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Task effects on perceived identity of unfamiliar faces in open card sorting.

机译:任务对公开卡片分类中陌生面孔的感知身份产生影响。

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Face perception is tantamount to identity perception. While identity representations in memory can be engaged to categorize different images of a familiar face (e.g., Barack Obama, George Clooney) with little interference from superficial variations in appearance and lighting, images of an unfamiliar face can be categorized only on the basis of perceptual information in the image. The difference in identity perception in familiar and unfamiliar face images is captured in a face sorting task where observers often perceive different images of the same person as different identities, but only when the face is unfamiliar (e.g., Jenkins et al., 2011; Neil et al., 2016). The current research addresses whether the formation of sub-identities of unfamiliar persons are idiosyncratic or systematic and whether the nature of the sorting task itself influences judgements of identity. In this study, participants were presented with 40 face images either simultaneously or sequentially and asked to group the images according to identity. Replicating previous results (Jenkins et al., 2011), participants tended to overestimate the number of identities in the face images (M = 6.35, SD = 5.76; 2 identities in the set). Jaccard similarity coefficients showed that participants in the simultaneous group were reliably more accurate than participants in the sequential group (p = .01). Hierarchical cluster analysis revealed shared sorting strategies amongst participants, however categorization structures diverged across conditions with respect to both the size and composition of the clusters. Results suggest that perceived identity of an unfamiliar face may be based on predictable parameters (e.g. hair, makeup, lighting), but that those parameters may change depending on the demands and procedures of the categorization task.
机译:人脸感知等同于身份感知。虽然可以使用内存中的身份表示对几乎没有表情的表面和灯光造成的干扰进行归类,以对熟悉的面孔的不同图像(例如,巴拉克·奥巴马,乔治·克鲁尼)进行分类,但不熟悉的面孔的图像只能基于感知来分类。图片中的信息。在面部分类任务中捕获了熟悉和不熟悉的面部图像中的身份感知差异,观察者通常将同一个人的不同图像视为不同的身份,但是仅当面部不熟悉时(例如,Jenkins等人,2011; Neil等人,2016年)。当前的研究关注的是陌生人的亚身份的形成是特质的还是系统的,以及分类任务本身的性质是否会影响身份的判断。在这项研究中,参与者被同时或顺序呈现40张面部图像,并被要求根据身份对图像进行分组。复制以前的结果(Jenkins等,2011),参与者倾向于高估面部图像中的身份数量(M = 6.35,SD = 5.76;该组中有2个身份)。 Jaccard相似系数表明,同步组的参与者比顺序组的参与者可靠地更准确(p = .01)。层次聚类分析揭示了参与者之间的共享排序策略,但是分类结构在各个条件上都涉及聚类的大小和组成。结果表明,陌生面孔的感知身份可能基于可预测的参数(例如,头发,化妆,照明),但是这些参数可能会根据分类任务的要求和过程而变化。

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