Individuals With High Working Memory Capacity Are Less Susceptible to Mind-Wandering: Evidence From Cross- Modal Oddball Tasks

2014 ◽  
Author(s):  
Anatole Nostl
2019 ◽  
Author(s):  
Haley Goller ◽  
Jonathan Britten Banks ◽  
Matt Ethan Meier

Klein and Boals (2001, Experiments 1 and 2) found that working memory capacity correlated negatively with perceived negative life event stress and speculated the relation may be driven by thoughts produced from these experiences. Here, we sought to replicate the association between working memory capacity and perceived negative life experience and to assess potential mediators of this association such as mind wandering propensity, rumination propensity, and the sum of negatively-valenced mind wandering reports. In this preregistered replication and extension study, with data collected from three hundred and fifty-six subjects (ns differ among analyses), we found no evidence suggesting that perceived negative life stress is associated with working memory capacity. Additionally, we found evidence consistent with the claim that negatively-valenced mind wandering is uniquely detrimental to cognitive task performance, but we highlight a potential confound that may account for this association that should be addressed in future work.


2017 ◽  
Vol 28 (9) ◽  
pp. 1271-1289 ◽  
Author(s):  
Michael J. Kane ◽  
Georgina M. Gross ◽  
Charlotte A. Chun ◽  
Bridget A. Smeekens ◽  
Matt E. Meier ◽  
...  

Undergraduates ( N = 274) participated in a weeklong daily-life experience-sampling study of mind wandering after being assessed in the lab for executive-control abilities (working memory capacity; attention-restraint ability; attention-constraint ability; and propensity for task-unrelated thoughts, or TUTs) and personality traits. Eight times a day, electronic devices prompted subjects to report on their current thoughts and context. Working memory capacity and attention abilities predicted subjects’ TUT rates in the lab, but predicted the frequency of daily-life mind wandering only as a function of subjects’ momentary attempts to concentrate. This pattern replicates prior daily-life findings but conflicts with laboratory findings. Results for personality factors also revealed different associations in the lab and daily life: Only neuroticism predicted TUT rate in the lab, but only openness predicted mind-wandering rate in daily life (both predicted the content of daily-life mind wandering). Cognitive and personality factors also predicted dimensions of everyday thought other than mind wandering, such as subjective judgments of controllability of thought. Mind wandering in people’s daily environments and TUTs during controlled and artificial laboratory tasks have different correlates (and perhaps causes). Thus, mind-wandering theories based solely on lab phenomena may be incomplete.


2020 ◽  
Vol 27 (4) ◽  
pp. 758-767
Author(s):  
Alexander Soemer ◽  
Ulrich Schiefele

2020 ◽  
Author(s):  
Matt Ethan Meier

Forster and Lavie (2014, 2016) found that task-irrelevant distraction correlated positively with a measure of mind-wandering and a report of Attention Deficit Hyperactivity Disorder (ADHD) symptomology. Based primarily on these results, Forster and Lavie claimed to establish an attention-distractibility trait. Here, I sought to replicate the associations among measures of task-irrelevant distraction, mind wandering, and ADHD symptomology, and to test if these associations could be distinguished from associations with working memory capacity and task-relevant distraction. With data collected from two hundred and twenty-six subjects (ns differ among analyses), the results from the current study suggest that the measure of task-irrelevant distraction is not (or only very weakly) associated with measures of mind wandering (measured both with a stand-alone questionnaire and in-task thought probes) and ADHD symptomology. Additionally, the measure of irrelevant-distraction exhibited low internal consistency suggesting that (as measured) it is not capable of being a an individual differences measure. [Preregistration, data, analysis scripts and output are available via the Open Science Framework: https://osf.io/bhs24/].


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