Multidimensional visual statistical learning.
Multidimensional visual statistical learning.
复制标题
多维视觉统计学习。
DOI：
10.1037/0278-7393.34.2.399
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Teresa A. Treat
中科院分区：
文献类型：
--
作者：
N. Turk;Phillip Isola;B. Scholl;Teresa A. Treat
视觉统计学习（VSL）的最新研究表明，即使没有意图或意识，视觉刺激序列中的统计信息也可以自动提取。尽管在这个问题上做了很多工作，但是，关于VSL的性质仍然存在一些基本问题。特别是，以前的实验没有探索VSL操作的基本单元。例如，在一系列彩色形状中，VSL是独立地对每个特征维进行操作，还是对颜色和形状绑定在一起的多维对象进行操作？这里报道的研究表明，VSL可以是基于对象和基于特征的，在系统的方式基于不同的特征尺寸如何协变。例如，当每个形状与特定颜色完美协变时，VSL是基于对象的：观察者在测试中对彩色形状子序列表示了鲁棒的VSL，但当测试项目由单色形状或色块组成时则失败了。然而，当形状和颜色对在学习过程中部分解耦时，VSL对特征进行操作：当特征维度单独测试时，观察者表示鲁棒的VSL。这些结果表明，VSL是基于对象的，但多维序列（可能是另一种形式的VSL）中的特征相关性的敏感性可能反过来有助于定义什么算作一个对象。
Recent studies of visual statistical learning (VSL) have demonstrated that statistical regularities in sequences of visual stimuli can be automatically extracted, even without intent or awareness. Despite much work on this topic, however, several fundamental questions remain about the nature of VSL. In particular, previous experiments have not explored the underlying units over which VSL operates. In a sequence of colored shapes, for example, does VSL operate over each feature dimension independently, or over multidimensional objects in which color and shape are bound together? The studies reported here demonstrate that VSL can be both object-based and feature-based, in systematic ways based on how different feature dimensions covary. For example, when each shape covaried perfectly with a particular color, VSL was object-based: Observers expressed robust VSL for colored-shape sub-sequences at test but failed when the test items consisted of monochromatic shapes or color patches. When shape and color pairs were partially decoupled during learning, however, VSL operated over features: Observers expressed robust VSL when the feature dimensions were tested separately. These results suggest that VSL is object-based, but that sensitivity to feature correlations in multidimensional sequences (possibly another form of VSL) may in turn help define what counts as an object.
影响因子：
4
作者：
Thiessen, ED;Saffran, JR
通讯作者：
Saffran, JR