Firestone Chaz, Keil Frank C
Department of Psychology, Yale University.
J Exp Psychol Gen. 2016 Jul;145(7):872-81. doi: 10.1037/xge0000151.
In a brief glance at an object or shape, we can appreciate a rich suite of its functional properties, including the organization of the object's parts, its optimal contact points for grasping, and its center of mass, or balancing point. However, in the real world and the laboratory, balance perception shows systematic biases whereby observers may misjudge a shape's center of mass by a severe margin. Are such biases simply quirks of physical reasoning? Or might they instead reflect more fundamental principles of object representation? Here we demonstrate systematically biased center-of-mass estimation for two-dimensional (2D) shapes (Study 1) and advance a surprising explanation of such biases. We suggest that the mind implicitly represents ordinary 2D shapes as rich, volumetric, three-dimensional (3D) objects, and that these "inflated" shape representations intrude on and bias perception of the 2D shape's geometric properties. Such "inflation" is a computer-graphics technique for segmenting shapes into parts, and we show that a model derived from this technique best accounts for the biases in center-of-mass estimation in Study 1. Further supporting this account, we show that reducing the need for inflated shape representations diminishes such biases: Center-of-mass estimation improved when cues to shapehood were attenuated (Study 2) and when shapes' depths were explicitly depicted using real-life objects laser-cut from wood (Study 3). We suggest that the technique of shape inflation is actually implemented in the mind; thus, biases in our impressions of balance reflect a more general functional characteristic of object perception. (PsycINFO Database Record
在短暂瞥一眼某个物体或形状时,我们能够领会其一系列丰富的功能属性,包括物体各部分的组织方式、抓取时的最佳接触点以及其质心或平衡点。然而,在现实世界和实验室中,平衡感知存在系统性偏差,观察者可能会严重误判形状的质心。这些偏差仅仅是物理推理中的怪癖吗?还是它们可能反而反映了物体表征的更基本原理?在这里,我们系统地证明了二维(2D)形状的质心估计存在偏差(研究1),并对这种偏差提出了一个惊人的解释。我们认为,大脑会将普通的二维形状隐含地表征为丰富的、具有体积的三维(3D)物体,并且这些“膨胀”的形状表征会干扰并影响对二维形状几何属性的感知。这种“膨胀”是一种计算机图形技术,用于将形状分割成各个部分,我们表明,从该技术衍生出的一个模型最能解释研究1中质心估计的偏差。进一步支持这一观点的是,我们表明减少对膨胀形状表征的需求会减少此类偏差:当形状线索减弱时(研究2)以及当使用从木材上激光切割的真实物体明确描绘形状的深度时(研究3),质心估计得到了改善。我们认为,形状膨胀技术实际上在大脑中得以实现;因此,我们平衡印象中的偏差反映了物体感知的一个更普遍功能特征。(PsycINFO数据库记录)