Department of General Psychology, Friedrich Schiller University of Jena, Jena, Germany; Faculty for Rehabilitation Sciences, TU Dortmund, Dortmund, Germany.
Department of General Psychology, Friedrich Schiller University of Jena, Jena, Germany; Department of Counseling and Clinical Intervention, Friedrich Schiller University of Jena, Jena, Germany.
Neuropsychologia. 2022 Jan 28;165:108133. doi: 10.1016/j.neuropsychologia.2021.108133. Epub 2021 Dec 28.
Recent research suggested disproportional usage of shape information by people with poor face recognition, although texture information appears to be more important for familiar face recognition. Here, we tested a training program with faces that were selectively caricatured in either shape or texture parameters. Forty-eight young adults with poor face recognition skills (1 SD below the mean in at least 2/3 face processing tests: CFMT, GFMT, BFFT) were pseudo-randomly assigned to either one of two training groups or a control group (n = 16 each). Training comprised six sessions over three weeks. Per session, participants studied ten unfamiliar facial identities whose shape or texture characteristics were caricatured. Before and after training (or waiting in the control group), all participants completed EEG experiments on face learning and famous face recognition, and behavioral face processing tests. Results showed small but specific training-induced improvements: Whereas shape training improved face matching (training tasks, and to some extent GFMT), texture training elicited marked improvements in face learning (CFMT). Moreover, for the texture training group the N170 ERP was enhanced for novel faces post-training, suggesting training-induced changes in early markers of face processing. Although further research is necessary, this suggests that parameter-specific caricature training is a promising way to improve performance in people with poor face recognition skills.
最近的研究表明,人脸识别能力较差的人会不成比例地使用形状信息,尽管纹理信息似乎对面部熟悉度的识别更为重要。在这里,我们测试了一个针对选择性地在形状或纹理参数中进行夸张的人脸的训练计划。48 名人脸识别能力较差的年轻人(至少在 2/3 的面部处理测试中,平均值以下 1 个标准差:CFMT、GFMT、BFFT)被随机分配到两个训练组或对照组(每组 16 人)。训练包括三个星期的六次课程。每次课程中,参与者都会学习十个陌生的面部身份,其形状或纹理特征被夸张化。在训练之前和之后(或在对照组中等待),所有参与者都完成了面部学习和著名面部识别的 EEG 实验,以及行为面部处理测试。结果表明,虽然很小,但有具体的训练诱导的改进:形状训练提高了面部匹配(训练任务,在一定程度上也提高了 GFMT),而纹理训练对面部学习产生了显著的改善(CFMT)。此外,对于纹理训练组,N170 ERP 在训练后对新面孔增强,表明训练引起了面部处理早期标志物的变化。尽管还需要进一步的研究,但这表明针对参数特定的夸张训练是提高人脸识别能力较差的人的表现的一种有前途的方法。