, Raimund Dachselt, and Tobias Isenberg. BeauVis: A Validated Scale for Measuring the Aesthetic Pleasure of Visual Representations. IEEE Transactions on Visualization and Computer Graphics, 2023. To appear. doi: 10.1109/TVCG.2022.3209390; open-access versions are available at https://hal.inria.fr/hal-03763559 and at https://doi.org/10.48550/arXiv.2207.14147

Bibtex

@article{He:2023:BVS,
  author      = {Tingying He and Petra Isenberg and Raimund Dachselt and Tobias Isenberg},
  title       = {{B}eau{V}is: A Validated Scale for Measuring the Aesthetic Pleasure of Visual Representations},
  journal     = {IEEE Transactions on Visualization and Computer Graphics},
  year        = {2023},
  volume      = {29},
  number      = {1},
  month       = jan,
  pages       = {363--373},
  doi         = {10.1109/TVCG.2022.3209390},
  shortdoi    = {10/kt3n},
  doi_url     = {https://doi.org/10.1109/TVCG.2022.3209390},
  oa_hal_url  = {https://hal.inria.fr/hal-03763559},
  preprint    = {https://doi.org/10.48550/arXiv.2207.14147},
  osf_url     = {https://osf.io/fxs76/},
  osf_url2    = {https://osf.io/djrn3/},
  url         = {https://tobias.isenberg.cc/VideosAndDemos/He2023BVS},
  url2        = {[https://www.aviz.fr/Research/BeauVis-Scale](https://tingying-he.github.io/projects/He_2023_BeauVis.html)},
  url3        = {https://www.aviz.fr/Research/BeauVis-Scale},
  github_url  = {https://github.com/tingying-he/beauvis},
  pdf         = {https://tobias.isenberg.cc/personal/papers/He_2023_BVS.pdf},
}

Project websites

• https://tingying-he.github.io/projects/He_2023_BeauVis.html
• https://tobias.isenberg.cc/VideosAndDemos/He2023BVS
• https://www.aviz.fr/Research/BeauVis-Scale

Requirements

The R script contained within this repository requires, in addition to a normal R installation, several packages including (potentially more):

• png
• psych
• EFA.dimensions
• imager
• corrplot
• knitr
• kableExtra
• xtable
• dplyr
• tibble
• ggplot2
• lavaan
• ltm

To install these required packages, run the following call from a command line: Rscript -e "install.packages(c('png', 'psych', 'EFA.dimensions', 'imager', 'corrplot', 'knitr', 'kableExtra', 'xtable', 'dplyr', 'tibble', 'ggplot2', 'lavaan', 'ltm'), repos='https://cran.rstudio.com')"

If you encounter problem with Pandoc:

1. To check whether Pandoc was correctly installed: Rscript -e "rmarkdown::pandoc_exec()"
2. To install Pandoc from its official website: https://pandoc.org/installing.html . If you use macOS, you can also use Homebrew to install it: brew install pandoc

Running the R script

1. clone this repository git clone git@github.com:tingying-he/beauvis.git or downlaod codes through zip from the repository
2. change to the cloned directory cd beauvis
3. knit the oneclick.Rmd by running Rscript -e "library(rmarkdown); rmarkdown::render('./oneclick.Rmd', 'html_document')"

Files produced

After the script completes, in the results folder you should see the following figures and tables from the paper:

• Fig. 3 (ScreePlot-Image_1 .pdf)
• Fig. 6a (Image 2 Ratings Per Scale.pdf)
• Fig. 6b (Image 9 Ratings Per Scale.pdf)
• Fig. 8 (Average Rating for the 5 item scale.pdf)
• Fig. 9–23 (ScreePlot-Image_* .pdf)
• Fig. 43–57 (Image * Ratings Per Scale.pdf)
• Table 1 (factor_numbers.tsv)
• Table 2 (cfa_good_fit.tsv)
• Table 3 (cfa_factor_loading.tsv)
• Table 4 (cfa_alpha.tsv)
• Table 5 (cfa_pearson.tsv)
• Tables 12–26 (efa_1factor_image*.tsv)
• Tables 27, 29, 31, 33, 35, 37, 39, 41, 43, 45, 47, 49, 51, 53, 55 (efa_2factors_varimax_image*.tsv)
• Tables 28, 30, 32, 34, 36, 38, 40, 42, 44, 46, 48, 50, 52, 54, 56 (efa_2factors_promax_image*.tsv)

Other images from the paper (i.e., Fig. 5, Fig. 24–27, Fig. 28–42) were created with the tool Tableau, so we could not script them.