Ficco Linda, Ramon Meike, Schroeger Anna, Kaufmann Jürgen M, Schweinberger Stefan R
Department of General Psychology and Cognitive Neuroscience, Friedrich Schiller University, Jena, Germany.
Faculty of Social and Political Sciences, Institute of Psychology, University of Lausanne, Lausanne, Switzerland.
R Soc Open Sci. 2025 Jan 22;12(1):240879. doi: 10.1098/rsos.240879. eCollection 2025 Jan.
Individuals can strongly vary in their ability to process face identity. Understanding the mechanisms driving these differences is important for theoretical development, and in clinical and applied contexts. Here we investigate the role of face-space properties in relation to individual face identity processing skills. We consider two fundamental properties of face-space: (how distant from each other similar faces are located in such space) and (the degree to which these distances change over time). Fifty-two participants performed a face detection task, with faces systematically varying in their location in face-space, and a comprehensive face identity processing test battery. We replicate previous results indicating a detection advantage for typical, as compared with distinctive faces. Critically, we find that neither our measure of face-space expansion nor that of face-space adaptability are related to individual face processing abilities. While future studies might benefit from the use of more sensitive measures of face-space properties, these results suggest that the two examined here do not contribute to individual differences in face processing abilities as previous studies suggest.
个体在处理面部识别的能力上差异很大。理解驱动这些差异的机制对于理论发展以及临床和应用场景都很重要。在此,我们研究面部空间属性与个体面部识别处理技能之间的关系。我们考虑面部空间的两个基本属性:(相似面孔在该空间中的位置彼此相距多远)和(这些距离随时间变化的程度)。52名参与者执行了一项面部检测任务,其中面部在面部空间中的位置系统地变化,以及一套全面的面部识别处理测试。我们重复了先前的结果,表明与独特面孔相比,典型面孔具有检测优势。关键的是,我们发现我们对面部空间扩展的测量以及面部空间适应性的测量都与个体面部处理能力无关。虽然未来的研究可能会受益于使用更敏感的面部空间属性测量方法,但这些结果表明,这里所研究的两个属性并不像先前研究表明的那样导致面部处理能力的个体差异。