Can names shape facial appearance?

心理学 相似性(几何) 面子(社会学概念) 原型(UML) 匹配(统计) 发展心理学 面部表情 社会范畴 认知心理学 社会心理学 沟通 语言学 人工智能 计算机科学 图像(数学) 医学 病理 哲学
作者
Yonat Zwebner,Moses Miller,Noa Grobgeld,Jacob Goldenberg,Ruth Mayo
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [Proceedings of the National Academy of Sciences]
卷期号:121 (30) 被引量:3
标识
DOI:10.1073/pnas.2405334121
摘要

Our given name is a social tag associated with us early in life. This study investigates the possibility of a self-fulfilling prophecy effect wherein individuals’ facial appearance develops over time to resemble the social stereotypes associated with given names. Leveraging the face–name matching effect, which demonstrates an ability to match adults’ names to their faces, we hypothesized that individuals would resemble their social stereotype (name) in adulthood but not in childhood. To test this hypothesis, children and adults were asked to match faces and names of children and adults. Results revealed that both adults and children correctly matched adult faces to their corresponding names, significantly above the chance level. However, when it came to children’s faces and names, participants were unable to make accurate associations. Complementing our lab studies, we employed a machine-learning framework to process facial image data and found that facial representations of adults with the same name were more similar to each other than to those of adults with different names. This pattern of similarity was absent among the facial representations of children, thereby strengthening the case for the self-fulfilling prophecy hypothesis. Furthermore, the face–name matching effect was evident for adults but not for children’s faces that were artificially aged to resemble adults, supporting the conjectured role of social development in this effect. Together, these findings suggest that even our facial appearance can be influenced by a social factor such as our name, confirming the potent impact of social expectations.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
建议保存本图,每天支付宝扫一扫(相册选取)领红包
实时播报
2秒前
冯潮生发布了新的文献求助10
3秒前
爆炒鱼丸发布了新的文献求助10
3秒前
Robin95完成签到 ,获得积分10
3秒前
等待的夜香完成签到,获得积分10
4秒前
5秒前
思源应助合适夜柳采纳,获得10
6秒前
无极微光应助Arrebol采纳,获得20
7秒前
7秒前
8秒前
8秒前
cherryfa完成签到,获得积分10
9秒前
10秒前
10秒前
10秒前
彭于晏应助Anna采纳,获得10
11秒前
小满关注了科研通微信公众号
11秒前
13秒前
李庭福发布了新的文献求助30
14秒前
杏杏发布了新的文献求助10
14秒前
桐桐应助渣兔采纳,获得10
14秒前
15秒前
四月发布了新的文献求助30
16秒前
椰香小汤圆完成签到,获得积分10
16秒前
文艺雪糕发布了新的文献求助10
18秒前
王锦鹏发布了新的文献求助10
18秒前
量子星尘发布了新的文献求助10
18秒前
19秒前
20秒前
快乐的小蘑菇完成签到 ,获得积分10
20秒前
杏杏完成签到,获得积分10
21秒前
打打应助克里斯就是逊啦采纳,获得10
22秒前
Harrison发布了新的文献求助10
22秒前
李爱国应助爆炒鱼丸采纳,获得10
22秒前
Propitious完成签到 ,获得积分10
22秒前
23秒前
23秒前
笨笨黄蜂完成签到,获得积分10
24秒前
elina完成签到,获得积分20
24秒前
钱璐璐完成签到 ,获得积分10
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1041
Mentoring for Wellbeing in Schools 1000
Binary Alloy Phase Diagrams, 2nd Edition 600
Atlas of Liver Pathology: A Pattern-Based Approach 500
A Technologist’s Guide to Performing Sleep Studies 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5493054
求助须知:如何正确求助?哪些是违规求助? 4590959
关于积分的说明 14433133
捐赠科研通 4523660
什么是DOI,文献DOI怎么找? 2478443
邀请新用户注册赠送积分活动 1463458
关于科研通互助平台的介绍 1436118