注意捕获过程中的数据驱动理论和信号抑制假说再验证  

Further Validation of Data-Driven Theory and Signal Suppression Hypothesis in Attentional Capture Process

作　　者：梁杰璇 

机构地区：[1]福建师范大学心理学院,福建 福州

出　　处：《社会科学前沿》2024年第3期334-339,共6页Advances in Social Sciences

摘　　要：数据驱动理论认为显著单例会自动吸引注意,而信号抑制假说认为个体可以主动抑制一个无关的显著干扰物。采用Chang和Egeth (2020)的实验范式,验证中国青少年的注意捕获是否遵循数据驱动理论。在70%搜索试验中,被试在有无显著颜色干扰各半的试验中搜索目标图形。而另30%探测试验中,探索被试主动抑制的学习成果。探测实验结果表明,当探测目标呈现在中性色项目上时,被试所用反应时显著短于其在目标色和干扰色项目上。探测目标在中性色项目上时的正确率也显著高于其在目标色和干扰色项目上。因此,中国青少年的注意捕获遵循数据驱动理论。The data-driven theory suggests that significant instances automatically attract attention, while the signal suppression hypothesis assumes that observers can actively suppress an unrelated significant disruptor. Using the experimental paradigm of Chang and Egeth (2020), this study aims to verify whether attention capture among Chinese high school students follows data-driven theory. In a 70% search experiment, participants searched for target shapes in experiments with and without significant color interference. In the 30% detection experiment, explore the learning outcomes actively suppressed by the subjects. The detection experiment results show that when the detection target appears on the neutral color item, the reaction time used by the subjects is significantly shorter than on the target color and interference color items. The accuracy of detecting targets in neutral color projects is significantly higher than that in target color and interference color projects. Therefore, the attention capture of the subjects follows the data-driven theory.

关 键 词：注意 注意捕获 信号抑制假说 数据驱动理论 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]