类别使用的特征诊断效应

Effect of Feature Diagnosticity on Category Use

运用预备实验评定过的鱼轮廓图，考察了类别判断和特征预测这两种类别使用方式下的特征诊断效应。被试是48名大学生，学习材料是两类鱼的类别成员，在测验阶段，实验1判断新项目类别标签，实验4预测新项目的缺失特征。结果表明，类别判断条件下，单个特征诊断力加强和诊断性特征数量增加都对类别判断有促进作用；特征预测条件下，只有单个特征诊断力加强可以促进特征预测，诊断性特征数量增加无助于特征预测。

IntroductionCategory use mainly includes category judgment and feature prediction. The important issue is how people retrieve diagnostictiy information from feature that are distinct among different categories. Previous studies mostly investigated how the number of overlapped diagnosticity features influenced category learning. In order to reduce the variables， researchers commonly differentiate feature diagnosticity into 2 states， namely “none” and “all”. However， in natural situations， feature