Abstract:
Face recognition benefits from associating social information to faces during learning. This has been demonstrated by better recognition for faces that underwent social than perceptual evaluations. Two hypotheses were proposed to account for this effect. According to the feature-elaboration hypothesis, social-evaluations encourage elaborated processing of perceptual information from faces (Winograd, 1981). According to a social-representation hypothesis, social-evaluations convert faces from a perceptual representation to a socially meaningful representation of a person. To decide between these two hypotheses, we ran a functional MRI study in which we functionally localized the posterior face-selective brain areas and social processing brain areas. Participants watched video-clips of young adults and were asked to study them for a recognition test, while making either perceptual evaluations or social evaluations about them. During the fMRI scan, participants performed an old/new recognition test. Behavioural findings replicated better recognition for faces that underwent social then perceptual evaluations. fMRI results showed higher response during the recognition phase for the faces that were learned socially than perceptually, in the social-brain network but not in posterior face-selective network. These results support the social-representation hypothesis and highlight the important role that social processing mechanisms, rather than purely perceptual processes, play in face recognition.
摘要:
面部识别受益于在学习期间将社交信息与面部相关联。这已经通过对经历社交的面孔比感知评估更好的识别来证明。提出了两个假设来解释这种影响。根据特征细化假设,社会评价鼓励对面部感知信息的精细处理(Winograd,1981).根据社会代表性假设,社会评价将面孔从一个人的感知表现转变为一个社会有意义的表现。要在这两个假设之间做出决定,我们进行了一项功能性MRI研究,其中我们在功能上定位了后面部选择性脑区和社会处理脑区.参与者观看了年轻人的视频剪辑,并被要求对其进行识别测试。同时对他们进行感性评价或社会评价。在功能磁共振成像扫描期间,参与者进行了旧/新的识别测试。行为发现可以更好地识别经过社交评估的面孔,而不是感知评估。fMRI结果显示,在识别阶段,社交学习的面部比感知学习的面部有更高的反应,在社交大脑网络中,而不是在后脸选择网络中。这些结果支持社会代表性假设,并强调了社会加工机制的重要作用,而不是纯粹的感知过程,发挥在面部识别。