Two Approaches to Category Representation in Aural Classification.
CATHOLIC UNIV OF AMERICA WASHINGTON D C HUMAN PERFORMANCE LAB
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The classification model proposed by Howard, Ballas and Burgy 1978 assumes that each category in a classification task is represented by an abstract prototype. Neumann 1977 argues that the evidence for prototype representations can be explained by the indeterminancy of examplar attributes. A test of these two models would require that attribute indeterminancy be measured. In a classification task, attribute indeterminancy can lead to overlapping category boundaries. In turn, this results in confusions, which can then be a measure of indeterminancy. An aural classification experiment was conducted where listeners classified sixteen amplitude-modulated noise patterns into one of four, four-examplar categories. Results of a post training recognition test indicated that an unexperienced prototype was rated as familiar, but this effect was reduced with increased practice with the category examplars. Neither the prototype nor Neumanns model was supported unequivocally. Classification results did demonstrate that the classification model is applicable to four examplar categories defined in two dimensions. Author
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