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The influence of three-dimensional cues on body size judgements. | LitMetric

AI Article Synopsis

  • Research indicates that judgments about body size are often biased, especially among individuals with eating disorders, due to challenges in perceiving body features as a whole.
  • This study investigates how individuals integrate 3D cues of body volume in body size judgments by using a Virtual Reality setup with 412 participants, comparing 3D (binocular) and 2D (monocular) presentations.
  • Results show that 3D visual cues significantly impacted size judgments, leading to thinner and more accurate assessments of overweight bodies compared to 2D displays, and highlighted how these cues can mitigate perceptual biases often seen in body image evaluations.

Article 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 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 ( = 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 , and overweight 3D bodies were judged , 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.

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Source
http://dx.doi.org/10.1177/17470218221076850DOI Listing

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