Finally, Faces Find Favor

نویسنده

  • Leslie A. Zebrowitz
چکیده

Historical trends in face perception research during the past half century are summarized. The dual process model offered by cognitive neuroscientists to account for the perception of identity and emotion expression in the face is briefly reviewed together with supporting evidence. An ecological approach that incorporates missing pieces of face perception is offered as an additional, broader conceptual framework. It is argued that a comprehensive theory of face perception must account for the extraction from a facial image of all the attributes that are perceived (social category, identity, emotion, psychological and physical traits) as well as the interdependence of attributes as shown in moderating influences of one attribute on the perception of others. It also must specify the stimulus information that conveys each attribute, perceiver attunements that influence detection of each attribute, the development of these attunements, the neural mechanisms engaged in processing various attributes, and the behavioral consequences of face perception. Social, personality, and developmental psychologists are urged to join cognitive neuroscientists in filling in the missing pieces.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Face recognition: a general or specific right hemisphere capacity?

Face-recognition ability has been claimed to be qualitatively different from other pattern-recognition abilities. One argument for this claim is the finding of a significant right hemisphere advantage for the recognition of upright but not inverted faces. However, this argument is justified only if this orientation-sensitive pattern is unique to faces. In the present study, comparable patterns ...

متن کامل

Matching expression variant faces

Several models have been proposed that attempt to explain how the brain identifies people by looking at their faces. However, to date, it is still not clear by which mechanism the brain successfully accomplishes the matching of two or more face images when differences in facial expression make the (local and global) appearance of these images different from one another. There seems to be a cons...

متن کامل

Simulating the 'other-race' effect with autoassociative neural networks: further evidence in favor of the face-space model.

Other-race (OR) faces are less accurately recognized than same-race (SR) faces, but faster classified by race. This phenomenon has often been reported as the 'other-race' effect (ORE). Valentine (1991 Quarterly Journal of Experimental Psychology A: Human Experimental Psychology 43 161-204) proposed a theoretical multidimensional face-space model that explained both of these results, in terms of...

متن کامل

Fuzzy-C-Mean Determines the Principle Component Pairs to Estimate the Degree of Emotion from Facial Expressions

Although many systems exist for automatic classification of faces according to their emotional expression, these systems do not explicitly estimate the strength of given expressions. This paper describes and empirically evaluates an algorithm capable of estimating the degree to which a face expresses a given emotion. The system first aligns and normalizes an input face image, then applies a fil...

متن کامل

When Unfamiliarity Matters: Changing Environmental Context Between Study and Test Affects Recognition Memory for Unfamiliar Stimuli

Performance in recognition memory has been shown to be relatively insensitive to the effect of environmental context changes between study and test. Recent evidence (P. Dalton, 1993) showed that environmental context changes between study and test affected recognition memory discrimination for unfamiliar stimuli (faces). The present study presented 2 experiments that replicated this finding, re...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2006