Chapter 10. Working memory capacity and narrative task performance

The nature of parietal contributions to working memory (WM) remain poorly understood but of considerable interest. We previously reported that posterior parietal damage selectively impaired WM probed by recognition (Berryhill and Olson, 2008a). Recent studies provided support using a neuromodulatory technique, transcranial direct current stimulation (tDCS) applied to the right parietal cortex (P4). These studies confirmed parietal involvement in WM because parietal tDCS altered WM performance: anodal current tDCS improved performance in a change detection task, and cathodal current tDCS impaired performance on a sequential presentation task. Here, we tested whether these complementary results were due to different degrees of parietal involvement as a function of WM task demands, WM task difficulty, and/or participants’ WM capacity. In Experiment 1, we applied cathodal and anodal tDCS to the right parietal cortex and tested participants on both previously used WM tasks. We observed an interaction between tDCS (anodal, cathodal), WM task difficulty, and participants’ WM capacity. When the WM task was difficult, parietal stimulation (anodal or cathodal) improved WM performance selectively in participants with high WM capacity. In the low WM capacity group, parietal stimulation (anodal or cathodal) impaired WM performance. These nearly equal and opposite effects were only observed when the WM task was challenging, as in the change detection task. Experiment 2 probed the interplay of WM task difficulty and WM capacity in a parametric manner by varying set size in the WM change detection task. Here, the effect of parietal stimulation (anodal or cathodal) on the high WM capacity group followed a linear function as WM task difficulty increased with set size. The low WM capacity participants were largely unaffected by tDCS. These findings provide evidence that parietal involvement in WM performance depends on both WM capacity and WM task demands. We discuss these findings in terms of alternative WM strategies employed by low and high WM capacity individuals. We speculate that low WM capacity individuals do not recruit the posterior parietal lobe for WM tasks as efficiently as high WM capacity individuals. Consequently, tDCS provides greater benefit to individuals with high WM capacity.

The effects of structured input and working memory on the acquisition of English causative forms

<p class="a"><span lang="EN-US">In this research, authors examine how individual differences in working memory capacity and Working Memory updating influence differences in impulsivity in risky decision making and behaviors. This study makes attempt to address extension of related works on the relationship between working memory, impulsivity and risky decision making and behaviors in adolescents. A large sample (420) of boy secondary grade students involved in this research; this study indicated that working memory capacity and updating Working Memory moderate some of impulsivity and high risk behaviors and decision making. Individuals with low working memory capacity and high impulsivity compared to individuals with high working memory capacity and high impulsivity are more likely subjected to risky decision making. Further, high risk behaviors are more salient in individuals with low updating Working Memory and high impulsivity. </span></p>

Predicting distracted driving: The role of individual differences in working memory

Objectives: The purpose of the study was to identify the impact of age-related working memory capacity and cognitive load to word recognition using an eye tracker.Methods: A total of 48 participants (24 young, 24 elderly adults) who were divided according to working memory capacity (high, low) participated in the study. This study consisted of a digit load and word recognition task.Results: First, the elderly group had lower accuracy and slower response times than the young group. There was a significant difference between working memory capacity and cognitive load in response time. In the group with low working memory capacity, the response time increased under lower cognitive load, which was different from the group with a high working memory capacity. Next, the elderly group had a lower proportion of fixation than the young group by time interval. In addition, there was a significant interaction between group and cognitive load by time interval. In particular, the proportion of fixation decreased over time under a high cognitive load while the proportion of fixation increased under a low cognitive load in the elders, because the inhibition and switching abilities were weakened which made the elders unable to process information efficiently.Conclusion: The study results showed significant effects between working memory capacity and cognitive load in response time and proportion of fixation. This implies that complex factors influence language processing, which makes measuring accuracy insufficient. Thus, this research confirms the correlation among aging, working memory, and cognitive load through both online and offline measurement.

Explaining the high working memory capacity of gifted children: Contributions of processing skills and executive control

According to Cognitive Load Theory, learning material should be designed in a way to decrease unnecessary demands on working memory (WM). However, recent research has shown that additional demands on WM caused by less legible texts lead to better learning outcomes. This so-called disfluency effect can be assumed as a metacognitive regulation process during which learners assign their cognitive resources depending on the perceived difficulty of a cognitive task. Increasing the perceived difficulty associated with a cognitive task stimulates deeper processing and a more analytic and elaborative reasoning. Yet there are studies which could not replicate the disfluency effect indicating that disfluency might be beneficial only for learners with particular learner characteristics. Additional demands on working memory caused by disfluent texts are possibly just usable by learners with a high working memory capacity. Therefore the present study investigated the aptitude-treatment-interaction between working memory capacity and disfluency. Learning outcomes were measured by means of a retention, a comprehension, and a transfer test. Moreover, the three types of cognitive load (intrinsic, extraneous, and germane) were assessed. The results revealed significant aptitude-treatment-interaction effects with respect to retention and comprehension. Working memory capacity had a significant influence only in the disfluency condition: The higher the working memory capacity, the better the retention and comprehension performance in the disfluency condition. No effects were found with respect to transfer or cognitive load. Thus, the role of metacognitive regulation and its possible effects on cognitive load need further investigation.

Working memory capacity consistently correlates with fluid intelligence. It has been suggested that this relationship is partly attributable to strategy use: Participants with high working memory capacity would use more effective strategies, in turn leading to higher performance on fluid intelligence tasks. However, this idea has never been directly investigated. In 2 experiments, we tested this hypothesis by directly manipulating strategy use in a combined experimental-correlational approach (Experiment 1; N = 250) and by measuring strategy use with a self-report questionnaire (Experiment 2; N = 93). Inducing all participants to use an effective strategy in Raven's matrices decreased the correlation between working memory capacity and performance; the strategy use measure fully mediated the relationship between working memory capacity and performance on the matrices task. These findings indicate that individual differences in strategic behavior drive the predictive utility of working memory. We interpret the results within a theoretical framework integrating the multiple mediators of the relationship between working memory capacity and high-level cognition.

In the present experiments, we explored the relationship between individual differences in working memory (WM) capacity and susceptibility to false recognitions and their accompanying subjective experiences. Deese/Roediger-McDermott (DRM) associative lists were used to elicit false memories, and remember/know judgments were used to measure the recollective experiences accompanying recognition decisions. We found that WM capacity was related to false recognitions of nonpresented critical lures and to the proportion of remember responses given to critical lures, such that higher WM capacity was associated with lower false-recognition rates and with lower proportions of remember responses. Importantly, these WM differences were only found when participants were forewarned about the nature of the DRM task prior to encoding (Exp. 1). When the forewarning was absent, WM capacity was not related to false recognitions or to the proportion of remember responses given to critical lures (Exp. 2). These results support the controlled-attention view of WM and suggest that subjective experiences of falsely recognized lures fluctuate as a function of WM capacity.

Low working memory capacity in euthymic bipolar I disorder: No relation to reappraisal on emotion regulation

The effects of working memory (WM) capacity on mathematical ability are well known. This relationship is seen mainly for the capacity of visuospatial WM, while the capacity of the phonological loop of WM, which is associated with processing sound and speech information, has been suggested to have a minor effect on mathematical ability in adults. Nonetheless, involvement of the language neural networks in mathematical thought remains controversial. We have studied the effects of the capacity of the phonological loop of WM on the rate and correctness of solution of mathematical and verbal tasks in young, healthy, right-handed volunteers who either had higher education or were students at institutions teaching mathematics and humanities. Subjects in the mathematics group (N = 10) solved all tasks with measures of solution correctness (CA) and response time (RT) which were significantly better than values for subjects of the humanities group (N = 10). The capacity of the phonological loop of WM showed no difference between the two groups but had different effects on CA and RT values for tasks in mathematicians and humanities specialists. Spearman correlation analysis for each group separately showed that the capacity of WM had positive effects on CA for all mathematical tasks only in the mathematicians group, where it had no effect on RT, while the reverse tendency was seen in the humanities group. The capacity of WM in the mathematicians group correlated inversely with RT for logical tasks on arithmetic sequences. Our results provide indirect evidence that WM in the verbal domain can influence mathematical ability, especially when tasks require the involvement of logical thought.

This study investigated the role of strategy instruction and working memory capacity (WMC) on problem solving solution accuracy in children with and without math disabilities (MD). Children in grade 3 (N = 204) with and without MD subdivided into high and low WMC were randomly assigned to 1 of 4 conditions: verbal strategies (e.g., underlining question sentence), visual strategies (e.g., correctly placing numbers in diagrams), verbal + visual strategies, and an untreated control. The dependent measures for training were problem solving accuracy and two working memory transfer measures (operation span and visual-spatial span). Three major findings emerged: (1) strategy instruction facilitated solution accuracy but the effects of strategy instruction were moderated by WMC, (2) some strategies yielded higher post-test scores than others, but these findings were qualified as to whether children were at risk for MD, and (3) strategy training on problem solving measures facilitated transfer to working memory measures. The main findings were that children with MD, but high WM spans, were more likely to benefit from strategy conditions on target and transfer measures than children with lower WMC. The results suggest that WMC moderates the influence of cognitive strategies on both the targeted and non-targeted measures.

Working memory capacity (WMC) refers to the ability to maintain information in short–term memory while attending to the immediate environment, and has been associated with emotional states. Yet, research on the link between WMC and emotion in naturalistic settings is growing and inconsistencies have been observed. In the current study (N = 109), we directly replicated the procedures of a prior experience sampling study (Garrison & Schmeichel, 2022), which found that higher WMC attenuates the relationship between stressful events in daily life and negative affect. We measured WMC in the laboratory and then measured the occurrence of stressful events, momentary emotional states, and coping responses to stress several times a day for six days. Higher WMC was associated with reduced momentary negative emotion, but this relationship did not depend on the occurrence of a stressful event. Exploratory analyses found that higher WMC was associated with a greater likelihood of planning as a coping response to stress and greater number of coping strategies reported per stressful event. However, coping did not mediate the link between WMC and momentary negative emotion. Our results contribute to the robustness and ecological validity of the link between WMC and reduced negative emotion in daily life.

This literature review aims to analyze the role of individual differences in working memory capacity in following instructions based on theoretical perspectives and empirical evidence. Individual differences in working memory capacity have an impact on the encoding, and retrieval stage. In general, the output from the review stated that the performance difference between individuals relates to the experimental design and treatment, which include delivery of the instructions, presentation of objects, the length of instructions, involvement of dual tasks, and retrieval methods. In addition, the contents of instructions can be transferred into working memory space if the individuals can give a high level of attention and control the attention to suppress the distractors. Therefore, the ability to follow instructions depends on the individual's understanding of the instructions' meaning and matching them with the available space of their working memory (capacity). This review also adds value and suggestions to the need to conduct more research on the role of working memory capacity in following instructions.

Different attentional breadths facilitate performance on different types of perceptual tasks. For instance, a narrow attentional breadth improves spatial resolution; whereas a broad attentional breath enhances face perception. This means that to optimise attention for the dynamic demands of real-world vision, it is necessary to efficiently resize attentional breadth. Previous research has shown that individuals differ considerably in how efficiently they can resize their attentional breadth. Since working memory capacity can be conceptualised as the ability to effectively regulate one's attentional resources, the present study examined whether individual differences in attentional resizing efficiency were related to working memory capacity. Tasks that gauge the efficiency of attentional contraction (resizing from broad to narrow focus) and attentional expansion (resizing from narrow to broad) were used, in addition to standard working memory measures. It was found that individuals high in working memory capacity experienced a greater cost in attentional contraction, that is, they were less efficient in resizing from a broad to a narrow attentional focus. This is likely because the attentional resizing tasks encourage the setting of a particular attentional breadth for the majority of trials in a block, and then gauge efficiency in changing from this breadth on the minority of trials. This means that high-capacity individuals may have more readily adopted the dominant attentional breadth, particularly in the majority-global condition, thereby incurring a greater cost on the infrequent trials requiring resizing to the local level. This shows that at least in some circumstances, greater cognitive control can be a relative disadvantage.