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Face or building superiority in peripheral vision reversed by taskrequirements

机译:面对或克服周围视觉中的建筑优势要求

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摘要

Peripheral vision has been the topic of few studies compared with central vision. Nevertheless, given that visual information covers all the visual field and that relevant information can originate from highly eccentric positions, the understanding of peripheral vision abilities for object perception seems essential. The poorer resolution of peripheral vision would first suggest that objects requiring large-scale feature integration such as buildings would be better processed than objects requiring finer analysis such as faces. Nevertheless, task requirements also determine the information (coarse or fine) necessary for a given object to be processed. We therefore investigated how task and eccentricity modulate object processing in peripheral vision. Three experiments were carried out requiring finer or coarser information processing of faces and buildings presented in central and peripheral vision. Our results showed that buildings were better judged as identical or familiar in periphery whilst faces were better categorised. We conclude that this superiority for a given stimulus in peripheral vision results (a) from the available information, which depends on the decrease of resolution with eccentricity, and (b) from the useful information, which depends on both the task and the semanticcategory.
机译:与中央视觉相比,周边视觉一直是少数研究的主题。但是,鉴于视觉信息涵盖了所有视野,并且相关信息可能源自高度偏心的位置,因此理解外围视觉对物体感知能力的需求似乎至关重要。较差的外围视觉分辨率将首先表明,需要大规模特征集成的对象(例如建筑物)将比需要精细分析的对象(例如面部)得到更好的处理。尽管如此,任务要求还确定了要处理给定对象所需的信息(粗略或精细)。因此,我们研究了任务和离心率如何在外围视觉中调节对象处理。进行了三个实验,要求对中心和外围视觉中呈现的人脸和建筑物进行更好或更粗糙的信息处理。我们的结果表明,建筑物在外围时更好地被判断为相同或熟悉,而面孔则更好地被分类。我们得出结论,对于周边视觉的给定刺激,这种优越性来自(a)来自可用信息,这取决于偏心率的降低,以及(b)来自有用信息,这取决于任务和语义类别。

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