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Association and dissociation between detection and discrimination of objects of expertise: Evidence from visual search

机译:检测和区分专业知识对象之间的关联和分离:来自视觉搜索的证据

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Expertise in face recognition is characterized by high proficiency in distinguishing between individual faces. However, faces also enjoy an advantage at the early stage of basic-level detection, as demonstrated by efficient visual search for faces among nonface objects. In the present study, we asked (1) whether the face advantage in detection is a unique signature of face expertise, or whether it generalizes to other objects of expertise, and (2) whether expertise in face detection is intrinsically linked to expertise in face individuation. We compared how groups with varying degrees of object and face expertise (typical adults, developmental prosopagnosics [DP], and car experts) search for objects within and outside their domains of expertise (faces, cars, airplanes, and butterflies) among a variable set of object distractors. Across all three groups, search efficiency (indexed by reaction time slopes) was higher for faces and airplanes than for cars and butterflies. Notably, the search slope for car targets was considerably shallower in the car experts than in nonexperts. Although the mean face slope was slightly steeper among the DPs than in the other two groups, most of the DPs' search slopes were well within the normative range. This pattern of results suggests that expertise in object detection is indeed associated with expertise at the subordinate level, that it is not specific to faces, and that the two types of expertise are distinct facilities. We discuss the potential role of experience in bridging between low-level discriminative features and highlevel naturalistic categories.
机译:面部识别方面的专业知识的特点是熟练区分各个面部。但是,人脸在基本级别检测的早期阶段也具有优势,这可以通过有效地视觉搜索非人脸对象之间的人脸来证明。在本研究中,我们询问(1)检测中的面部优势是否是面部专业知识的独特标志,或者是否可以推广到其他专业知识对象,以及(2)面部检测专业知识是否与面部专业知识内在联系个性化。我们比较了具有不同程度的对象和面部专业知识的小组(典型的成年人,发育障碍专家[DP]和汽车专家)如何在变量集内搜索其专业知识领域(面孔,汽车,飞机和蝴蝶)内外的物体物体干扰物。在所有这三个组中,面部和飞机的搜索效率(以反应时间斜率表示)比汽车和蝴蝶的搜索效率更高。值得注意的是,与非专家相比,汽车专家对汽车目标的搜索斜率要浅得多。尽管DP中的平均脸部斜度比其他两组略陡,但大多数DP的搜索斜度都在标准范围内。这种结果模式表明,对象检测方面的专业知识确实与下属级别的专业知识相关联,它不是特定于面部的,并且这两种类型的专业知识是不同的工具。我们讨论了经验在桥接低级区分特征和高阶自然主义类别之间的潜在作用。

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