Classifying Values by Categories

Running Head: Classifying with Essentialized Categories Classifying with Essentialized Categories

A central tenet of modern categorization research is that real-world categories have no defining features, and that features are better thought of as probabilistically related to their category. Nevertheless, the belief in properties that are invariably associated with categories has persisted. One view— psychological essentialism—further states that essential properties and structures constrai...

Classifying with Essentialized Categories

Psychological essentialism states that certain categories are assumed to have an underlying hidden reality (or "essence") that defines objects’ identity (Gelman, 2003; Medin & Ortony, 1989). Everyday classification, on the other hand, must be based on the features of objects that are observable. How do we reconcile these facts? One way is to assume that essential features cause observable ones,...

Classifying handheld Augmented Reality: Three categories linked by spatial mappings

Handheld Augmented Reality (AR) relies on a spatial coupling of the on-screen content with the physical surrounding. To help the design of such systems and to classify existing AR systems, we present a framework made of three categories and two spatial relationships. Our framework highlights spatial relationships between the physical world, the representation of the physical world on screen and...

Classifying Faces by Race: The Structure of Face Categories

similarity relations among faces to unite a wide variety of effects including the CR classification advantage and the effects of facial typicality on recognition and classification. The second explanation for the CR classification advantage, the interference hypothesis, suggests that expertise-based configural coding interferes with coding race. Because configural Portions of this work were pre...

Classifying Text Documents by Associating Terms With Text Categories