小柯机器人

全世界有16种面部表情出现在相似背景中
2020-12-18 21:25

美国加州大学伯克利分校Alan S. Cowen研究组取得一项新突破。他们的论文发现了全世界有16种面部表情出现在相似的背景中。相关论文发表在2020年12月16日出版的《自然》杂志上。

通过将机器学习方法应用于现实世界中的动态行为,他们可以确定自然主义的社交环境(例如婚礼或体育比赛)是否与跨不同文化的特定面部表情相关联。在两个使用深度神经网络的实验中,他们检查了来自144个国家/地区的600万个视频中数千种情况下16种类型的面部表情系统发生的程度。

他们发现,每种面部表情都与一组背景有独特的关联,这些背景在12个世界区域中保留了70%。与这些关联相一致,不同背景下面部表情最显著的结果是产生不同面部表情的频率各不相同。他们的结果揭示了在整个现代世界中保留下来的人类面部表情的细粒度模式。

据了解,了解人的面部表情与各种文化中特定社会背景的变化程度,对于情感能够对重要的挑战和机遇做出适应性反应至关重要。将社会背景与特定面部表情相关联的具体证据很少,并且很大程度上基于基于调查的方法,这些方法通常受到语言和小样本量的限制。

附:英文原文

Title: Sixteen facial expressions occur in similar contexts worldwide

Author: Alan S. Cowen, Dacher Keltner, Florian Schroff, Brendan Jou, Hartwig Adam, Gautam Prasad

Issue&Volume: 2020-12-16

Abstract: Understanding the degree to which human facial expressions co-vary with specific social contexts across cultures is central to the theory that emotions enable adaptive responses to important challenges and opportunities1,2,3,4,5,6. Concrete evidence linking social context to specific facial expressions is sparse and is largely based on survey-based approaches, which are often constrained by language and small sample sizes7,8,9,10,11,12,13. Here, by applying machine-learning methods to real-world, dynamic behaviour, we ascertain whether naturalistic social contexts (for example, weddings or sporting competitions) are associated with specific facial expressions14 across different cultures. In two experiments using deep neural networks, we examined the extent to which 16 types of facial expression occurred systematically in thousands of contexts in 6 million videos from 144 countries. We found that each kind of facial expression had distinct associations with a set of contexts that were 70% preserved across 12 world regions. Consistent with these associations, regions varied in how frequently different facial expressions were produced as a function of which contexts were most salient. Our results reveal fine-grained patterns in human facial expressions that are preserved across the modern world.

DOI: 10.1038/s41586-020-3037-7

Source: https://www.nature.com/articles/s41586-020-3037-7

Nature:《自然》,创刊于1869年。隶属于施普林格·自然出版集团,最新IF:69.504
官方网址:http://www.nature.com/
投稿链接:http://www.nature.com/authors/submit_manuscript.html


本期文章:《自然》:Online/在线发表

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