Altering Object Representations Through Category Learning

Altering Object Representations Through Category Learning (2001)

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by Robert L. Goldstone , Yvonne Lippa , Richard M. Shiffrin

Venue:	COGNITION
Citations:	30 - 5 self

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Datum	Value	Source
TITLE	Altering Object Representations Through Category Learning	user correction
AUTHOR NAME	Robert L. Goldstone	user correction
AUTHOR AFFIL	Indiana University	user correction
AUTHOR ADDR	Bloomington, IN 47405, USA	user correction
AUTHOR NAME	Yvonne Lippa	user correction
AUTHOR NAME	Richard M. Shiffrin	user correction
AUTHOR AFFIL	Indiana University	user correction
AUTHOR ADDR	Bloomington, IN 47405, USA	user correction
ABSTRACT	Previous research has shown that objects that are grouped together in the same category become more similar to each other and that objects that are grouped in different categories become increasingly dissimilar, as measured by similarity ratings and psychophysical discriminations. These ndings are consistent with two theories of the inuence of concept learning on similarity. By a Strategic Judgment Bias account, the categories associated with objects are explicitly used as cues for determining similarity, and objects that are categorized together are judged to be more similar because similarity is not only a function of the objects themselves, but also the objects' category labels. By a Changed Object Description account, category learning alters the description of the objects themselves, emphasizing properties that are relevant for categorization. A new method for distinguishing between these accounts is introduced which measures the difference between the similarity ratings of categorized objects to a neutral object. The results indicate both strategic biases based on category labels and genuine representational change, with the strategic bias affecting mostly objects belonging to different categories and the representational change affecting mostly objects belonging to the same category.	user correction
YEAR	2001	user correction
VENUE	COGNITION	user correction
VOLUME	78	user correction
CITATIONS	38 found	ParsCit 1.0