Connectedness and part-relation integration in shape category learning
Connectedness and part-relation integration in shape category learning
复制标题
形状类别学习中的连通性和部分关系整合
作者：
J. Saiki;J. Hummel
我们研究了连接性在使用部分关系连词进行对象类别学习中的作用。参与者学习了由一部分的形状及其相对于另一部分的位置定义的两部分物体的类别（部分关系连词）。各部分（连接的、分离的或嵌入的）之间的拓扑关系因参与者而异，但对于任何给定的参与者都是不变的。在实验1中，当一个物体的各个部分连接在一起时，分类学习比它们分开或嵌入时更快、更准确。随后的实验表明，这种影响不是由于有意识的策略，个体属性的显著性差异，或刺激维度的完整性/可分离性差异。结果表明，在对象类别学习中，连通性影响了部分及其关系的整合。
We investigated the role of connectedness in the use of part-relation conjunctions for object category learning. Participants learned categories of two-part objects defined by the shape of one part and its location relative to the other (part-relation conjunctions). The topological relationship between the parts (connected, separated, or embedded) varied between participants but was invariant for any given participant. In Experiment 1, category learning was faster and more accurate when an object’s parts were connected than when they were either separated or embedded. Subsequent experiments showed that this effect is not due to conscious strategies, differences in the salience of the individual attributes, or differences in the integrality/separability of dimensions across stimuli. The results suggest that connectedness affects the integration of parts with their relations in object category learning.
DOI：
10.1037/0278-7393.22.1.169
发表时间：
1996-01-01
影响因子：
2.6
作者：
Knowlton, BJ;Squire, LR
通讯作者：
Squire, LR
影响因子：
4.1
作者：
NOSOFSKY, RM
通讯作者：
NOSOFSKY, RM
影响因子：
2
作者：
B. Knowlton;L. Squire;M. Gluck
通讯作者：
B. Knowlton;L. Squire;M. Gluck