The visual cues that drive the self-assessment of body size: Dissociation between fixation patterns and the key areas of the body for accurate judgement
The visual cues that drive the self-assessment of body size: Dissociation between fixation patterns and the key areas of the body for accurate judgement
复制标题
DOI：
10.1016/j.bodyim.2019.02.006
复制
发表时间：
2019-06-01
期刊：
影响因子：
5.2
通讯作者：
Cornelissen, Piers L.
中科院分区：
文献类型：
--
作者：
Irvine, Kamila R.;McCarty, Kristofor;Cornelissen, Piers L.
在三个实验中使用了气泡掩蔽范例的修改版本，以确定用于自我估计身体尺寸的身体关键区域。在这种范式中，部分刺激由几个随机分配的高斯“窗口”揭示，迫使基于这部分信息做出判断。通过多次试验，对所有潜在线索进行采样，并确定每个窗口预测判断的有效性。修改后的气泡策略强调中心线索与边缘线索之间的区别，并定位用于判断自己身体尺寸的视觉特征。此外，结合气泡范式测量了眼球运动，并将结果映射到公共参考空间上。这表明，尽管观察者集中注视躯干，但他们实际上将视觉注意力集中在躯干的边缘，以测量身体宽度作为身体尺寸的指标。中央注视点是定位眼睛以进行估计的最有效方法。不准确的观察者的中心注视不太精确，并且不会将注意力均匀地分配到躯干边缘的两侧，这说明了有效采样关键信息的重要性。 (C) 2019 Elsevier Ltd. 保留所有权利。
A modified version of the bubbles masking paradigm was used in three experiments to determine the key areas of the body that are used in self-estimates of body size. In this paradigm, parts of the stimuli are revealed by several randomly allocated Gaussian "windows" forcing judgements to be made based on this partial information. Over multiple trials, all potential cues are sampled, and the effectiveness of each window at predicting the judgement is determined. The modified bubbles strategy emphasises the distinction between central versus edge cues and localises the visual features used in judging one's own body size. In addition, eye-movements were measured in conjunction with the bubbles paradigm and the results mapped onto a common reference space. This shows that although observers fixate centrally on the torso, they are actually directing their visual attention to the edges of the torso to gauge body width as an index of body size. The central fixations are simply the most efficient way of positioning the eye to make this estimation. Inaccurate observers are less precise in their central fixations and do not evenly allocate their attention to both sides of the torso's edge, illustrating the importance of efficiently sampling the key information. (C) 2019 Elsevier Ltd. All rights reserved.