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Interaction Between Object-Based Attention and Pertinence Values Shapes the Attentional Priority Map of a Multielement Display

机译:基于对象的注意力和相关性值之间的相互作用塑造了多元素显示器的注意力优先级图

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摘要

Previous studies have shown that the perceptual organization of the visual scene constrains the deployment of attention. Here we investigated how the organization of multiple elements into larger configurations alters their attentional weight, depending on the “pertinence” or behavioral importance of the elements’ features. We assessed object-based effects on distinct aspects of the attentional priority map: top-down control, reflecting the tendency to encode targets rather than distracters, and the spatial distribution of attention weights across the visual scene, reflecting the tendency to report elements belonging to the same rather than different objects. In 2 experiments participants had to report the letters in briefly presented displays containing 8 letters and digits, in which pairs of characters could be connected with a line. Quantitative estimates of top-down control were obtained using Bundesen’s Theory of Visual Attention (1990). The spatial distribution of attention weights was assessed using the “paired response index” (PRI), indicating responses for within-object pairs of letters. In Experiment 1, grouping along the task-relevant dimension (targets with targets and distracters with distracters) increased top-down control and enhanced the PRI; in contrast, task-irrelevant grouping (targets with distracters) did not affect performance. In Experiment 2, we disentangled the effect of target-target and distracter-distracter grouping: Pairwise grouping of distracters enhanced top-down control whereas pairwise grouping of targets changed the PRI. We conclude that object-based perceptual representations interact with pertinence values (of the elements’ features and location) in the computation of attention weights, thereby creating a widespread pattern of attentional facilitation across the visual scene.
机译:先前的研究表明,视觉场景的感知组织会限制注意力的部署。在这里,我们研究了将多个元素组织成更大的配置如何改变它们的注意力重心,具体取决于元素功能的“针对性”或行为重要性。我们评估了注意力优先级图不同方面的基于对象的影响:自上而下的控制,反映了对目标而非干扰进行编码的趋势,注意力权重在视觉场景中的空间分布,反映了报告属于相同而不是不同的对象。在2个实验中,参与者必须在简短显示的显示屏中报告字母,该显示屏包含8个字母和数字,其中成对的字符可以用一条线连接。使用Bundesen的视觉注意理论(1990)获得了自上而下控制的定量估计。注意权重的空间分布使用“成对响应指数”(PRI)进行评估,表示对象内字母对的响应。在实验1中,沿着与任务相关的维度进行分组(目标与目标以及干扰物与干扰物)增加了自上而下的控制并增强了PRI;相反,与任务无关的分组(带有干扰因素的目标)不会影响性能。在实验2中,我们解开了目标-目标和干扰物-干扰物分组的效果:干扰物的成对分组增强了自上而下的控制,而目标的成对分组改变了PRI。我们得出结论,基于对象的感知表示在注意力权重的计算中与(元素的特征和位置的)相关性值相互作用,从而在整个视觉场景中创建了广泛的注意力促进模式。

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