Title |
A Review and Clarification of the Terms “holistic,” “configural,” and “relational” in the Face Perception Literature
|
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Published in |
Frontiers in Psychology, January 2012
|
DOI | 10.3389/fpsyg.2012.00559 |
Pubmed ID | |
Authors |
Daniel W. Piepers, Rachel A. Robbins |
Abstract |
It is widely agreed that the human face is processed differently from other objects. However there is a lack of consensus on what is meant by a wide array of terms used to describe this "special" face processing (e.g., holistic and configural) and the perceptually relevant information within a face (e.g., relational properties and configuration). This paper will review existing models of holistic/configural processing, discuss how they differ from one another conceptually, and review the wide variety of measures used to tap into these concepts. In general we favor a model where holistic processing of a face includes some or all of the interrelations between features and has separate coding for features. However, some aspects of the model remain unclear. We propose the use of moving faces as a way of clarifying what types of information are included in the holistic representation of a face. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 17% |
Japan | 1 | 17% |
Switzerland | 1 | 17% |
United Kingdom | 1 | 17% |
Canada | 1 | 17% |
Unknown | 1 | 17% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 4 | 67% |
Members of the public | 2 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 1% |
Canada | 1 | <1% |
Germany | 1 | <1% |
China | 1 | <1% |
Serbia | 1 | <1% |
Unknown | 290 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 81 | 27% |
Student > Master | 47 | 16% |
Student > Bachelor | 37 | 12% |
Researcher | 30 | 10% |
Professor > Associate Professor | 14 | 5% |
Other | 48 | 16% |
Unknown | 41 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 169 | 57% |
Neuroscience | 32 | 11% |
Agricultural and Biological Sciences | 15 | 5% |
Medicine and Dentistry | 8 | 3% |
Computer Science | 2 | <1% |
Other | 17 | 6% |
Unknown | 55 | 18% |