不變和可變社會范疇加工對面孔身份識別的影響

1、學(xué)校代碼：10270 分類號： B84 學(xué)號：132200409碩 士 學(xué) 位 論 文不變和可變社會范疇加工對面孔身份識別的影響學(xué) 院 ： 教 育 學(xué) 院專 業(yè) ： 基 礎(chǔ) 心 理 學(xué)研 究 方 向 ： 社 會 認 知研究生姓名 ： 張 琴指 導(dǎo) 教 師 ： 王 沛 教 授完 成 日 期 ： 2 0 1 6 . 0 5 . 1 3Abstract Shanghai Normal University Master's Thesi

2、sIIAbstractFace identity recognition, distinguishing different persons from their faces, is vital forperceivers to adapt to different environments and interact with others in daily life.Meanwhile, in order to recognize a

3、nd understand others readily and accurately inlimited time and cognitive resources, social categorization is always applied tosimplify social cognition, namely, categorizing others according to social informationsuch as

4、gender, race, age and expression. As two important parts of social cognition,whether social categorization has effect on face identity recognition is the core issueof this paper. On the review of the former relevant theo

5、ries, functional facerecognition theory (Bruce distributed human neural system for faceperception (Haxby, Hoffman, however, theinvariable social categories, such as race and gender, have a profound effect onidentity re

6、cognition. On the other side, dynamic theory of face perception (Quinn Experiment 2 explored whether variable social categorization(expression categorization) has an influence on identity recognition; Experiment 3explor

7、ed the characteristics of face identity recognition when both invariable socialcategorization and variable social categorization occurred. All the three experimentsapplied Garner’s Selective Attention Paradigm. The resul

8、ts are as follows, 1)invariable social categorization facilitates face identity recognition. 2) Face identityrecognition is interfered from the variable social categorization. 3) The effect ofinvariable social categoriza

9、tion is much larger than the effect of variable socialcategorization on face identity recognition. The results demonstrate different types ofsocial categories have different influences on identity recognition.Key words: