Department of Psychology, Green Hall, Princeton University, Princeton, NJ 08540, USA.
Psychol Sci. 2013 May;24(5):667-77. doi: 10.1177/0956797612460407. Epub 2013 Apr 4.
Knowledge about regularities in the environment can be used to facilitate perception, memory, and language acquisition. Given this usefulness, we hypothesized that statistically structured sources of information receive attentional priority over noisier sources, independent of their intrinsic salience or goal relevance. We report three experiments that support this hypothesis. Experiment 1 shows that regularities bias spatial attention: Visual search was facilitated at a location containing temporal regularities, even though these regularities did not predict target location, timing, or identity. Experiments 2 and 3 show that regularities bias feature attention: Attentional capture doubled in magnitude when singletons appeared, respectively, in a color or dimension with temporal regularities among task-irrelevant stimuli. Prioritization of the locations and features of regularities is not easily accounted for in the conventional dichotomy between stimulus-driven and goal-directed attention. This prioritization may in turn promote further statistical learning, helping the mind to acquire knowledge about stable aspects of the environment.
关于环境规律的知识可被用于辅助感知、记忆和语言习得。鉴于其有用性,我们假设,与固有显著性或目标相关性无关,统计结构的信息源会受到注意的优先处理,而不是噪声源。我们报告了三项支持这一假设的实验。实验 1 表明,规律性会影响空间注意:即使这些规律性不预测目标位置、时间或身份,在包含时间规律性的位置进行视觉搜索也会得到促进。实验 2 和实验 3 表明,规律性会影响特征注意:在与任务无关的刺激中,当单个体分别出现在具有时间规律性的颜色或维度中时,注意力捕获的幅度增加了一倍。在传统的刺激驱动和目标导向注意之间的二分法中,对规律性的位置和特征的优先处理不容易解释。这种优先级排序反过来又可能促进进一步的统计学习,帮助大脑获取有关环境稳定方面的知识。