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首页> 外文期刊>Frontiers in Psychology >Misaligned and Polarity-Reversed Faces Determine Face-specific Capacity Limits
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Misaligned and Polarity-Reversed Faces Determine Face-specific Capacity Limits

机译:错位和极性反转的面孔确定了特定面孔的容量限制

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Previous research using flanker paradigms suggests that peripheral distracter faces are automatically processed when participants have to classify a single central familiar target face. These distracter interference effects disappear when the central task contains additional anonymous (non-target) faces that load the search for the face target, but not when the central task contains additional non-face stimuli, suggesting there are face-specific capacity limits in visual processing. Here we tested whether manipulating the format of non-target faces in the search task affected face-specific capacity limits. Experiment 1 replicated earlier findings that a distracter face is processed even in high load conditions when participants looked for a target name of a famous person among additional names (non-targets) in a central search array. Two further experiments show that when targets and non-targets were faces (instead of names), however, distracter interference was eliminated under high load—adding non-target faces to the search array exhausted processing capacity for peripheral faces. The novel finding was that replacing non-target faces with images that consisted of two horizontally misaligned face-parts reduced distracter processing. Similar results were found when the polarity of a non-target face image was reversed. These results indicate that face-specific capacity limits are not determined by the configural properties of face processing, but by face parts.
机译:先前使用侧翼范式的研究表明,当参与者必须对单个中心熟悉的目标面部进行分类时,会自动处理周围的干扰物面部。当中心任务包含加载面部目标搜索的其他匿名(非目标)面部时,这些干扰因素的影响消失,但是当中心任务包含其他非面部刺激时,这些干扰因素的影响消失,这表明视觉中存在特定于面部的能力限制处理。在这里,我们测试了在搜索任务中操纵非目标面部的格式是否会影响特定于面部的容量限制。实验1重复了先前的发现,即当参与者在中央搜索数组的其他名称(非目标)中寻找名人的目标名称时,即使在高负荷条件下,也要处理分散注意力的面部。进一步的两个实验表明,当目标和非目标是人脸(而不是名称)时,在高负载下就消除了干扰干扰-向搜索数组中添加非目标人脸会耗尽外围人脸的处理能力。新颖的发现是,用由两个水平未对齐的面部组成的图像替换非目标面部,可减少干扰处理。当非目标面部图像的极性反转时,发现类似的结果。这些结果表明,特定于脸部的能力限制不是由面部处理的配置属性决定的,而是由面部部分决定的。

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