Add to ORKGThe category variability effect is referred to as that the middle item between two categories is more similar to the low-variability category but tends to be classified as the high-variability category, which challenges the exemplar model. We however hypothesized that this effect can result from the use of the single-category strategy in a binary categorization task, specifically when only the low-variability category is referenced for categorization. One experiment was conducted with a recognition task inserted in the categorization task to selectively deepen the processing for the exemplars of the high-variability category, low-variability category, or both categories. The results showed that the strongest category variability effect occu...
A contrast category effect on categorization occurs when the decision to apply a category term to an...
Prototype and exemplar models form two extremes in a class of mixture model accounts of human catego...
International audienceCategorization research has demonstrated the use of both rules and remembered ...
Exemplar and distributional accounts of categorization make differing predictions for the classifica...
The category variability effect refers to that people tend to classify the midpoint item between two...
The issue of how category variability affects classification of novel instances is an important one ...
Two aspects of variation within categories, relating to different models of categorization, were inv...
Learning to categorize objects involves learning which sources of variability are meaningful and whi...
The ability to learn categories and classify new items or experiences is an essential function for e...
Early theories of categorization assumed that either rules, or prototypes, or exemplars were exclusi...
It is commonly believed that exemplar models have difficulty accounting for more accurate classifica...
Analysis of the relative categorization accuracy of whole and partial items may provide deeper insig...
The multivariate theory of similarity discussed by Ennis (1988) entails the assumption that individu...
Increasing exemplar variability during category learning can enhance classification of novel exempla...
a b s t r a c t People are capable of imagining and generating new category exemplars and categories...
A contrast category effect on categorization occurs when the decision to apply a category term to an...
Prototype and exemplar models form two extremes in a class of mixture model accounts of human catego...
International audienceCategorization research has demonstrated the use of both rules and remembered ...
Exemplar and distributional accounts of categorization make differing predictions for the classifica...
The category variability effect refers to that people tend to classify the midpoint item between two...
The issue of how category variability affects classification of novel instances is an important one ...
Two aspects of variation within categories, relating to different models of categorization, were inv...
Learning to categorize objects involves learning which sources of variability are meaningful and whi...
The ability to learn categories and classify new items or experiences is an essential function for e...
Early theories of categorization assumed that either rules, or prototypes, or exemplars were exclusi...
It is commonly believed that exemplar models have difficulty accounting for more accurate classifica...
Analysis of the relative categorization accuracy of whole and partial items may provide deeper insig...
The multivariate theory of similarity discussed by Ennis (1988) entails the assumption that individu...
Increasing exemplar variability during category learning can enhance classification of novel exempla...
a b s t r a c t People are capable of imagining and generating new category exemplars and categories...
A contrast category effect on categorization occurs when the decision to apply a category term to an...
Prototype and exemplar models form two extremes in a class of mixture model accounts of human catego...
International audienceCategorization research has demonstrated the use of both rules and remembered ...