Visual ZIP files: Viewers beat capacity limits by compressing redundant features across objects.
Visual ZIP files: Viewers beat capacity limits by compressing redundant features across objects.
复制标题
可视化 ZIP 文件：查看器通过压缩对象之间的冗余功能来突破容量限制。
DOI：
10.1037/xhp0000879
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Franconeri, Steve
中科院分区：
文献类型：
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作者：
Meyerhoff, Hauke S.;Jardine, Nicole;Stieff, Mike;Hegarty, Mary;Franconeri, Steve
当显示器旋转时，给定一组简单的物体，视觉工作记忆容量从3到4个单位下降到只有1到2个单位。但现实世界的STEM专家不知何故克服了这些限制。在这里，我们研究了一个潜在的域一般的机制，可能会帮助专家超过这些限制：压缩信息的基础上冗余的视觉特征。参与者短暂地看到4种颜色的形状，要么完全不同，要么重复颜色，形状，或成对的颜色+形状（例如，两个绿色正方形中的蓝色三角形和黄色菱形），同时进行言语抑制任务。参与者在旋转视图中报告了潜在的互换（变化/无变化）。在实验1a到1c中，重复的特征提高了颜色，形状和配对的颜色+形状的性能。重要的是，实验2a和2b发现，当重复的物体共享两个特征维度（即两个绿色正方形）时，重复的好处最明显。当颜色和形状重复在不同的对象（例如，绿色正方形、绿色三角形、红色三角形）之间进行分割时，其好处被降低到单个冗余特征的水平，这表明基于特征的分组是冗余好处的基础。视觉压缩是一种有效的编码策略，可以在空间上标记重复的特征。（PsycInfo数据库记录（c）2020阿帕，保留所有权利）
Given a set of simple objects, visual working memory capacity drops from 3 to 4 units down to only 1 to 2 units when the display rotates. But real-world STEM experts somehow overcome these limits. Here, we study a potential domain-general mechanism that might help experts exceed these limits: compressing information based on redundant visual features. Participants briefly saw 4 colored shapes, either all distinct or with repetitions of color, shape, or paired Color+ Shape (eg, two green squares among a blue triangle and a yellow diamond), with a concurrent verbal suppression task. Participants reported potential swaps (change/no change) in a rotated view. In Experiments 1a through 1c, repeating features improved performance for color, shape, and paired Color+ Shape. Critically, Experiments 2a and 2b found that the benefits of repetitions were most pronounced when the repeated objects shared both feature dimensions (ie, two green squares). When color and shape repetitions were split across different objects (eg, green square, green triangle, red triangle), the benefit was reduced to the level of a single redundant feature, suggesting that feature-based grouping underlies the redundancy benefit. Visual compression is an effective encoding strategy that can spatially tag features that repeat.(PsycInfo Database Record (c) 2020 APA, all rights reserved)