Suppr超能文献

依赖视角的女性身体体重判断准确性。

View-dependent accuracy in body mass judgements of female bodies.

机构信息

Department of Psychology, Faculty of Health & Life Sciences, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK.

School of Psychology, College of Social Science, University of Lincoln, Lincolnshire, LN6 7TS, UK.

出版信息

Body Image. 2018 Mar;24:116-123. doi: 10.1016/j.bodyim.2017.12.007. Epub 2018 Feb 3.

Abstract

A fundamental issue in testing body image perception is how to present the test stimuli. Previous studies have almost exclusively used images of bodies viewed in front-view, but this potentially obscures key visual cues used to judge adiposity reducing the ability to make accurate judgements. A potential solution is to use a three-quarter view, which combines visual cues to body fat that can be observed in front and profile. To test this hypothesis, 20 female observers completed a 2-alternative forced choice paradigm to determine the smallest difference in body fat detectable in female bodies in front, three-quarter, and profile view. There was a significant advantage for three-quarter and profile relative to front-view. Discrimination accuracy is predicted by the saliency of stomach depth, suggesting that this is a key visual cue used to judge body mass. In future, bodies should ideally be presented in three-quarter to accurately assess body size discrimination.

摘要

检测体像感知的一个基本问题是如何呈现测试刺激。之前的研究几乎完全使用正面视图的身体图像,但这可能会掩盖用于判断肥胖的关键视觉线索,从而降低准确判断的能力。一种潜在的解决方案是使用四分之三视图,它结合了可以从前视图和侧视图观察到的身体脂肪的视觉线索。为了验证这一假设,20 名女性观察者完成了一个 2 种选择强制选择范式,以确定在正面、四分之三和侧面视图中可检测到的女性身体脂肪最小差异。与正面视图相比,四分之三和侧面视图具有明显优势。判别准确率由胃深度的显著性预测,这表明这是用于判断体重的关键视觉线索。在未来,为了准确评估体型判别,身体理想情况下应该以四分之三视图呈现。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验