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

Description Details Author(s) References See Also

Description

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.

Details

The main functions are:

Other helpful functions are:

Author(s)

Maintainer: Stefan Mayer stefan@mayer-de.com (0000-0003-0034-7090)

References

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/osf.io/gtbhw

See Also

Useful links:


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