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Evaluating the contribution of shape attributes to recognition using the minimal transient discrete cue protocol

机译:使用最小瞬态离散提示协议评估形状属性对识别的贡献

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Subjects were tested for their ability to identify objects that were represented by an array of dots that marked the major contours, usually only the outer boundary. Each dot was briefly flashed to make its position known, and a major variable was the time interval that was required to flash all the dots for a given shape. Recognition declined as the total time for display of the dot inventory was increased. Each shape was shown to a given subject only once and it was either recognized -- named – or not. Although the recorded response was binary, a large number of subjects was tested, which made it possible to derive regression functions and thus specify an intercept and slope for each shape. Shapes differed substantially in their slopes, which is likely due to the amount of redundant information provided by neighboring dots. Indices of shape attributes were also derived, specifically Attneave’s indices of complexity, mean curvature, inflection count, and symmetry. Three of the four shape attributes were significantly related to intercept and slope levels, but none made a substantial contribution. This suggests that these attributes are not essential properties that define shapes and allow for recognition.
机译:测试对象的能力是识别由标记主要轮廓(通常仅是外部边界)的点阵表示的对象。简短地闪烁每个点以使其位置已知,一个主要变量是给定形状闪烁所有点所需的时间间隔。随着点库存显示的总时间增加,识别度下降。每个形状只显示给定主题一次,或者被识别(命名)或未被识别。尽管记录的响应是二进制的,但测试了大量对象,这使得可以推导回归函数,从而为每种形状指定截距和斜率。形状的斜率实质上不同,这很可能是由于相邻点提供的冗余信息量所致。还可以得出形状属性的指标,特别是Attneave的复杂性,平均曲率,屈曲次数和对称性指标。四个形状属性中的三个与截距和坡度水平显着相关,但没有一个做出了实质性贡献。这表明这些属性不是定义形状并允许识别的基本属性。

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