In Andy Calder, Gillian Rhodes, Mark Johnson & Jim Haxby (eds.), Oxford Handbook of Face Perception. Oxford University Press (2011)

This article reviews recent investigations of three familiar naturalistic contexts in which facial expressions are frequently encountered: whole bodies, natural scenes, and emotional voices. It briefly reviews recent evidence that shifts the emphasis from a categorical model of face processing, based on the assumption that faces are processed as a distinct object category with their dedicated perceptual and neurofunctional basis, towards more distributed models where different aspects of faces are processed by different brain areas and different perceptual routines and shows how these models are better suited to represent face perception and face-context effects. This study details one kind of context effect, which is found in investigations of interactions between facial and bodily expressions. It sketches a perspective in which context plays a crucial role, even for highly automated processes like the ones underlying recognition of facial expressions. Some recent evidence of context effects also has implications for current theories of face perception and its deficits.
Keywords No keywords specified (fix it)
Categories (categorize this paper)
Reprint years 2012
Buy the book Find it on
DOI 10.1093/oxfordhb/9780199559053.013.0027
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy

Upload a copy of this paper     Check publisher's policy     Papers currently archived: 58,256
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

No references found.

Add more references

Citations of this work BETA

Add more citations

Similar books and articles


Added to PP index

Total views
31 ( #336,876 of 2,419,621 )

Recent downloads (6 months)
1 ( #542,199 of 2,419,621 )

How can I increase my downloads?


My notes