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- W4205645975 abstract "Research has shown that body size judgements are frequently biased, or inaccurate. Critically, judgement biases are further exaggerated for individuals with eating disorders, a finding that has been attributed to difficulties integrating body features into a perceptual whole. However, current understanding of which body features are integrated when judging body size is lacking. In this study, we examine whether individuals integrate three-dimensional (3D) cues to body volume when making body size judgements. Computer-generated body stimuli were presented in a 3D Virtual Reality environment. Participants ( N = 412) were randomly assigned to one of the two conditions: in one condition, the to-be-judged body was displayed binocularly (containing 3D cues to body volume); in the other, bodies were presented monocularly (two-dimensional [2D] cues only). Across 150 trials, participants were required to make a body size judgement of a target female body from a third-person point of view using an unmarked visual analogue scale (VAS). It was found that 3D cues significantly influenced body size judgements. Namely, thin 3D bodies were judged smaller, and overweight 3D bodies were judged larger, than their 2D counterpart. Furthermore, to reconcile these effects, we present evidence that the two perceptual biases, regression to the mean and serial dependence, were reduced by the additional 3D feature information. Our findings increase our understanding of how body size is perceptually encoded and creates testable predictions for clinical populations exhibiting integration difficulties." @default.
- W4205645975 created "2022-01-25" @default.
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- W4205645975 date "2022-02-10" @default.
- W4205645975 modified "2023-10-15" @default.
- W4205645975 title "The influence of three-dimensional cues on body size judgements" @default.
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- W4205645975 doi "https://doi.org/10.1177/17470218221076850" @default.
- W4205645975 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35034530" @default.
- W4205645975 hasPublicationYear "2022" @default.
- W4205645975 type Work @default.