发现遮挡人脸心理重建反而更丑，推翻吸引力偏见假设。
Revealing an Unattractivity Bias in Mental Reconstruction of Occluded Faces using Generative Image Models
- 用扩散模型生成遮挡部分，测试心理重建机制
- 实验显示重建结果反而更不吸引人，存在丑化偏差
- 适合关注认知心理学与生成模型交互的研究者
先前研究表明，部分遮挡的脸看起来更吸引人，但原因不明。一种解释是大脑在心理上重建被遮挡面部时会偏向更美的形象，这已在吸引力评分任务中得到支持。我们通过延迟匹配样本任务直接检验这一假设，利用先进的基于扩散的图像生成器，向被试呈现由合成图像构成的不吸引人、中性或吸引人的遮挡部位重建结果。在两次在线实验中，结果未支持初始假设，反而揭示出对遮挡脸的丑化偏差。这表明吸引力评分任务并未引发美化重建；相反，吸引力偏见可能源于整体图像特征，而真实的心理重建可能带有不吸引人的特性。
原文摘要 · Abstract (English)
Previous studies have shown that faces are rated as more attractive when they are partially occluded. The cause of this observation remains unclear. One explanation is a mental reconstruction of the occluded face parts which is biased towards a more attractive percept as shown in face-attractiveness rating tasks. We aimed to test for this hypothesis by using a delayed matching-to-sample task, which directly requires mental reconstruction. In two online experiments, we presented observers with unattractive, neutral or attractive synthetic reconstructions of the occluded face parts using a state-of-the-art diffusion-based image generator. Our experiments do not support the initial hypothesis and reveal an unattractiveness bias for occluded faces instead. This suggests that facial attractiveness rating tasks do not prompt reconstructions. Rather, the attractivity bias may arise from global image features, and faces may actually be reconstructed with unattractive properties when mental reconstruction is applied.
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