面部表情对通用信任指标的影响
Blaine G Robbins1, Maria S Grigoryeva2
1Division of Social Science, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, United Arab Emirates. bgr3@nyu.edu.
Scientific reports
|August 8, 2024
概括
面部外观的变化对使用面部的通用信任测量影响最小. 这项研究证实了新的信任测量工具的可靠性,即使有多样化或人工智能生成的面孔.
科学领域:
- 社会心理学 社会心理学
- 行为经济学是一种行为经济学.
- 心理测量 心理测量 心理测量
背景情况:
- 一般化的信任与经济,政治和社会结果有关.
- 测量通用信任是有争议的,最近的方法使用面孔和信任领域.
- 面部外观的变化可能会影响信任感知和测量有效性.
研究的目的:
- 调查面部异质性是否影响新通用信任测量仪器的心理特征.
- 评估各种人类和人工智能合成的面部外表对信任评级的影响.
- 在不同的面部刺激下评估信任测量的测量有效性和等效性.
主要方法:
- 一个大规模的调查实验 (n=5001) 与美国成年人.
- 随机分配给五个不同的条件,人类和人工智能合成的面部特征.
- 受访者在四个信任领域对面部进行了评价,评估了心理特征.
主要成果:
- 面部异质性对测量有效性和等效性影响微不足道.
- 在特定的面部和心理测试中观察到微小的差异.
- 在信任评估中,人工智能合成的面部表现与人类面部相似.
结论:
- 使用面部测量普遍信任的新仪器对面部外观变化具有强大耐受性.
- 人工智能合成的面孔是社会科学研究信任的一个可行的工具.
- 面部异质性不会显著地影响一般信任的测量.
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