Department of Psychology, Humboldt Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany; Bernstein Center for Computational Neuroscience Berlin, Philippstraße 13 Haus 6, 10115 Berlin, Germany; Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Luisenstraße 56, 10115 Berlin, Germany.
Department of Psychology, Humboldt Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany; Bernstein Center for Computational Neuroscience Berlin, Philippstraße 13 Haus 6, 10115 Berlin, Germany; Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Luisenstraße 56, 10115 Berlin, Germany; Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany.
Cognition. 2022 Aug;225:105155. doi: 10.1016/j.cognition.2022.105155. Epub 2022 May 7.
As humans we communicate important information through fine nuances in our facial expressions, but because conscious motor representations are noisy, we might not be able to report these fine movements. Here we measured the precision of the explicit metacognitive information that young adults have about their own facial expressions. Participants imitated pictures of themselves making facial expressions and triggered a camera to take a picture of them while doing so. They then rated how well they thought they imitated each expression. We defined metacognitive access to facial expressions as the relationship between objective performance (how well the two pictures matched) and subjective performance ratings. As a group, participants' metacognitive confidence ratings were only about four times less precise than their own similarity ratings. In turn, machine learning analyses revealed that participants' performance ratings were based on idiosyncratic subsets of features. We conclude that metacognitive access to one's own facial expressions is only partial.
作为人类，我们通过面部表情的细微差别来传达重要信息，但由于有意识的运动表现存在噪音，我们可能无法报告这些细微的动作。在这里，我们测量了年轻人对自己面部表情的明确元认知信息的精确程度。参与者模仿自己的面部表情图片，并触发相机在他们这样做时拍摄他们的照片。然后，他们对自己认为模仿每个表情的程度进行评分。我们将面部表情的元认知访问定义为客观表现（两张图片匹配的程度）和主观表现评分之间的关系。作为一个群体，参与者的元认知信心评分仅比他们自己的相似性评分低约四倍。反过来，机器学习分析显示，参与者的表现评分基于特征的独特子集。我们的结论是，对自己面部表情的元认知访问是不完全的。
