Beauty ideals modulate recognition of filtered images

Abstract

Social media has affected how we relate to our body image. Digital makeovers have both reinforced existing beauty ideals and created new ones. This project investigated whether young adults' recognition of image filters was associated by the beliefs of beauty ideals and gender. Participants completed a visual detection task (forced choice paradigm) where contrast filter correction was assessed for images of female and male bodies that were thin, average, or curvaceous/muscular. Results showed that people respond faster, and accuracy is higher when filters are applied to bodies that represent the historical beauty ideals: thin female bodies and muscular male bodies. These findings suggest that the perception of low-level image features is associated to fit the beliefs about beauty.