Suppr超能文献

FACES——一个包含年轻、中年和老年女性和男性面部表情的数据库:开发与验证。

FACES--a database of facial expressions in young, middle-aged, and older women and men: development and validation.

机构信息

Center for Lifespan Psychology, Max Planck Institute for Human Development, Lentzeallee 94, Berlin, Germany.

出版信息

Behav Res Methods. 2010 Feb;42(1):351-62. doi: 10.3758/BRM.42.1.351.

Abstract

Faces are widely used as stimuli in various research fields. Interest in emotion-related differences and age-associated changes in the processing of faces is growing. With the aim of systematically varying both expression and age of the face, we created FACES, a database comprising N = 171 naturalistic faces of young, middle-aged, and older women and men. Each face is represented with two sets of six facial expressions (neutrality, sadness, disgust, fear, anger, and happiness), resulting in 2,052 individual images. A total of N = 154 young, middle-aged, and older women and men rated the faces in terms of facial expression and perceived age. With its large age range of faces displaying different expressions, FACES is well suited for investigating developmental and other research questions on emotion, motivation, and cognition, as well as their interactions. Information on using FACES for research purposes can be found at http://faces.mpib-berlin.mpg.de.

摘要

面孔在各个研究领域中被广泛用作刺激物。人们对面部表情处理的情绪相关差异和年龄相关变化越来越感兴趣。为了系统地改变面孔的表情和年龄,我们创建了 FACES 数据库,其中包含 N = 171 张年轻、中年和老年女性和男性的自然主义面孔。每张面孔都有两组六个面部表情(中性、悲伤、厌恶、恐惧、愤怒和快乐),共产生 2052 张单独的图像。共有 N = 154 名年轻、中年和老年女性和男性对面孔的表情和感知年龄进行了评分。由于 FACES 具有很大的年龄范围和不同表情的面孔,因此非常适合研究情感、动机和认知方面的发展和其他研究问题,以及它们之间的相互作用。有关如何将 FACES 用于研究目的的信息,请访问 http://faces.mpib-berlin.mpg.de。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验