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How do we recognize our own stuff? Expert vs. generic recognition of household items

机译:我们如何识别自己的东西?家用物品的专家识别与一般识别

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Previous research on object recognition-as opposed to face recognition- has primarily focused on a??generica?? objects (e.g. identifying an object as a car), in which different individuals are assumed to share the same basic knowledge about the target objects. However, we are all a??expertsa?? with regard to a particular class of stimuli: the objects we see and use every day in our home or work environment. The current study aims to address how such a??experta?? recognition compares with generic recognition of household objects. We compared performance for expert observers-in which the target objects came from the subjecta??s own home, vs. generic observers- who were unfamiliar with the particular environment from which the objects were drawn. Recognition performance was measured using two paradigms: a??pixelationa??- in which subjects progressively increased the resolution of the image of the object until they could recognize it and a??modified bubblesa??-in which subjects had to progressively reveal the image of the object by removing square checks from an occluder obscuring it. In addition, we assessed the role of specific features (color, size, object type) across expert and generic observers. We found a large advantage for the expert observers overall as well as differences between expert and generic observers in the role of specific features.
机译:先前关于对象识别的研究(相对于面部识别)主要集中在“ generica”上。对象(例如,将对象识别为汽车),其中假定不同的个人共享有关目标对象的相同基本知识。但是,我们都是“专家”?关于特定类别的刺激:我们每天在家庭或工作环境中看到和使用的对象。当前的研究旨在解决这种“专家”的问题。识别与家用物品的一般识别相比。我们比较了专家观察员(目标对象来自主题本身的家)和普通观察员(不熟悉绘制对象的特定环境)的性能。识别性能的测量使用两个范式:“像素化”(a)“像素化”(a),其中被摄体逐渐提高对象图像的分辨率,直到他们可以识别为止;以及“Δp修饰的气泡”(a)(其中,受试者必须逐渐揭示物体的图像)。通过从遮挡物上消除遮挡物的方格消除物体的图像。此外,我们评估了专家和一般观察员的特定功能(颜色,大小,对象类型)的作用。我们发现总体上对于专家观察者而言,这是一个巨大的优势,而且在特定功能的作用方面,专家观察者与普通观察者之间也存在差异。

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