多伦多种族多样化面部数据库:一个多方面的刺激集
Menahal Latif1, Nicole Sugden1, Maire L O'Hagan1
1Department of Psychology, Toronto Metropolitan University, Toronto, ON, Canada.
Frontiers in psychology
|May 22, 2025
概括
多伦多种族多样化 (TED) 面部数据库提供271个不同的成年模型进行研究. 这种开放访问资源增强了对各种种族面部感知,认知和情绪的研究.
科学领域:
- 心理学 心理学 心理学
- 神经成像是一种神经成像.
- 计算机视觉 计算机视觉
背景情况:
- 现有的面部数据库往往缺乏种族和情感多样性,限制了研究范围.
- 多种面部刺激对于对感知,认知,社会和情感过程的公正调查至关重要.
- 解决这些局限性有助于研究种族对人类感知的影响.
研究的目的:
- 介绍多伦多种族多样化 (TED) 面部数据库.
- 为心理学和神经成像研究提供一个开放的资源,包含各种各样的成人模型.
- 促进对代表性不足的群体的研究和广泛的面部知觉研究.
主要方法:
- 编制了一个数据库,包含271个独特的成年模型,代表不同的种族 (白人,黑人,东亚人,南亚人,东南亚人,中东人,多种族人,土著人).
- 包括姿势的变化,目光的方向和三个情感表达 (中立,开口快乐,闭口快乐).
- 收集的验证数据评估了情绪表达的准确性,评价者之间的可靠性,强度和真实性.
主要成果:
- 在TED数据库中,有271个具有不同种族背景和人口代表性的模型.
- 验证数据证实了在判断情绪表达时的高inter-rater可靠性和准确性.
- 刺激在传达预期的情绪方面表现出高准确性,并提供强度和真实性的评级.
结论:
- 多伦多种族多样化 (TED) 面部数据库是研究人员的有价值的开放访问资源.
- 它的多样性减轻了偏见,并使得对种族对面部感知影响的新研究成为可能.
- 该数据库支持心理学,神经成像和社会科学领域的广泛研究应用.
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