School of Psychological Science, University of Western Australia, Crawley, WA, 6009, Australia.
ARC Centre of Excellence in Cognition and its Disorders, University of Western Australia, Crawley, WA, Australia.
Sci Rep. 2018 Jan 9;8(1):215. doi: 10.1038/s41598-017-18418-3.
Body size is a salient marker of physical health, with extremes implicated in various mental and physical health issues. It is therefore important to understand the mechanisms of perception of body size of self and others. We report a novel technique we term the bodyline, based on the numberline technique in numerosity studies. One hundred and three young women judged the size of sequentially presented female body images by positioning a marker on a line, delineated with images of extreme sizes. Participants performed this task easily and well, with average standard deviations less than 6% of the total scale. Critically, judgments of size were biased towards the previously viewed body, demonstrating that serial dependencies occur in the judgment of body size. The magnitude of serial dependence was well predicted by a simple Kalman-filter ideal-observer model, suggesting that serial dependence occurs in an optimal, adaptive way to improve performance in size judgments.
体型是身体健康的一个显著标志,极端体型与各种身心健康问题有关。因此,了解自我和他人体型感知的机制非常重要。我们报告了一种新的技术,我们称之为身体线,它基于数量研究中的数字线技术。103 名年轻女性通过在一条线上标记一个标记来判断顺序呈现的女性身体图像的大小,这条线由极端大小的图像划定。参与者轻松且出色地完成了这项任务,平均标准偏差小于总标度的 6%。关键的是,大小的判断偏向于之前看到的身体,这表明在判断身体大小时会出现序列依赖。序列依赖的大小可以很好地由一个简单的卡尔曼滤波理想观察者模型来预测,这表明序列依赖以一种优化的、自适应的方式发生,以提高大小判断的表现。