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任务需求在种族面孔编码中的作用。

The role of task demands in racial face encoding.

机构信息

Department of Psychology, Sun Yat-Sen University, Guangzhou, 511400, China.

Faculty of Education, Henan University, Kaifeng, 475000, China.

出版信息

Sci Rep. 2022 Nov 7;12(1):18896. doi: 10.1038/s41598-022-19880-4.

Abstract

People more accurately remember faces of their own racial group compared to faces of other racial groups; this phenomenon is called the other-race effect. To date, numerous researchers have devoted themselves to exploring the reasons for this other-race effect, and they have posited several theoretical explanations. One integrated explanation is the categorization-individuation model, which addresses two primary ways (categorization and individuation) of racial face processing and emphasizes the emergence of these two ways during the encoding stage. Learning-recognition and racial categorization tasks are two classical tasks used to explore racial face processing. Event-related potentials can facilitate investigation of the encoding differences of own- and other-race faces under these two typical task demands. Unfortunately, to date, results have been mixed. In the current study, we investigated whether categorization and individuation differ for own- and other-race faces during the encoding stage by using racial categorization and learning-recognition tasks. We found that task demands not only influence the encoding of racial faces, but also have a more profound effect in the encoding stage of recognition tasks for other-race faces. More specifically, own-race faces demonstrate deeper structural encoding than other-race faces, with less attentional involvement. Moreover, recognitions tasks might ask for more individual-level encoding, requiring more attentional resources in the early stage that may be maintained until relatively late stages. Our results provide some evidence concerning task selection for future racial face studies and establish a groundwork for a unified interpretation of racial face encoding.

摘要

人们通常能更准确地记住自己种族的人脸,而不是其他种族的人脸;这种现象被称为异族效应。迄今为止,许多研究人员致力于探索这种异族效应的原因,并提出了几种理论解释。一种综合解释是分类-个体化模型,它涉及种族人脸处理的两种主要方式(分类和个体化),并强调这两种方式在编码阶段的出现。学习识别和种族分类任务是探索种族人脸处理的两种经典任务。事件相关电位(ERP)可以促进在这两种典型任务需求下对自身和异族面孔的编码差异的研究。不幸的是,到目前为止,结果喜忧参半。在当前的研究中,我们通过使用种族分类和学习识别任务,研究了在编码阶段,自身和异族面孔的分类和个体化是否存在差异。我们发现,任务需求不仅影响种族面孔的编码,而且对异族面孔的识别任务的编码阶段有更深远的影响。更具体地说,自身种族的面孔比异族种族的面孔具有更深层次的结构编码,涉及的注意力较少。此外,识别任务可能需要更多的个体水平的编码,在早期阶段需要更多的注意力资源,这些资源可能会持续到相对较晚的阶段。我们的研究结果为未来的种族面孔研究提供了一些关于任务选择的证据,并为种族面孔编码的统一解释奠定了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da9f/9640591/4c54785466c2/41598_2022_19880_Fig1_HTML.jpg

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