Classification of exemplars with single- and multiple-feature manifestations: the effects of relevant dimension variation and category structure.
Classification of exemplars with single- and multiple-feature manifestations: the effects of relevant dimension variation and category structure.
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DOI：
10.1037//0278-7393.29.1.107
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
A. Markman;W. Maddox
中科院分区：
文献类型：
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作者：
A. Markman;W. Maddox
大多数分类研究集中在这样的情况下，即每个抽象特征无论何时呈现都具有相同的表面表现。先前的研究发现，当每个抽象特征有多种表面表现时，人们很难学习分类。这些研究通过改变与抽象特征维度无关的刺激的各个方面来创造多种表现。在这篇文章中，多种表现形式的刺激相关的抽象特征维度的不同方面创建。在心理学实验中，人们经常使用家族相似性的类别结构，当存在多种表现形式时，即使这些变化是相关的，人们也很难学习分类。当使用具有非诊断价值的家族相似性结构时，这种效应被逆转。
Most classification research focuses on cases in which each abstract feature has the same surface manifestation whenever it is presented. Previous research finds that people have difficulty learning to classify when each abstract feature has multiple surface manifestations. These studies created multiple manifestations by varying aspects of the stimuli irrelevant to the abstract feature dimension. In this article, multiple manifestations were created by varying aspects of the stimuli relevant to the abstract feature dimension. People given categories with the family resemblance category structure often used in psychology experiments had difficulty learning to classify when multiple manifestations were present, even though the variation was relevant. This effect was reversed when a family resemblance structure with nondiagnostic values was used.