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imagefluency: Image Statistics Based on Processing Fluency
Get image statistics based on processing fluency theory. The functions provide scores for several basic aesthetic principles that facilitate fluent cognitive processing of images: contrast, complexity / simplicity, self-similarity, symmetry, and typicality. See Mayer & Landwehr (2018) <doi:10.1037/aca0000187> and Mayer & Landwehr (2018) <doi:10.31219/osf.io/gtbhw> for the theoretical background of the methods.
Getting started
Browse package contents
Package details |
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| Author | Stefan Mayer [aut, cre] (<https://orcid.org/0000-0003-0034-7090>) |
| Maintainer | Stefan Mayer <stefan@mayer-de.com> |
| License | GPL-3 |
| Version | 0.2.5 |
| URL | https://imagefluency.com https://github.com/stm/imagefluency/ https://doi.org/10.5281/zenodo.5614665 |
| Package repository | View on CRAN |
| Installation |
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