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Tracking mouse movement in feature inference: category labels are different from feature labels.

作者信息

Yamauchi Takashm, Kohn Nicholas, Yu Na-Yung

机构信息

Department of Psychology, Texas A&M University, College Station, Texas 77843, USA.

出版信息

Mem Cognit. 2007 Jul;35(5):852-63. doi: 10.3758/bf03193460.

DOI:10.3758/bf03193460
PMID:17910171
Abstract

In this article, we examine the role of category labels in inductive inference. Some leading research has suggested that information about category membership works just like any other feature in categorical inductions, whereas other research has proposed that the influence of category membership on induction goes beyond that of other features. To investigate these claims further, we developed an online measure of judgments that is akin to eyetracking. The judgment results and the mouse-tracking data jointly support the view that category labels do affect inductive inferences in a way distinct from that for feature information. When arbitrary labels conveyed category membership information, participants viewed these labels more often and earlier in a trial, in comparison with cases in which the same labels conveyed non-membership information. Our results suggest that category membership information works like a guide for inference. An ecological rationale for this induction strategy is also discussed.

摘要

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本文引用的文献

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2
Thirty-something categorization results explained: selective attention, eyetracking, and models of category learning.三十多岁年龄段分类结果解析:选择性注意、眼动追踪与类别学习模型
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