一个生成的老化面部图像存储库
Anna Pot1, Laura L Carstensen2
1Department of Psychology, Stanford University, Stanford, USA. annapot@stanford.edu.
Scientific data
|October 1, 2025
概括
研究人员创建了一个多样化的,人工智能生成的面部数据库,代表了三个生命阶段的个人. 这个资源克服了当前人感知研究的局限性,通过提供年龄规范的刺激来研究年龄比较.
科学领域:
- 认知心理学 认知心理学
- 社会心理学 社会心理学
- 计算机视觉 计算机视觉
- 人与计算机的交互
背景情况:
- 人的感知研究很大程度上依赖于面部刺激.
- 现有的面部数据库有限,过度代表年轻人,白人和年轻成年人.
- 这种偏见限制了个人感知研究中发现的概括性.
研究的目的:
- 开发一个开放式访问,多样化的数据库,跨越多个生命阶段的人工智能生成的面孔.
- 为心理学研究提供年龄规范和验证的面部刺激.
- 促进对年龄比较和对衰老的看法进行研究.
主要方法:
- 利用先进的生成算法,对62名年轻人进行数字年龄化.
- 保持特定身份特征,同时切实模拟与年龄相关的变化.
- 创建了一个包含 186 张图像的数据库,代表每个人的年轻,中年和老年阶段.
主要成果:
- 创建了一个新的,开放访问的数据库,包含186个人工智能创建的面部图像.
- 数据库中男性和女性在三个不同的年龄组中均有代表性.
- 所有图像都经过年龄规范和验证其真实性,确保研究实用性.
结论:
- 人工智能生成的面部数据库解决了当前人感知研究的关键局限性.
- 这个资源可以对年龄比较和对衰老的看法进行强有力的调查.
- 该数据库是行为科学中各种研究问题的宝贵工具.
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