Background\ud\udWorking memory (WM) is imperative for effective selective attention. Distractibility is greater under conditions of high (vs. low) concurrent working memory load (WML), and in individuals with low (vs. high) working memory capacity (WMC). In the current experiments, we recorded the flanker task performance of individuals with high and low WMC during low and high WML, to investigate the combined effect of WML and WMC on selective attention.\udMethodology/Principal Findings\ud\udIn Experiment 1, distractibility from a distractor at a fixed distance from the target was greater when either WML was high or WMC was low, but surprisingly smaller when both WML was high and WMC low. Thus we observed an inverted-U relationship between reductions in WM resources and distractibility. In Experiment 2, we mapped the distribution of spatial attention as a function of WMC and WML, by recording distractibility across several target-to-distractor distances. The pattern of distractor effects across the target-to-distractor distances demonstrated that the distribution of the attentional window becomes dispersed as WM resources are limited. The attentional window was more spread out under high compared to low WML, and for low compared to high WMC individuals, and even more so when the two factors co-occurred (i.e., under high WML in low WMC individuals). The inverted-U pattern of distractibility effects in Experiment 1, replicated in Experiment 2, can thus be explained by differences in the spread of the attentional window as a function of WM resource availability.\udConclusions/Significance\ud\udThe current findings show that limitations in WM resources, due to either WML or individual differences in WMC, affect the spatial distribution of attention. The difference in attentional constraining between high and low WMC individuals demonstrated in the current experiments helps characterise the nature of previously established associations between WMC and controlled attention.
展开▼
机译:背景\ ud \ ud工作记忆(WM)对于有效的选择性注意至关重要。在高(相对于低)并行工作内存负载(WML)的条件下,以及在低(相对于高)工作内存容量(WMC)的个人中,分散性更大。在当前的实验中,我们记录了在低和高WML期间具有高和低WMC的个人的侧翼任务表现,以研究WML和WMC对选择性注意的联合作用。\ ud方法/主要发现\ ud \ ud在实验1中,分散注意力当WML偏高或WMC偏低时,与目标固定距离的干扰物产生的干扰较大,而WML偏高和WMC偏低时,干扰干扰较小。因此,我们观察到WM资源减少与分散性之间存在倒U型关系。在实验2中,我们通过记录跨多个目标到干扰物的距离的分散性,将空间注意力的分布映射为WMC和WML的函数。干扰物在目标到干扰物之间的距离模式表明,由于WM资源有限,注意力窗口的分布变得分散。与低WML相比,注意窗口在高状态下更分散,而在低WML情况下则比在低WML状态下更分散,当两个因素同时出现时(即在低WMC情况下在高WML下),注意力窗口更加分散。因此,实验1中重复出现的分散注意力效应的倒U型模式可以用实验窗口2中重复出现的方式来解释,即注意力窗口的扩展与WM资源可用性有关。\ ud结论/重要性\ ud \ ud由于WML或WMC中的个体差异,WM资源的局限性会影响注意力的空间分布。当前实验中显示的高和低WMC个人之间的注意力约束差异有助于表征WMC与受控注意力之间先前建立的关联的性质。
展开▼