The role of task difficulty in theoretical accounts of mind wandering

Mind wandering on command

Three experiments (N = 336) examined whether participants can systematically adjust levels of mind wandering on command. Participants performed four blocks of the metronome response task (MRT) in which they pressed a spacebar in sync with a steady audio tone. Levels of spontaneous and deliberate mind wandering were measured using intermittent thought probes. Performance was indexed with MRT response time variability and omission errors. Each block started with instructions to mind wander either 20, 40, 60, or 80% of the time. Analysis was primarily conducted using linear mixed effects models. We found that mind wandering (spontaneous and deliberate), response time variability, and omission errors increased progressively with instructions to mind wander more and that these instruction-related changes were larger for deliberate than spontaneous mind wandering (Experiments 1-3). This pattern held regardless of whether participants' eyes were open or shut (Experiment 2). Relative to a control group receiving no commands to mind wander, instructing people to mind wander 60 or 80% of the time led to more deliberate mind wandering, and strikingly, asking people to mind wander 20% of the time led to less spontaneous mind wandering (Experiment 3). Our results suggest that individuals can titrate mind wandering experiences to roughly match instructed levels indicating that mind wandering can be manipulated through simple instructions. However, other features of the data suggest that such titration is effortful and may come with a cost to performance.

Conscious but not thinking-Mind-blanks during visuomotor tracking: An fMRI study of endogenous attention lapses

Attention lapses (ALs) are complete lapses of responsiveness in which performance is briefly but completely disrupted and during which, as opposed to microsleeps, the eyes remain open. Although the phenomenon of ALs has been investigated by behavioural and physiological means, the underlying cause of an AL has largely remained elusive. This study aimed to investigate the underlying physiological substrates of behaviourally identified endogenous ALs during a continuous visuomotor task, primarily to answer the question: Were the ALs during this task due to extreme mind-wandering or mind-blanks? The data from two studies were combined, resulting in data from 40 healthy non-sleep-deprived subjects (20M/20F; mean age 27.1 years, 20-45). Only 17 of the 40 subjects were used in the analysis due to a need for a minimum of two ALs per subject. Subjects performed a random 2-D continuous visuomotor tracking task for 50 and 20 min in Studies 1 and 2, respectively. Tracking performance, eye-video, and functional magnetic resonance imaging (fMRI) were recorded simultaneously. A human expert visually inspected the tracking performance and eye-video recordings to identify and categorise lapses of responsiveness as microsleeps or ALs. Changes in neural activity during 85 ALs (17 subjects) relative to responsive tracking were estimated by whole-brain voxel-wise fMRI and by haemodynamic response (HR) analysis in regions of interest (ROIs) from seven key networks to reveal the neural signature of ALs. Changes in functional connectivity (FC) within and between the key ROIs were also estimated. Networks explored were the default mode network, dorsal attention network, frontoparietal network, sensorimotor network, salience network, visual network, and working memory network. Voxel-wise analysis revealed a significant increase in blood-oxygen-level-dependent activity in the overlapping dorsal anterior cingulate cortex and supplementary motor area region but no significant decreases in activity; the increased activity is considered to represent a recovery-of-responsiveness process following an AL. This increased activity was also seen in the HR of the corresponding ROI. Importantly, HR analysis revealed no trend of increased activity in the posterior cingulate of the default mode network, which has been repeatedly demonstrated to be a strong biomarker of mind-wandering. FC analysis showed decoupling of external attention, which supports the involuntary nature of ALs, in addition to the neural recovery processes. Other findings were a decrease in HR in the frontoparietal network before the onset of ALs, and a decrease in FC between default mode network and working memory network. These findings converge to our conclusion that the ALs observed during our task were involuntary mind-blanks. This is further supported behaviourally by the short duration of the ALs (mean 1.7 s), which is considered too brief to be instances of extreme mind-wandering. This is the first study to demonstrate that at least the majority of complete losses of responsiveness on a continuous visuomotor task are, if not due to microsleeps, due to involuntary mind-blanks.

Gaze-Based Detection of Thoughts across Naturalistic Tasks Using a PSO-Optimized Random Forest Algorithm

One key aspect of the human experience is our ongoing stream of thoughts. These thoughts can be broadly categorized into various dimensions, which are associated with different impacts on mood, well-being, and productivity. While the past literature has often identified eye movements associated with a specific thought dimension (task-relatedness) during experimental tasks, few studies have determined if these various thought dimensions can be classified by oculomotor activity during naturalistic tasks. Employing thought sampling, eye tracking, and machine learning, we assessed the classification of nine thought dimensions (task-relatedness, freely moving, stickiness, goal-directedness, internal-external orientation, self-orientation, others orientation, visual modality, and auditory modality) across seven multi-day recordings of seven participants during self-selected computer tasks. Our analyses were based on a total of 1715 thought probes across 63 h of recordings. Automated binary-class classification of the thought dimensions was based on statistical features extracted from eye movement measures, including fixation and saccades. These features all served as input into a random forest (RF) classifier, which was then improved with particle swarm optimization (PSO)-based selection of the best subset of features for classifier performance. The mean Matthews correlation coefficient (MCC) values from the PSO-based RF classifier across the thought dimensions ranged from 0.25 to 0.54, indicating above-chance level performance in all nine thought dimensions across participants and improved performance compared to the RF classifier without feature selection. Our findings highlight the potential of machine learning approaches combined with eye movement measures for the real-time prediction of naturalistic ongoing thoughts, particularly in ecologically valid contexts.

Positively framing mind wandering does not increase mind wandering in older adults

Age-related differences in mind wandering are robust, with older adults reporting less mind wandering compared to younger adults. While several theories have been put forth to explain this difference, one view has received less attention than others. Specifically, age-related differences in mind wandering might occur because older adults are reluctant to report on their mind wandering. The aim of the current study was to explicitly test this hypothesis. Older and younger adults completed a go/no-go task with intermittent thought probes to assess mind wandering. In one condition, participants were provided with standard instructions about how to respond to questions about their thoughts. In a second condition, participants were provided with a positive framing of mind wandering. Mind wandering was assessed both subjectively (i.e., via thought probes) and objectively (i.e., using different behavioral measures from the go/no-go task). The results of the study suggest that positively framing mind wandering did not impact rates of mind wandering or objective indicators of mind wandering for older or younger adults. Older adults reported less mind wandering, regardless of condition, compared to younger adults. Older adults also had generally better performance on the go/no-go task compared to younger adults. Bayesian analyses suggested that the main effect of framing condition, although not significant in Frequentist terms, did provide moderate evidence of an overall effect on mind wandering rates. We interpret the results as evidence against the reluctance hypothesis, consistent with previous work.

Attention switching through text dissimilarity: a cognition research on fragmented reading behavior

People tend to obtain information through fragmented reading. However, this behavior itself might lead to distraction and affect cognitive ability. To address it, it is necessary to understand how fragmented reading behavior influences readers' attention switching. In this study, the researchers first collected online news that had 6 theme words and 60 sentences to compose the experimental material, then defined the degree of text dissimilarity, used to measure the degree of attention switching based on the differences in text content, and conducted an EEG experiment based on P200. The results showed that even after reading the fragmented text content with the same overall content, people in subsequent cognitive tasks had more working memory capacity, lower working memory load, and less negative impact on cognitive ability with the text content with lower text dissimilarity. Additionally, attention switching caused by differences in concept or working memory representation of text content might be the key factor affecting cognitive ability in fragmented reading behavior. The findings disclosed the relation between cognitive ability and fragmented reading and attention switching, opening a new perspective on the method of text dissimilarity. This study provides some references on how to reduce the negative impact of fragmented reading on cognitive ability on new media platforms.

How Do You Know If You Were Mind Wandering? Dissociating Explicit Memories of Off Task Thought From Subjective Feelings of Inattention

Mind wandering is a common experience in which your attention drifts away from the task at hand and toward task-unrelated thoughts. To measure mind wandering we typically use experience sampling and retrospective self-reports, which require participants to make metacognitive judgments about their immediately preceding attentional states. In the current study, we aimed to better understand how people come to make such judgments by introducing a novel distinction between explicit memories of off task thought and subjective feelings of inattention. Across two preregistered experiments, we found that participants often indicated they were "off task" and yet had no memory of the content of their thoughts-though, they were less common than remembered experiences. Critically, remembered experiences of mind wandering and subjective feelings of inattention differed in their behavioral correlates. In Experiment 1, we found that only the frequency of remembered mind wandering varied with task demands. In contrast, only subjective feelings of inattention were associated with poor performance (Experiments 1 and 2) and individual differences in executive functioning (Experiment 2). These results suggest that the phenomenology of mind wandering may differ depending on how the experiences are brought about (e.g., executive functioning errors versus excess attentional resources), and provide preliminary evidence of the importance of measuring subjective feelings of inattention when assessing mind wandering.

Examining the effect of expected test format and test difficulty on the frequency and mnemonic costs of mind wandering

Mind wandering, generally defined as task-unrelated thought, has been shown to constitute between 30% and 50% of individuals' thoughts during almost every activity in which they are engaged. Critically, however, previous research has shown that the demands of a given task can lead to either the up- or down-regulation of mind wandering and that engagement in mind wandering may be differentially detrimental to future memory performance depending on learning conditions. The goal of the current research was to gain a better understanding of how the circumstances surrounding a learning episode affect the frequency with which individuals engage in off-task thought, and the extent to which these differences differentially affect memory performance across different test formats. Specifically, while prior work has manipulated the conditions of encoding, we focused on the anticipated characteristics of the retrieval task, thereby examining whether the anticipation of later demands imposed by the expected test format/difficulty would influence the frequency or performance costs of mind wandering during encoding. Across three experiments, we demonstrate that the anticipation of future test demands, as modelled by expected test format/difficulty, does not affect rates of mind wandering. However, the costs associated with mind wandering do appear to scale with the difficulty of the test. These findings provide important new insights into the impact of off-task thought on future memory performance and constrain our understanding of the strategic regulation of inattention in the context of learning and memory.

Inside a child's mind: The relations between mind wandering and executive function across 8- to 12-year-olds

Mind wandering refers to attention oriented away from a current task to thoughts unrelated to the task, often resulting in poorer task performance. In adults, mind wandering is a common occurrence that is associated with the executive function facets of inhibitory control, working memory capacity, and task switching. In this study, we cross-sectionally examined whether the relation between mind wandering frequency and executive function changes across 8- to 12-year-old children. A total of 100 children completed three tasks targeting three facets of executive function. During each task, participants were occasionally prompted to report whether they were focused on the task or mind wandering. In examining the association between mind wandering frequency and executive function across the age range, we found a significant interaction between age and working memory capacity, such that it was negatively associated with mind wandering frequency only in 12-year-olds. This interaction with age was not significant for inhibitory control and task switching ability. Our results revealed differential relations between mind wandering and executive function facets, which vary with developmental stages. These findings highlight potential areas for targeted intervention to improve mind wandering regulation in children.

Comparing attentional disengagement between Prolific and MTurk samples

Attention often disengages from primary tasks in favor of secondary tasks (i.e., multitasking) and task-unrelated thoughts (i.e., mind wandering). We assessed whether attentional disengagement, in the context of a cognitive task, can substantially differ between samples from commonly used online participant recruitment platforms, Prolific and Mechanical Turk (MTurk). Initially, eighty participants were recruited through Prolific to perform an attention task in which the risk of losing points for errors was varied (high risk = 80% chance of loss, low risk = 20% chance of loss). Attentional disengagement was measured via task performance along with self-reported mind wandering and multitasking. On Prolific, we observed surprisingly low levels of disengagement. We then conducted the same experiment on MTurk. Strikingly, MTurk participants exhibited more disengagement than Prolific participants. There was also an interaction between risk and platform, with the high-risk group exhibiting less disengagement, in terms of better task performance, than the low-risk group, but only on MTurk. Platform differences in individual traits related to disengagement and relations among study variables were also observed. Platform differences persisted, but were smaller, after increasing MTurk reputation criteria and remuneration in a second experiment. Therefore, recruitment platform and recruitment criteria could impact results related to attentional disengagement.

Aging and task design shape the relationship between response time variability and emotional response inhibition

Intra-individual variability (IIV) refers to within-person variability in behavioural task responses. Several factors can influence IIV, including aging and cognitive demands. The present study investigated effects of aging on IIV of response times during executive functioning tasks. Known age-related differences in cognitive control and emotion processing motivated evaluating how varying the design of emotional response inhibition tasks would influence IIV in older and younger adults. We also tested whether IIV predicted inhibitory control across task designs and age groups. Older and younger adults (N = 237) completed one of three versions of a stop-signal task, which all displayed happy, fearful, or neutral faces in Stop trials. An independent group of older and younger adults (N = 80) completed a go/no-go task also employing happy, fearful and neutral faces. Results showed older adults had more consistent responses (lower IIV) than younger adults in the stop-signal task, but not the go/no-go task. Lower IIV predicted more efficient emotional response inhibition for fear faces in the stop-signal task, but only when attention to emotion was task-relevant. Collectively, this study clarifies effects of aging and task design on IIV and illustrates how task design impacts the relationship between IIV and emotional response inhibition in younger and older adults.

Task-based differences in brain state dynamics and their relation to cognitive ability

Transient patterns of interregional connectivity form and dissipate in response to varying cognitive demands. Yet, it is not clear how different cognitive demands influence brain state dynamics, and whether these dynamics relate to general cognitive ability. Here, using functional magnetic resonance imaging (fMRI) data, we characterised shared, recurrent, global brain states in 187 participants across the working memory, emotion, language, and relation tasks from the Human Connectome Project. Brain states were determined using Leading Eigenvector Dynamics Analysis (LEiDA). In addition to the LEiDA-based metrics of brain state lifetimes and probabilities, we also computed information-theoretic measures of Block Decomposition Method of complexity, Lempel-Ziv complexity and transition entropy. Information theoretic metrics are notable in their ability to compute relationships amongst sequences of states over time, compared to lifetime and probability, which capture the behaviour of each state in isolation. We then related task-based brain state metrics to fluid intelligence. We observed that brain states exhibited stable topology across a range of numbers of clusters (K = 2:15). Most metrics of brain state dynamics, including state lifetime, probability, and all information theoretic metrics, reliably differed between tasks. However, relationships between state dynamic metrics and cognitive abilities varied according to the task, the metric, and the value of K, indicating that there are contextual relationships between task-dependant state dynamics and trait cognitive ability. This study provides evidence that the brain reconfigures across time in response to cognitive demands, and that there are contextual, rather than generalisable, relationships amongst task, state dynamics, and cognitive ability.

Neural correlates of paired associate recollection: A neuroimaging meta-analysis

Functional neuroimaging data on paired associate recollection have expanded over the years, raising the need for an integrative understanding of the literature. The present study performed a quantitative meta-analysis of the data to fulfill that need. The meta-analysis focused on the three most widely used types of activation contrast: Hit > Miss, Intact > Rearranged, and Memory > Perception. The major results were as follows. First, the Hit > Miss contrast mainly involved regions in the default mode network (DMN)/medial temporal lobe (MTL), likely reflecting a greater amount of retrieved information during the Hit than Miss trials. Second, the Intact > Rearranged contrast mainly involved regions in the DMN/MTL, supporting the view that rejecting recombination foils is based on familiarity with the component parts in the absence of recollection. Third, the Memory > Perception contrast primarily involved regions in the frontoparietal control network, likely reflecting the greater demands on controlled processing during Memory than Perception conditions. Fourth, the subcortical clusters included the amygdala, caudate nucleus/putamen, and mediodorsal thalamus regions, suggesting that these regions are components of the neural circuits supporting associative recollection. Finally, comparisons with previous meta-analyses suggested that associative recollection involves the DMN regions more strongly than source recollection but less strongly than subjective recollection. In conclusion, this study contributes uniquely to the growing literature on paired associate recollection by clarifying the convergent findings and differences among studies.

Does framing an assignment as involving one or multiple components influence subjective experiences of attentional engagement?

Across two studies, we explored whether framing an assignment as involving either multitasking or single-tasking (Srna et al. Psychol Sci 29(12):1942-1955, 2018) leads to differences in both subjective ratings of attentional engagement (i.e., depth of concentration and attentional control) and performance during the assignment. In Experiment 1, we manipulated task framing in the context of an assignment in which participants (N_collected = 238) simultaneously completed a word-search and an anagram task (Srna et al. Psychol Sci 29(12):1942-1955, 2018). While we replicated prior findings that participants who receive multitasking instructions perform better than those who receive single-tasking instructions, we did not find any influence of task framing on participants' subjective evaluations of their attentional engagement. Exploratory analyses, however, revealed that regardless of group assignment, those who believed they were multitasking reported greater levels of attentional engagement than those who believed they were single-tasking. In Experiment 2 (N_collected = 238), task framing was varied in the context of the 2-back task (Kirchner J Exp Psychol 55(4): 352, 1958). Unexpectedly, we found that, relative to participants who received single-tasking instructions, those who received multitasking instructions reported exerting less attentional control over their thoughts and showed a greater number of incorrect responses to non-target trials on the 2-back. Taken together, the results do not support a straightforward conclusion regarding the influence of task framing on either subjective reports of attentional engagement or task performance. Nevertheless, they provide insight into our understanding of the role of task framing in contexts ranging from commonly performed real-world tasks to typical laboratory tasks.

Mind wandering probes as a source of mind wandering depends on attention control demands

Mind wandering is a topic of great interest in many areas, but as with all psychological constructs, the interpretation of experimental results might depend on the way it is measured. A common way of measuring mind wandering in experiments is with self-report thought probes. An important question with this methodology is if the probe itself may be influencing participants' mind wandering. Previous research suggests that multiple thought probes throughout a task may lead to less mind wandering. However, in some studies (e.g., Schubert et al, 2019) the probes occurred during a recorded lecture video and in the others (e.g., Seli et al, 2016) the probes occurred during a sustained attention to response task (SART). What is missing in the current literature is a comparison of the effect the number of thought probes has on mind wandering during a task that requires a greater deal of thought control throughout the task to perform well, such as a complex span task or working memory. As such, in the two experiments presented here we randomly assigned participants to one of four conditions. Conditions contained a minimum of one and a maximum of six probes. In the first experiment, we found that participants who had received fewer probes mind wandered less during an operation span task, supporting our hypothesis. In the second experiment, we found that participants who had received fewer probes mind wandered more during a video lecture. The results suggest that thought probes interact with attentional control demands to influence mind wandering.

A vigilance decrement comes along with an executive control decrement: Testing the resource-control theory

A decrease in vigilance over time is often observed when performing prolonged tasks, a phenomenon known as “vigilance decrement.” The present study aimed at testing some of the critical predictions of the resource-control theory about the vigilance decrement. Specifically, the theory predicts that the vigilance decrement is mainly due to a drop in executive control, which fails to keep attentional resources on the external task, thus devoting a larger number of resources to mind-wandering across time-on-task. Datasets gathered from a large sample size (N = 617) who completed the Attentional Networks Test for Interactions and Vigilance—executive and arousal components in Luna, Roca, Martín-Arévalo, and Lupiáñez (2021b, Behavior Research Methods, 53[3], 1124–1147) were reanalyzed to test whether executive control decreases across time in a vigilance task and whether the vigilance decrement comes along with the decrement in executive control. Vigilance was examined as two dissociated components: executive vigilance, as the ability to detect infrequent critical signals, and arousal vigilance, as the maintenance of a fast reaction to stimuli. The executive control decrement was evidenced by a linear increase in the interference effect for mean reaction time, errors, and the inverse efficiency score. Critically, interindividual differences showed that the decrease in the executive—but not in the arousal—component of vigilance was modulated by the change in executive control across time-on-task, thus supporting the predictions of the resource-control theory. Nevertheless, given the small effect sizes observed in our large sample size, the present outcomes suggest further consideration of the role of executive control in resource-control theory.

Influencing factors of learning sustained attention for nursing students in online settings: A structural equation model

BACKGROUND

Sustained attention is a key variable affecting nursing students' academic performance during online learning process. However, factors contributing to sustained attention remain to be determined.

AIMS

To analyze the path relationships among the influencing factors for nursing students' sustained attention in online learning using a structural equation model.

DESIGN

A cross-sectional survey was administered.

METHODS

Nursing students from 35 nursing schools in China were invited to participate in this survey study. Once participating in nursing programs and receiving online learning, they were eligible for the study. The data were collected online via the Questionnaire Star platform from March 29 to April 19, 2020. A structural equation modelling (SEM) approach was utilized to analyze the relationships between sustained attention and influencing factors (situational interest, anxiety, cognitive load, technology efficacy and professional identity). Furthermore, multi-group SEM analysis was conducted to examine whether the model equally fitted nursing students in different levels of programs.

RESULTS

A total of 1089 nursing students completed the questionnaires. The majority (77.3%) were female and the mean age (SD) was 21.9 (4.4) years. A half (50.3%) were enrolled in the undergraduate programs. Results suggested that situational interest (β = 0.19, 95% CI: 0.14, 0.24) and anxiety (β = -0.70, 95% CI: -0.76, -0.64) directly affected sustained attention. Both technology efficacy (β = 0.22, 95% CI: 0.15, 0.28) and professional identity (β = 0.20, 95% CI: 0.14, 0.26) had conferred indirect effects on sustained attention through academic emotions (i.e., situational interest and anxiety). The cognitive load directly affected sustained attention (β = -0.15, 95% CI: -0.20, -0.09) and indirectly affected sustained attention through anxiety (β = -0.32, 95% CI: -0.37, -0.26). There was no significant difference in the model fit among nursing students in various programs, including diplomatic, associate and bachelor's degree and above programs (∆χ2 = 27.228, p = 0.611).

CONCLUSIONS

Technology efficacy, professional identity, situational interest, anxiety and cognitive load are identified as the main elements affecting nursing students' sustained attention. This model is equally suitable for nursing students in different levels of nursing programs. During the process of online learning, students' attributes, emotions and cognition should be considered to help students achieve learning goals in nursing education.

Degraded States of Engagement in Air Traffic Control

Safety studies have identified attention as a recurring cause of incidents and accidents in air traffic control. However, little is known of the precise attentional states that lead to degraded ATC performance. Therefore, we surveyed 150 French en route air traffic controllers on the causes of and impacts on perceived cooperation, safety, and performance of seven degraded attentional states from the literature: task-related and task-unrelated mind wandering, mental overload, inattentional deafness and blindness, attentional entropy, and perseveration. Our findings indicated that task-related and task-unrelated mind wandering were the most prevalent but had the least impact on perceived safety. Conversely, inattentional blindness and attentional entropy were less reported but were considered a significant safety concern, while inattentional deafness affected cooperation. Most states were experienced in workload levels consistent with the literature. However, no other factor such as shift work was identified as a cause of these states. Overall, these findings suggest that “attention” is not a specific enough subject for ATC, as attentional issues can occur in various conditions and have different impacts. As far as safety is concerned, inattentional blindness should be the prime target for further research. Neuroergonomics in particular could help develop dynamic countermeasures to mitigate its impact.

Catching Wandering Minds with Tapping Fingers: Neural and Behavioral Insights into Task-unrelated Cognition

When the human mind wanders, it engages in episodes during which attention is focused on self-generated thoughts rather than on external task demands. Although the sustained attention to response task is commonly used to examine relationships between mind wandering and executive functions, limited executive resources are required for optimal task performance. In the current study, we aimed to investigate the relationship between mind wandering and executive functions more closely by employing a recently developed finger-tapping task to monitor fluctuations in attention and executive control through task performance and periodical experience sampling during concurrent functional magnetic resonance imaging (fMRI) and pupillometry. Our results show that mind wandering was preceded by increases in finger-tapping variability, which was correlated with activity in dorsal and ventral attention networks. The entropy of random finger-tapping sequences was related to activity in frontoparietal regions associated with executive control, demonstrating the suitability of this paradigm for studying executive functioning. The neural correlates of behavioral performance, pupillary dynamics, and self-reported attentional state diverged, thus indicating a dissociation between direct and indirect markers of mind wandering. Together, the investigation of these relationships at both the behavioral and neural level provided novel insights into the identification of underlying mechanisms of mind wandering.

A wandering mind is a forgetful mind: A systematic review on the influence of mind wandering on episodic memory encoding

In the last two decades, mind wandering has received increased interest in the field of cognitive neuroscience. Despite the strong links between attention and memory, its effect on episodic memory encoding has only been recently investigated. To date, there is no systematic synthesis on this link. Following the PRISMA guidelines, a systematic review of the literature on mind wandering and episodic memory was conducted. Five online bibliographic databases (PsycNET, Pubmed, ScienceDirect, Web of Science and Taylor & Francis) were searched. Twenty-four studies were eligible for the current review and were compared based on their methodologies and results. Overall, stimulus-independent mind wandering appeared to be a reliable negative factor influencing the encoding of both words and audio-visual stimuli. However, a few studies pointed out a potential positive effect of stimulus-dependent mind wandering on episodic memory encoding. Theoretical explanations of these results, the limits of existing investigations and avenues for potential future research are discussed.

Propensity to intentional and unintentional mind-wandering differs in arousal and executive vigilance tasks

We typically observe a decrement in vigilance with time-on-task, which favors the propensity for mind-wandering, i.e., the shifting of attention from the task at hand to task-unrelated thoughts. Here, we examined participants' mind-wandering, either intentional or unintentional, while performing vigilance tasks that tap different components of vigilance. Intentional mind-wandering is expected mainly when the arousal component is involved, whereas unintentional mind-wandering is expected mainly in tasks involving the executive component. The Psychomotor Vigilance Task (PVT) assessed the arousal component, whereas the Sustained Attention to Response task (SART) assessed the executive component of vigilance. The two types of mind-wandering were probed throughout task execution. The results showed that the overall rate of mind-wandering was higher in the PVT than in the SART. Intentional mind-wandering was higher with the PVT than with the SART, whereas unintentional mind-wandering was higher with the SART than with the PVT. Regarding mind-wandering as a function of vigilance decrement with time-on-task, unintentional mind-wandering in the PVT increased between blocks 1 and 2 and then stabilized, whereas a progressive increase was observed in the SART. Regarding intentional mind-wandering, a progressive increase was only observed in the SART. The differential patterns of intentional and unintentional mind-wandering in both tasks suggest that, intentional mind wandering occurs mainly in arousal tasks in which propensity to mind-wander has little impact on task performance. However, unintentional mind-wandering occurs mainly in executive tasks as a result of a failure of cognitive control, which promotes attentional resources to be diverted toward mind-wandering. These results are discussed in the context of the resource-control model of mind-wandering.

Straying Off Course: The Negative Impact of Mind Wandering on Fine Motor Movements

The goal of this study was to examine how various degrees of perceptual decoupling during mind wandering affect fine motor control. We hypothesized that while under normal circumstances attention ensures an optimal control strategy that leads to accurate motor performance, during mind wandering the process becomes disrupted. In this study, we conducted a computer-based experiment with a tracking task. During mind wandering, motor movements were more erratic and less variable, indicative of reduced attentiveness to the continuous demands of the external task. Importantly, the deeper the reported mind wandering, the less accurate and less variable were the mouse movements, suggesting that perceptual decoupling may take place in a graded rather than in an all or nothing manner. Greater movement intermittency was associated with higher tracking accuracy, suggesting that more corrective movements toward a moving target were functional to task performance. Moreover, greater variance in velocity was negatively correlated with tracking accuracy. These findings suggest that periods of inattention to the task have a negative impact on fine motor movement control by making behavior unpredictable, providing support for the idea that there is a decoupling of sensory-motor processes during mind wandering.

Attention need not always apply: Mind wandering impedes explicit but not implicit sequence learning

According to the attentional resources account, mind wandering (or "task-unrelated thought") is thought to compete with a focal task for attentional resources. Here, we tested two key predictions of this account: First, that mind wandering should not interfere with performance on a task that does not require attentional resources; second, that as task requirements become automatized, performance should improve and depth of mind wandering should increase. Here, we used a serial reaction time task with implicit- and explicit-learning groups to test these predictions. Providing novel evidence for the attentional resource account's first prediction, results indicated that depth of mind wandering was negatively associated with learning in the explicit, but not the implicit, group, indicating that mind wandering is associated with impaired explicit, but not implicit, learning. Corroborating the attention resource account's second prediction, we also found that, overall, performance improved while at the same time depth of mind wandering increased. From an implicit-learning perspective, these results are consistent with the claim that explicit learning is impaired under attentional load, but implicit learning is not. Data, analysis code, manuscript preparation code, and pre-print available at osf.io/qzry7/.

Losing Money and Motivation: Effects of Loss Incentives on Motivation and Metacognition in Younger and Older Adults

Incentives are usually expected to increase motivation and cognitive control and to thereby improve performance. A small but growing number of studies have begun to investigate whether the effects of incentive on cognitive performance differ for younger vs. older adults. Most have used attention and cognitive control paradigms, trial-wise implementation of incentive condition, and gain incentives (reward), with only a very few investigating the effects of loss incentives. The present study takes a complementary approach: We tested younger and older adults in a working memory paradigm with loss incentives implemented session-wide (between subjects). We also included self-report measures to ask how loss incentive affected participants’ perceptions of the mental demand of the task, as well as their perceived effort, frustration, motivation, distraction, and metacognitive judgments of how well they had performed. This allowed us to test the disparate predictions of different theoretical views: the intuitive hypothesis that incentive should increase motivation and performance, the motivational shift proposal that older adults are especially motivated to avoid losses (Freund and Ebner, 2005), a heuristic “positivity effect” perspective that older adults ignore losses (Brassen et al., 2012; Williams et al., 2017), and a more nuanced view that suggests that when negative information is unavoidable and increases perceived costs, older adults may instead disengage from the situation (Charles, 2010; Hess, 2014). The results seemed most consistent with the more nuanced view of the positivity effect. While neither group showed incentive-related performance differences, both younger and older adults reported greater perceived demand and frustration under loss incentive, especially in the most challenging conditions. Loss incentive increased the accuracy of immediate metacognitive judgments, but reduced the accuracy of later, more global judgments of competency for older adults. Self-report measures suggested that the loss incentive manipulation was distracting to young adults and demotivating for older adults. The results suggest a need for caution in generalizing from existing studies to everyday life, and that additional studies parameterizing critical aspects of task design and incentive manipulation are needed to fully understand how incentives affect cognition and motivation in younger and older adults.

Word up - Experiential and neurocognitive evidence for associations between autistic symptomology and a preference for thinking in the form of words

Autism symptomology has a profound impact on cognitive and affective functioning, yet we know relatively little about how it shapes patterns of ongoing thought. In an exploratory study in a large population of neurotypical individuals, we used experience sampling to characterise the relationship between ongoing cognition and self-reported autistic traits. We found that with increasing autistic symptom score, cognition was characterised by thinking more in words than images. Analysis of structural neuroimaging data found that autistic traits linked to social interaction were associated with greater cortical thickness in a region of lingual gyrus (LG) within the occipital cortex. Analysis of resting state functional neuroimaging data found autistic traits were associated with stronger connectivity between the LG and a region of motor cortex. Importantly, the strength of connectivity between the LG and motor cortex moderated the link between autistic symptoms and thinking in words: individuals showing higher connectivity showed a stronger association between autistic traits and thinking in words. Together we provide behavioural and neural evidence linking autistic traits to the tendency to think in words which may be rooted in underlying cortical organisation. These observations lay the groundwork for research into the form and content of self-generated thoughts in individuals with the established diagnosis of autism.

The Sound of Inattention: Predicting Mind Wandering with Automatically Derived Features of Instructor Speech

Lecturing in a classroom environment is challenging - instructors are tasked with maintaining students’ attention for extended periods of time while they are speaking. Previous work investigating the influence of speech on attention, however, has not yet been extended to instructor speech in live classroom lectures. In the current study, we automatically extracted acoustic features from live lectures to determine their association with rates of classroom mind-wandering (i.e., lack of student attention). Results indicated that five speech features reliably predicted classroom mind-wandering rates (Harmonics-to-Noise Ratio, Formant 1 Mean, Formant 2 Mean, Formant 3 Mean, and Jitter Standard Deviation). These speaker correlates of mind-wandering may be a foundation for developing a system to provide feedback in real-time for lecturers online and in the classroom. Such a system may prove to be highly beneficial in developing real-time tools to retain student attention, as well as informing other applications outside of the classroom.