Influence of multiple categories on the prediction of unknown properties

Michael F. Verde, Gregory L. Murphy, Brian H. Ross

Research output: Contribution to journalArticle

Abstract

Knowing an item's category helps us predict its unknown properties. Previous studies suggest that when asked to evaluate the probability of an unknown property, people tend to consider only an item's most likely category, ignoring alternative categories. In the present study, property prediction took the form of either a probability rating or a speeded binary-choice judgment. In keeping with past findings, the subjects ignored alternative categories in their probability ratings. However, their binary-choice judgments were influenced by alternative categories. This novel finding suggests that the way in which category knowledge is used in prediction depends critically on the form of the prediction.

Original languageEnglish (US)
Pages (from-to)479-487
Number of pages9
JournalMemory and Cognition
Volume33
Issue number3
DOIs
StatePublished - 2005

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Experimental and Cognitive Psychology
  • Arts and Humanities (miscellaneous)

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