Chen Yue, Guo Junzhen, Huang Chen, Wang Yingying
Department of Psychology and Behavioral Sciences, Zhejiang University, 866 Yuhangtang Road, Hangzhou 310058, China.
Behav Sci (Basel). 2025 Sep 18;15(9):1274. doi: 10.3390/bs15091274.
Selection history significantly influences attentional processes. Current debates center on whether different components of selection history influence attention through shared learning-dependent mechanisms or via independent mechanisms. Recent research suggests that aversive associative learning and statistical learning, two key components of selection history, modulate attentional selection independently. The present study investigates how these two components influence attentional selection under different search strategies. In Experiment 1, participants engaged in a singleton detection task, searching for a unique shape singleton while ignoring an irrelevant color singleton. In Experiment 2, they employed a feature search strategy, targeting a predefined attribute among varied shapes while disregarding a distracting color singleton. Results showed that under the singleton detection mode, two learning processes exert independent effects on attentional selection toward salient distractors. Conversely, under the feature search mode, the two learning processes interacted, with the interaction primarily driven by aversive associative learning. These findings highlight the critical role of search strategies in modulating how selection history affects attentional processes. They offer new insights into the mechanisms of attentional selection and the interplay between different forms of learning in complex visual search environments.
选择历史显著影响注意力过程。当前的争论集中在选择历史的不同组成部分是通过共享的依赖学习的机制还是通过独立的机制来影响注意力。最近的研究表明,厌恶联想学习和统计学习这两个选择历史的关键组成部分,独立地调节注意力选择。本研究调查了这两个组成部分在不同搜索策略下如何影响注意力选择。在实验1中,参与者进行单一目标检测任务,寻找一个独特形状的单一目标,同时忽略一个不相关颜色的单一目标。在实验2中,他们采用特征搜索策略,在各种形状中针对一个预定义的属性,同时忽略一个干扰性的颜色单一目标。结果表明,在单一目标检测模式下,两种学习过程对注意力向显著干扰物的选择产生独立影响。相反,在特征搜索模式下,两种学习过程相互作用,这种相互作用主要由厌恶联想学习驱动。这些发现突出了搜索策略在调节选择历史如何影响注意力过程方面的关键作用。它们为注意力选择机制以及复杂视觉搜索环境中不同形式学习之间的相互作用提供了新的见解。