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Expertise for upright faces improves the precision but not the capacity of visual working memory

机译:直立面孔的专业知识可以提高精度但不能提高视觉工作记忆的容量

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摘要

Considerable research has focused on how basic visual features are maintained in working memory, but little is currently known about the precision or capacity of visual working memory for complex objects. How precisely can an object be remembered, and to what extent might familiarity or perceptual expertise contribute to working memory performance? To address these questions, we developed a set of computer-generated face stimuli that varied continuously along the dimensions of age and gender, and we probed participants’ memories using a method-of-adjustment reporting procedure. This paradigm allowed us to separately estimate the precision and capacity of working memory for individual faces, based on the assumptions of a discrete capacity model, and to assess the impact of face inversion on memory performance. We found that observers could maintain up to 4–5 items on average, with equally good memory capacity for upright and upside-down faces. In contrast, memory precision was significantly impaired by face inversion at every set size tested. Our results demonstrate that the precision of visual working memory for a complex stimulus is not strictly fixed, but instead can be modified by learning and experience. We find that perceptual expertise for upright faces leads to significant improvements in visual precision, without modifying the capacity of working memory.
机译:大量研究集中在如何在工作记忆中维持基本的视觉特征,但是目前对于复杂对象的视觉工作记忆的精度或容量知之甚少。如何精确地记住一个对象,熟悉程度或感知专业知识在多大程度上有助于工作记忆性能?为了解决这些问题,我们开发了一系列计算机生成的面部刺激,这些刺激会随着年龄和性别的不同而不断变化,并且我们使用一种调整方法报告程序来探查参与者的记忆。这种范例使我们能够基于离散容量模型的假设,分别估计单个面孔的工作记忆的精度和容量,并评估面孔反转对记忆性能的影响。我们发现,观察者平均可以维护多达4到5个项目,同时对于直立和倒置的脸部也具有相同的记忆能力。相比之下,在每个测试的设置大小下,人脸反转都会严重损害内存的精度。我们的结果表明,复杂刺激的视觉工作记忆的精度不是严格固定的,而是可以通过学习和经验进行修改的。我们发现,直立面部的感知专业知识可以显着提高视觉精度,而无需修改工作记忆的容量。

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