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Tests of working memory capacity (WMC) and fluid intelligence (gF) are thought to capture variability in a crucial cognitive capacity that is broadly predictive of success, yet pinpointing the exact nature of this capacity is an area of ongoing controversy. We propose that mind-wandering is associated with performance on tests of WMC and gF, thereby partially explaining both the reliable correlations between these tests and their broad predictive utility. Existing evidence indicates that both WMC and gF are correlated with performance on tasks of attention, yet more decisive evidence requires an assessment of the role of attention and, in particular, mind-wandering during performance of these tests. Four studies employing complementary methodological designs embedded thought sampling into tests of general aptitude and determined that mind-wandering was consistently associated with worse performance on these measures. Collectively, these studies implicate the capacity to avoid mind-wandering during demanding tasks as a potentially important source of success on measures of general aptitude, while also raising important questions about whether the previously documented relationship between WMC and mind-wandering can be exclusively attributed to executive failures preceding mind-wandering (McVay & Kane, 2010b). (PsycINFO Database Record (c) 2012 APA, all rights reserved).
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... Past work, exploring how lapses of attention due to endogenous factors affect episodic encoding, has often probed participants' attention via self-reports of the content of their thoughts experienced during a task. Studies using thought-probe techniques have found that experiencing high levels of TUTs, which are indicative of mind-wandering, is negatively associated with task performance (Kane et al., 2016;Unsworth & McMillan, 2014;Maillet & Rajah, 2013;Mrazek et al., 2012;Stawarczyk et al., 2011;McVay & Kane, 2010). In a study by Blondé, Sperduti, Makowski, and Piolino (2021), participants were asked to perform a variant of the n-back task using images of common objects and were randomly presented with thought probes assessing either mind-wandering or boredom. ...
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... 4,5 For instance, MW impairs reading comprehension, 6 sustained attention and executive control, 7,8 model-based decision-making, 9 explicit deterministic sequence learning, 10 working memory, and fluid intelligence. 11,12 On a behavioral level, reduced performance linked to MW is usually evidenced by worse accuracy, that is, failures to respond to targets, impulsive responses (e.g., quick responses to non-target items), or increased reaction time variability, all being indicative of suboptimal task-related cognitive control. [13][14][15] Moving beyond the behavioral domain, sensory decoupling during periods of MW was also consistently demonstrated by attenuated cortical responses that reflect the processing of specific stimuli in a task. ...
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The human brain spends 30–50% of its waking hours engaged in mind-wandering (MW), a common phenomenon in which individuals either spontaneously or deliberately shift their attention away from external tasks to task-unrelated internal thoughts. Despite the significant amount of time dedicated to MW, its underlying reasons remain unexplained. Our pre-registered study investigates the potential adaptive aspects of MW, particularly its role in predictive processes measured by statistical learning. We simultaneously assessed visuomotor task performance as well as the capability to extract probabilistic information from the environment while assessing task focus (on-task vs. MW). We found that MW was associated with enhanced extraction of hidden, but predictable patterns. This finding suggests that MW may have functional relevance in human cognition by shaping behavior and predictive processes. Overall, our results highlight the importance of considering the adaptive aspects of MW, and its potential to enhance certain fundamental cognitive abilities.
... Specifically, there was stronger evidence for a positive relationship between off-task thought and worse performance for the non-autistic group compared to the autistic group. Prior work highlights that off-task thought in neurotypical individuals is; 1) consistently associated with poorer task performance 36,37,39,[64][65][66] and context-independent reductions in markers externally focussed attentional states, both physiological 83 and electrophysiological 84 and; 2) is often social in nature 44,85,86 . Importantly, since autistic individuals show differences in social information processing [87][88][89] , off-task thinking in autistic individuals may be associated with less task interference because of differences in the social features of their off-task thoughts. ...
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A study was conducted in which 133 participants performed 11 memory tasks (some thought to reflect working memory and some thought to reflect short-term memory), 2 tests of general fluid intelligence, and the Verbal and Quantitative Scholastic Aptitude Tests. Structural equation modeling suggested that short-term and working memories reflect separate but highly related constructs and that many of the tasks used in the literature as working memory tasks reflect a common construct. Working memory shows a strong connection to fluid intelligence, but short-term memory does not. A theory of working memory capacity and general fluid intelligence is proposed: The authors argue that working memory capacity and fluid intelligence reflect the ability to keep a representation active, particularly in the face of interference and distraction. The authors also discuss the relationship of this capability to controlled attention, and the functions of the prefrontal cortex.
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This chapter shows how immediate memory represents a distinct system or set of processes from long memory. Working memory (WM) was proposed as a dynamic system that enabled active maintenance of task-relevant information in support of the simultaneous execution of complex cognitive tasks. Working memory span tasks measure executive attention processes that are believed to be domain general and contribute to WM span performance irrespective of the skills or the stimuli involved. WM span tasks reflect primarily general executive processes and domain-specific rehearsal and storage processes. Thus, executive processes help maintain or recover access to the target items in the absence of focal attention and effective rehearsal procedures. WM capacity variation, which is driven largely by individual differences in executive attention processes, represents a web of inference across correlational and experimental studies.
Chapter
The Raven Progressive Matrices (RPM) tests measure “general cognitive ability” or, better, eductive, or “meaning making,” ability (Raven, Raven, & Court, 1998a,2000). The term “eductive” comes from the Latin root educere, which means, “to draw out.” The basic version of the test, known as the Standard Progressive Matrices (or SPM), consists of five sets of items of the kind shown in Figures 11.1 and 11.2. Within each set, the items become progressively more difficult. At the beginning of each set, the items, although easy again, follow a different logic. The sets in turn become progressively more difficult. The five sets offer those taking the test five opportunities to become familiar with the method of thought required to solve the problems. In addition to the Standard series, there is the Coloured Progressive Matrices (CPM), which is designed to spread the scores of children and less able adults and the Advanced Progressive Matrices (APM), developed to spread the scores of the top 20% of the population.
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Working memory - the ability to keep important information in mind while comprehending, thinking, and acting - varies considerably from person to person and changes dramatically during each person's life. Understanding such individual and developmental differences is crucial because working memory is a major contributor to general intellectual functioning. This volume offers an understanding variation in working memory by presenting comparisons of the leading theories. It incorporates views from the different research groups that operate on each side of the Atlantic, and covers working-memory research on a wide variety of populations, including healthy adults, children with and without learning difficulties, older adults, and adults and children with neurological disorders. Each research group explicitly addresses the same set of theoretical questions, from the perspective of both their own theoretical and experimental work, and from the perspective of relevant alternative approaches. Through these questions, each research group considers their overarching theory of working memory, specifies the critical sources of working memory variation according to their theory, reflects on the compatibility of their approach with other approaches, and assesses their contribution to general working-memory theory. This shared focus across chapters unifies the volume and highlights the similarities and differences among the various theories. Each chapter includes both a summary of research positions and a detailed discussion of each position.
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This chapter describes the nature of working memory capacity (WMC), and addresses the nature of WMC limitations, their effects on higher order cognitive tasks, their relationship to attention control and general fluid intelligence, and their neurological substrates. Much of work explores these issues in the context of individual differences in WMC and the cause of those individual differences. Measures of WMC are highly reliable and highly valid indicators of some construct of clear relevance to feral cognition. Macroanalytic studies have demonstrated that the construct reflected by WMC tasks has a strong relationship with gF above and beyond what these tasks share with simple span tasks. The conflict might also arise from stimulus representations of competing strength. This two-factor model fits with current thinking about the role of two brain structures: the prefrontal cortex as important to the maintenance of information in an active and easily accessible state and the anterior cingulate as important to the detection and resolution of conflict.