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首页> 外文期刊>Journal of vision >Aging Faces and Aging Perceivers: Are There Developmental Changes in Face Space Later in Life?
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Aging Faces and Aging Perceivers: Are There Developmental Changes in Face Space Later in Life?

机译:变老的面孔和老龄化的感知者:生活后期的面孔空间会发生发展变化吗?

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Adults' expertise in face processing has been attributed to norm-based coding, a representation that develops during childhood and may be optimized for own-age faces (Macchi Cassia et al., 2009). Here, we examined how young and older adult faces are represented in face space and the extent to which aftereffects transfer across age and sex categories. In Experiment 1, 16 young (18-26 years) and 16 older adults (62-82 years) were adapted to compressed female older adult faces. Before and after adaptation, they indicated which member of ?±10% same-identity face pairs looked more normal; participants judged male and female young and older adult faces. Older adults demonstrated smaller aftereffects than young adults, p .05, but the magnitude of aftereffects did not differ across age and sex categories for either age group (i.e., were not largest for female older adult faces), p .10. In Experiment 2, we examined whether sensitivity to differences in ?±10% face pairs varies as a function of participant age and/or face age. Young and older adults (n = 16 per group) were shown ?±10%, ?±20%, and ?±30% same-identity face pairs and indicated which face in each pair appeared more expanded. Accuracy was 75% in all conditions and did not differ with face age. Young adults were more accurate than older adults, but only for ?±10% pairs, p .01. Participants also rated the normality of young and older adult faces that ranged from +60% expanded to -60% compressed in 10% increments. Overall, older adults were less sensitive than young adults, p .001, and both groups demonstrated slightly greater sensitivity to distortions in young faces, p .05. Collectively, these results suggest that the dimensions underlying norm-based coding are most refined for young adult faces and that sensitivity to these dimensions declines in older adults.
机译:成人在面部处理方面的专业知识归功于基于规范的编码,这种编码在儿童时期就发展起来,并可能针对自有年龄的面部进行了优化(Macchi Cassia等,2009)。在这里,我们研究了年轻人和老年人面孔在面部空间中的代表方式以及后效应在不同年龄和性别类别之间转移的程度。在实验1中,将16位年轻人(18-26岁)和16位老年人(62-82岁)改编为压缩的女性老年人面孔。在适应前后,他们指出了哪些?±10%相同身份的面孔对成员看起来更正常。参与者评判了男性和女性的年轻人和老年人的面孔。老年人表现出的后代效应比年轻人小,p <.05,但是对于每个年龄段,不同年龄和性别类别的后代效应幅度都没有差异(即,女性成年女性脸部的后效应最大),p> .10。在实验2中,我们检查了对±±10%面孔对差异的敏感性是否随参与者年龄和/或面孔年龄的变化而变化。年轻人和老年人(每组n = 16)分别显示出±±10%,±±20%和±±30%的相同身份面孔对,并指出每对面孔中的哪一个显得更加张开。在所有条件下,准确度均> 75%,并且与面部年龄没有差异。年轻人比老年人更准确,但仅适用于±±10%对,p <.01。参与者还对年轻人和老年人面孔的正常性进行了评估,范围从+ 60%扩展到-60%以10%增量压缩。总体而言,老年人比年轻人的敏感度低,p <.001,并且两组都显示出对年轻人面部变形的敏感度稍高,p <.05。总的来说,这些结果表明,针对年轻人的面孔,基于规范的编码所依据的维度最精确,而老年人对这些维度的敏感性下降。

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