imagefluency-package: imagefluency: Image Statistics Based on Processing Fluency

Description Details Author(s) References See Also


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/> for the theoretical background of the methods.


The main functions are:

Other helpful functions are:


Maintainer: Stefan Mayer (0000-0003-0034-7090)


Mayer, S. & Landwehr, J, R. (2018). Quantifying Visual Aesthetics Based on Processing Fluency Theory: Four Algorithmic Measures for Antecedents of Aesthetic Preferences. Psychology of Aesthetics, Creativity, and the Arts, 12(4), 399–431. doi:10.1037/aca0000187

Mayer, S. & Landwehr, J. R. (2018). Objective measures of design typicality. Design Studies, 54, 146–161. doi:10.31219/

See Also

Useful links:

imagefluency documentation built on Jan. 9, 2020, 5:09 p.m.