Mind-wandering

Last updated

Mind-wandering is loosely defined as thoughts that are not produced from the current task. Mind-wandering consists of thoughts that are task-unrelated and stimulus-independent. [1] [2] This can be in the form of three different subtypes: positive constructive daydreaming, guilty fear of failure, and poor attentional control. [3]

Contents

In general, a folk explanation of mind-wandering could be described as the experience of thoughts not remaining on a single topic for a long period of time, particularly when people are engaged in an attention-demanding task. [4]

One context in which mind-wandering often occurs is driving. This is because driving under optimal conditions becomes an almost automatic activity that can require minimal use of the task positive network, [5] the brain network that is active when one is engaged in an attention-demanding activity. In situations where vigilance is low, people do not remember what happened in the surrounding environment because they are preoccupied with their thoughts. This is known as the decoupling hypothesis. [6]

Studies using event-related potentials (ERPs) have quantified the extent that mind-wandering reduces the cortical processing of the external environment. When thoughts are unrelated to the task at hand, the brain processes both task-relevant and unrelated sensory information in a less detailed manner. [7] [8] [9]

Mind-wandering appears to be a stable trait of people and a transient state. Studies have linked performance problems in the laboratory [10] and in daily life. [11] Mind-wandering has been associated with possible car accidents. [12] Mind-wandering is also intimately linked to states of affect. Studies indicate that task-unrelated thoughts are common in people with low or depressed mood. [13] [14] Mind-wandering also occurs when a person is intoxicated via the consumption of alcohol. [15]

Studies have demonstrated a prospective bias to spontaneous thought because individuals tend to engage in more future than past related thoughts during mind-wandering. [16] The default mode network is thought to be involved in mind-wandering and internally directed thought, [17] although recent work has challenged this assumption. [18]

History

The history of mind-wandering research dates back to 18th century England. British philosophers struggled to determine whether mind-wandering occurred in the mind or if an outside source caused it. In 1921, Varendonck published The Psychology of Day-Dreams, in which he traced his "'trains of thoughts' to identify their origins, most often irrelevant external influences". [19] [ page needed ]

Wallas (1926) considered mind-wandering as an important aspect of his second stage of creative thought – incubation. [20] [ page needed ] It was not until the 1960s that the first documented studies were conducted on mind-wandering. [21] John Antrobus and Jerome L. Singer developed a questionnaire and discussed the experience of mind-wandering. [22]

This questionnaire, known as the Imaginal Processes Inventory (IPI), provides a trait measure of mind-wandering and it assesses the experience on three dimensions: how vivid the person's thoughts are, how many of those thoughts are guilt- or fear-based, and how deep into the thought a person goes. As technology continues to develop, psychologists are starting to use functional magnetic resonance imaging to observe mind-wandering in the brain and reduce psychologists' reliance on verbal reports. [21]

Research methods

Jonathan Smallwood and colleagues popularized the study of mind-wandering using thought sampling and questionnaires. [6] Mind-wandering is studied using experience sampling either online or retrospectively. One common paradigm within which to study mind-wandering is the SART (sustained attention to response task). [10]

In a SART task there are two categories of words. One of the categories are the target words. In each block of the task a word appears for about 300 ms, there will be a pause and then another word. When a target word appears the participant hits a designated key. About 60% of the time after a target word a thought probe will appear to gauge whether thoughts were on task. If participants were not engaged in the task they were experiencing task-unrelated thoughts (TUTs), signifying mind-wandering. [4] [23] [ volume needed ][ page needed ]

Another task to judge TUTs is the experience sampling method (ESM). Participants carry around a personal digital assistant (PDA) that signals several times a day. At the signal a questionnaire is provided. The questionnaire questions vary but can include: (a) whether or not their minds had wandered at the time of the (b) what state of control they had over their thoughts and (c) about the content of their thoughts. [24]

Questions about context are also asked to measure the level of attention necessary for the task. [24] One process used was to give participants something to focus on and then at different times ask them what they were thinking about. Those who were not thinking about what was given to them were considered "wandering". Another process was to have participants keep a diary of their mind-wandering. Participants are asked to write a brief description of their mind-wandering and the time in which it happened. [25] [26] These methodologies are improvements on past methods that were inconclusive.

Neuroscience

Mind-wandering is important in understanding how the brain produces what William James called the train of thought and the stream of consciousness. This aspect of mind-wandering research is focused on understanding how the brain generates the spontaneous and relatively unconstrained thoughts that are experienced when the mind wanders. [27] [28]

One candidate neural mechanism for generating this aspect of experience is a network of regions in the medial frontal and medial parietal cortex known as the default network. This network of regions is highly active even when participants are resting with their eyes closed [29] suggesting a role in generating spontaneous internal thoughts. [27] [30] One relatively controversial result is that periods of mind-wandering are associated with increased activation in both the default and executive system [28] a result that implies that mind-wandering may often be goal oriented. [16] [31] [32] [33]

It is commonly assumed that the default mode network is known to be involved during mind-wandering. The default mode network is active when a person is not focused on the outside world and the brain is at wakeful rest because experiences such as mind-wandering and daydreaming are common in this state. [16]

It is also active when the individual is thinking about others, thinking about themselves, remembering the past, and planning for the future. [17] However, recent studies show that signals in the default mode network provide information regarding patterns of detailed experience in active tasks states. [34] This data suggests that the relationship between the default mode network and mind-wandering remains a matter of conjecture.

In addition to neural models, computational models of consciousness based on Bernard Baars' Global Workspace theory [35] [ page needed ] [36] [ page needed ] suggest that mind-wandering, or "spontaneous thought" may involve competition between internally and externally generated activities attempting to gain access to a limited capacity central network. [37]

Individual differences

There are individual differences in some aspects of mind-wandering between older and younger adults. [38] [39] [40] Although older adults reported less mind-wandering, these older participants showed the same amount of mind-wandering as younger adults. There were also differences in how participants responded to an error.

After an error, older adults took longer to return focus back to the task when compared with younger adults. It is possible that older adults reflect more about an error due to conscientiousness. [39] [40] Research has shown that older adults tend to be more conscientious than young adults. [39] Personality can also affect mind-wandering. [38] [39] [40]

People that are more conscientious are less prone to mind-wandering. Being more conscientious allows people to stay focused on the task better which causes fewer instances of mind-wandering. Differences in mind-wandering between young and older adults may be limited because of this personality difference.

Mental disorders such as ADHD (attention deficit hyperactivity disorder) are linked to mind-wandering. Seli et al. (2015) found that spontaneous mind-wandering, the uncontrolled or unwarranted shifting of attention, is a characteristic of those who have ADHD. However, they note that deliberate mind-wandering, or the purposeful shifting of one's attention to different stimuli, is not a consistent characteristic of having ADHD. [41]

Franklin et al. (2016) arrived at similar conclusions; they had college students take multiple psychological evaluations that gauge ADHD symptom strength. Then, they had the students read a portion of a general science textbook. At various times and at random intervals throughout their reading, participants were prompted to answer a question that asked if their attention was either on task, slightly on task, slightly off task, or off task prior to the interruption.

In addition, they were asked if they were aware, unaware, or neither aware nor unaware of their thoughts as they read. Lastly, they were tasked to press the space bar if they ever caught themselves mind-wandering. For a week after these assessments, the students answered follow-up questions that also gauged mind-wandering and awareness.

This study's results revealed that students with higher ADHD symptomology showed less task-oriented control than those with lower ADHD symptomology. Additionally, those with lower ADHD symptomology were more likely to engage in useful or deliberate mind-wandering and were more aware of their inattention. One of the strengths of this study is that it was performed in both lab and daily-life situations, giving it broad application. [42]

Mind-wandering in and of itself is not necessarily indicative of attention deficiencies. Studies show that humans typically spend 25-50% of their time thinking about thoughts irrelevant to their current situations. [43]

In many disorders it is the regulation of the overall amount of mind-wandering that is disturbed, leading to increased distractibility when performing tasks. [44] [45] Additionally, the contents of mind-wandering is changed; thoughts can be more negative and past-oriented, particularly unstable or self-centered. [46] [47] [48]

Working memory

Recent research has studied the relationship between mind-wandering and working memory capacity. [38] Working memory capacity represents personal skill to have a good command of individual's mind.[ clarification needed ] [49] This relationship[ clarification needed ] requires more research to understand how they influence one another. It is possible that mind-wandering causes lower performance on working memory capacity tasks or that lower working memory capacity causes more instances of mind-wandering. [50]

Only the second of these has actually been proven. Reports[ who? ] of task-unrelated thoughts are less frequent when performing[ who? ] tasks that do not demand continuous use of working memory than tasks which do. [16] Moreover, individual difference studies[ clarification needed ] demonstrate that when tasks are non-demanding, high levels of working memory capacity are associated with more frequent reports of task-unrelated thinking [51] [52] especially when it is focused on the future. [53] By contrast, when performing tasks that demand continuous attention, high levels of working memory capacity are associated with fewer reports of task-unrelated thoughts. [11]

Together these data are consistent with the claim that working memory capacity helps sustain a train of thought whether it is generated in response to a perceptual event or is self-generated by the individual. Therefore, under certain circumstances, the experience of mind-wandering is supported by working memory resources. [54] Working memory capacity variation in individuals has been proven to be a good predictor of the natural tendency for mind-wandering to occur during cognitively demanding tasks and various activities in daily life. [24] [55] [56]

Mind-wandering sometimes occurs as a result of saccades, which are the movements of one's eyes to different visual stimuli. In an antisaccade task, for example, subjects with higher working memory capacity scores resisted looking at the flashing visual cue better than participants with lower working memory capacity. [57] Higher working memory capacity is associated with fewer saccades toward environmental cues. [58] [59]

Mind-wandering has been shown to be related to goal orientation; people with higher working memory capacity keep their goals more accessible than those who have lower working memory capacity, thus allowing these goals to better guide their behavior and keep them on task. [32] [57] [60]

Another study compared differences in speed of processing information between people of different ages. [33] [38] The task they used was a go/no go task where participants responded if a white arrow moved in a specific direction but did not respond if the arrow moved in the other direction or was a different color. In this task, children and young adults showed similar speed of processing but older adults were significantly slower.

Speed of processing information affects how much information can be processed in working memory. [33] [61] People with faster speed of processing can encode information into memory better than people that have slower speed of processing. This can lead to memory of more items because more things can be encoded.

Retention

Mind-wandering affects retention where working memory capacity is directly related to reading comprehension levels. Participants with lower working memory capacity perform worse on comprehension-based tests. [38] [51]

When investigating how mind-wandering affects retention of information, experiments are conducted where participants are asked a variety of questions about factual information, or deducible information while reading a detective novel. Participants are also asked about the state of their mind before the questions are asked.

Throughout the reading itself, the author provides important cues to identify the villain, known as inference critical episodes (ICEs). The questions are asked randomly and before critical episodes are reached. It was found that episodes of mind-wandering, especially early on in the text led to decreased identification of the villain and worse results on both factual and deducible questions.

Therefore, when mind-wandering occurs during reading, the text is not processed well enough to remember key information about the story. Furthermore, both the timing and the frequency of mind-wandering helps determine how much information is retained from the narrative. [62] [63]

Reading comprehension

Reading comprehension must also be investigated in terms of text difficulty. To assess this, researchers provide an easy and hard version of a reading task. During this task, participants are interrupted and asked whether their thoughts at the time of interruption had been related or unrelated to the task. What is found is that mind-wandering has a negative effect on text comprehension in more difficult readings.

This supports the executive-resource hypothesis which describes that both task related and task-unrelated thoughts (TUT) compete for executive function resources. Therefore, when the primary task is difficult, little resources are available for mind-wandering, whereas when the task is simple, the possibility for mind-wandering is abundant because it takes little executive control to focus on simple tasks.

However, mind-wandering tends to occur more frequently in harder readings as opposed to easier readings. Therefore, it is possible that similar to retention, mind-wandering increases when readers have difficulty constructing a model of the story. [63] [64]

Happiness

As part of his doctoral research at Harvard University, Matthew Killingsworth used an iPhone app that captured a user's feelings in real time. [65] [66] The tool alerts the user at random times and asks: "How are you feeling right now?" and "What are you doing right now?" [67] Killingsworth and Gilbert's analysis suggested that mind-wandering was much more typical in daily activities than in laboratory settings.

They also describe that people were less happy when their minds were wandering than when they were otherwise occupied. This effect was somewhat counteracted by people's tendency to mind-wander to happy topics, but unhappy mind-wandering was more likely to be rated as more unpleasant than other activities.

The authors note that unhappy moods can also cause mind-wandering, but the time-lags between mind-wandering and mood suggests that mind-wandering itself can also lead to negative moods. [67] Furthermore, research suggests that regardless of working memory capacity, subjects participating in mind-wandering experiments report more mind-wandering when bored, stressed, or unhappy. [24] [63]

Executive functions

Executive functions (EFs) are cognitive processes that make a person pay attention or concentrate on a task. [68] [69] Three executive functions that relate to memory are inhibiting, updating and shifting. Inhibiting controls a person's attention and thoughts when distractions are abundant. [68] [70] [71] [72] Updating reviews old information and replaces it with new information in the working memory. [70] [71] [72] Shifting controls the ability to go between multiple tasks. [70] [71] [72] All three EFs have a relationship to mind-wandering. [73]

Executive functions have roles in attention problems, attention control, thought control, and working memory capacity. [4] [24] [38] [70] [71] [72] [74] Attention problems relate to behavioral problems such as inattention, impulsivity and hyperactivity. [71] [72] These behaviors make staying on task difficult leading to more mind-wandering. [71] Higher inhibiting and updating abilities correlates to lower levels of attention problems in adolescence. [71] [75]

The inhibiting executive function controls attention and thought. The failure of cognitive inhibition is a direct cause of mind-wandering. [4] [24] [70] [76] Mind-wandering is also connected to working memory capacity (WMC). [24] [74] People with higher WMC mind-wander less on high concentration tasks no matter their boredom levels. People with low WMC are better at staying on task for low concentration tasks, but once the task increases in difficulty they had a hard time keeping their thoughts focused on task. [24]

Updating takes place in the working memory, therefore those with low WMC have a lower updating executive function ability. [24] [74] That means a low performing updating executive function can be an indicator of high mind-wandering. [24] Working memory relies on executive functions, with mind-wandering as an indicator of their failure. [38] [74] Task-unrelated thoughts (TUTs) are empirical behavioral manifestations of mind-wandering in a person. [4] [38] [40] The longer a task is performed the more TUTs reported. [4] [40] Mind-wandering is an indication of an executive control failure that is characterized by TUTs. [4] [38] [40]

Metacognition serves to correct the wandering mind, suppressing spontaneous thoughts and bringing attention back to more "worthwhile" tasks. [77] [78]

Fidgeting

Paul Seli and colleagues have shown that spontaneous mind-wandering is associated with increased fidgeting; [79] [80] by contrast, interest, attention and visual engagement lead to Non-Instrumental Movement Inhibition. [81] One possible application for this phenomenon is that detection of non-instrumental movements may be an indicator of attention or boredom in computer aided learning.

Traditionally teachers and students have viewed fidgeting as a sign of diminished attention, [82] which is summarized by the statement, “Concentration of consciousness, and concentration of movements, diffusion of ideas and diffusion of movements go together.” [83] However, James Farley and colleagues have proposed that fidgeting is not only an indicator of spontaneous mind-wandering, but is also a subconscious attempt to increase arousal in order to improve attention and thus reduce mind-wandering. [84]

See also

Related Research Articles

Short-term memory is the capacity for holding a small amount of information in an active, readily available state for a short interval. For example, short-term memory holds a phone number that has just been recited. The duration of short-term memory is estimated to be on the order of seconds. The commonly cited capacity of 7 items, found in Miller's Law, has been superseded by 4±1 items. In contrast, long-term memory holds information indefinitely.

Working memory is a cognitive system with a limited capacity that can hold information temporarily. It is important for reasoning and the guidance of decision-making and behavior. Working memory is often used synonymously with short-term memory, but some theorists consider the two forms of memory distinct, assuming that working memory allows for the manipulation of stored information, whereas short-term memory only refers to the short-term storage of information. Working memory is a theoretical concept central to cognitive psychology, neuropsychology, and neuroscience.

<span class="mw-page-title-main">Cognition</span> Act or process of knowing

Cognition is the "mental action or process of acquiring knowledge and understanding through thought, experience, and the senses". It encompasses all aspects of intellectual functions and processes such as: perception, attention, thought, imagination, intelligence, the formation of knowledge, memory and working memory, judgment and evaluation, reasoning and computation, problem-solving and decision-making, comprehension and production of language. Cognitive processes use existing knowledge to discover new knowledge.

<span class="mw-page-title-main">Daydreaming</span> Aspect of human thought and consciousness

Daydreaming is a stream of consciousness that detaches from current external tasks when one's attention becomes focused on a more personal and internal direction.

In cognitive psychology, chunking is a process by which small individual pieces of a set of information are bound together to create a meaningful whole later on in memory. The chunks, by which the information is grouped, are meant to improve short-term retention of the material, thus bypassing the limited capacity of working memory and allowing the working memory to be more efficient. A chunk is a collection of basic units that are strongly associated with one another, and have been grouped together and stored in a person's memory. These chunks can be retrieved easily due to their coherent grouping. It is believed that individuals create higher-order cognitive representations of the items within the chunk. The items are more easily remembered as a group than as the individual items themselves. These chunks can be highly subjective because they rely on an individual's perceptions and past experiences, which are linked to the information set. The size of the chunks generally ranges from two to six items but often differs based on language and culture.

<span class="mw-page-title-main">Metacognition</span> Self-awareness about thinking, higher-order thinking skills

Metacognition is an awareness of one's thought processes and an understanding of the patterns behind them. The term comes from the root word meta, meaning "beyond", or "on top of". Metacognition can take many forms, such as reflecting on one's ways of thinking, and knowing when and how oneself and others use particular strategies for problem-solving. There are generally two components of metacognition: (1) cognitive conceptions and (2) cognitive regulation system. Research has shown that both components of metacognition play key roles in metaconceptual knowledge and learning. Metamemory, defined as knowing about memory and mnemonic strategies, is an important aspect of metacognition.

Information processing theory is the approach to the study of cognitive development evolved out of the American experimental tradition in psychology. Developmental psychologists who adopt the information processing perspective account for mental development in terms of maturational changes in basic components of a child's mind. The theory is based on the idea that humans process the information they receive, rather than merely responding to stimuli. This perspective uses an analogy to consider how the mind works like a computer. In this way, the mind functions like a biological computer responsible for analyzing information from the environment. According to the standard information-processing model for mental development, the mind's machinery includes attention mechanisms for bringing information in, working memory for actively manipulating information, and long-term memory for passively holding information so that it can be used in the future. This theory addresses how as children grow, their brains likewise mature, leading to advances in their ability to process and respond to the information they received through their senses. The theory emphasizes a continuous pattern of development, in contrast with cognitive-developmental theorists such as Jean Piaget's theory of cognitive development that thought development occurs in stages at a time.

<span class="mw-page-title-main">Executive functions</span> Cognitive processes necessary for control of behavior

In cognitive science and neuropsychology, executive functions are a set of cognitive processes that support goal-directed behavior, by regulating thoughts and actions through cognitive control, selecting and successfully monitoring actions that facilitate the attainment of chosen objectives. Executive functions include basic cognitive processes such as attentional control, cognitive inhibition, inhibitory control, working memory, and cognitive flexibility. Higher-order executive functions require the simultaneous use of multiple basic executive functions and include planning and fluid intelligence.

In psychology and neuroscience, memory span is the longest list of items that a person can repeat back in correct order immediately after presentation on 50% of all trials. Items may include words, numbers, or letters. The task is known as digit span when numbers are used. Memory span is a common measure of working memory and short-term memory. It is also a component of cognitive ability tests such as the WAIS. Backward memory span is a more challenging variation which involves recalling items in reverse order.

In psychology, a dual process theory provides an account of how thought can arise in two different ways, or as a result of two different processes. Often, the two processes consist of an implicit (automatic), unconscious process and an explicit (controlled), conscious process. Verbalized explicit processes or attitudes and actions may change with persuasion or education; though implicit process or attitudes usually take a long amount of time to change with the forming of new habits. Dual process theories can be found in social, personality, cognitive, and clinical psychology. It has also been linked with economics via prospect theory and behavioral economics, and increasingly in sociology through cultural analysis.

In the field of psychology, absent-mindedness is a mental state wherein a person is forgetfully inattentive. It is the opposite mental state of mindfulness.

<span class="mw-page-title-main">Default mode network</span> Large-scale brain network active when not focusing on an external task

In neuroscience, the default mode network (DMN), also known as the default network, default state network, or anatomically the medial frontoparietal network (M-FPN), is a large-scale brain network primarily composed of the dorsal medial prefrontal cortex, posterior cingulate cortex, precuneus and angular gyrus. It is best known for being active when a person is not focused on the outside world and the brain is at wakeful rest, such as during daydreaming and mind-wandering. It can also be active during detailed thoughts related to external task performance. Other times that the DMN is active include when the individual is thinking about others, thinking about themselves, remembering the past, and planning for the future. The DMN creates a coherent "internal narrative" control to the construction of a sense of self.

<span class="mw-page-title-main">Fidgeting</span> Type of involuntary movement

Fidgeting is the act of moving about restlessly in a way that is not essential to ongoing tasks or events. Fidgeting may involve playing with one's fingers, hair, or personal objects. In this sense, it may be considered twiddling or fiddling. Fidgeting is commonly used as a label for unexplained or subconscious activities and postural movements that people perform while seated or standing idle.

In psychology and neuroscience, executive dysfunction, or executive function deficit, is a disruption to the efficacy of the executive functions, which is a group of cognitive processes that regulate, control, and manage other cognitive processes. Executive dysfunction can refer to both neurocognitive deficits and behavioural symptoms. It is implicated in numerous psychopathologies and mental disorders, as well as short-term and long-term changes in non-clinical executive control. Executive dysfunction is the mechanism underlying ADHD paralysis, and in a broader context, it can encompass other cognitive difficulties like planning, organizing, initiating tasks and regulating emotions. It is a core characteristic of ADHD and can elucidate numerous other recognized symptoms.

Nelson Cowan is the Curators' Distinguished Professor of Psychological Sciences at the University of Missouri. He specializes in working memory, the small amount of information held in mind and used for language processing and various kinds of problem solving. To overcome conceptual difficulties that arise for models of information processing in which different functions occur in separate boxes, Cowan proposed a more organically organized "embedded processes" model. Within it, representations held in working memory comprise an activated subset of the representations held in long-term memory, with a smaller subset held in a more integrated form in the current focus of attention. Other work has been on the developmental growth of working memory capacity and the scientific method. His work, funded by the National Institutes of Health since 1984, has been cited over 41,000 times according to Google Scholar. The work has resulted in over 250 peer-reviewed articles, over 60 book chapters, 2 sole-authored books, and 4 edited volumes.

Working memory training is intended to improve a person's working memory. Working memory is a central intellectual faculty, linked to IQ, ageing, and mental health. It has been claimed that working memory training programs are effective means, both for treating specific medical conditions associated with working memory deficit, and for general increase in cognitive capacity among healthy neurotypical adults.

<span class="mw-page-title-main">Attentional control</span> Individuals capacity to choose what they pay attention to and what they ignore

Attentional control, colloquially referred to as concentration, refers to an individual's capacity to choose what they pay attention to and what they ignore. It is also known as endogenous attention or executive attention. In lay terms, attentional control can be described as an individual's ability to concentrate. Primarily mediated by the frontal areas of the brain including the anterior cingulate cortex, attentional control and attentional shifting are thought to be closely related to other executive functions such as working memory.

Retrieval-induced forgetting (RIF) is a memory phenomenon where remembering causes forgetting of other information in memory. The phenomenon was first demonstrated in 1994, although the concept of RIF has been previously discussed in the context of retrieval inhibition.

Jonathan Smallwood is a Professor in the Department of Psychology at Queen's University at Kingston in Ontario, Canada. His research uses the tools of cognitive neuroscience to investigate the process by which the brain self generates thoughts not arising from perception, such as during the experience of mind-wandering and daydreaming. For the last two years he has been recognised as one of the world's most highly cited scientists.

Sex differences in cognition are widely studied in the current scientific literature. Biological and genetic differences in combination with environment and culture have resulted in the cognitive differences among males and females. Among biological factors, hormones such as testosterone and estrogen may play some role mediating these differences. Among differences of diverse mental and cognitive abilities, the largest or most well known are those relating to spatial abilities, social cognition and verbal skills and abilities.

References

  1. Smallwood, Jonathan; Schooler, Jonathan W. (2015-01-03). "The science of mind wandering: empirically navigating the stream of consciousness". Annual Review of Psychology. 66: 487–518. doi: 10.1146/annurev-psych-010814-015331 . ISSN   1545-2085. PMID   25293689.
  2. Mrazek, Michael; Phillips, Dawa; Franklin, Michael; Broadway, James; Schooler, Jonathan (2013). "Young and restless: validation of the Mind-Wandering Questionnaire (MWQ) reveals disruptive impact of mind-wandering for youth". Frontiers in Psychology. 4: 560. doi: 10.3389/fpsyg.2013.00560 . ISSN   1664-1078. PMC   3753539 . PMID   23986739.
  3. McMillan, Rebecca; Kaufman, Scott; Singer, Jerome (2013). "Ode to positive constructive daydreaming". Frontiers in Psychology. 4: 626. doi: 10.3389/fpsyg.2013.00626 . ISSN   1664-1078. PMC   3779797 . PMID   24065936.
  4. 1 2 3 4 5 6 7 McVay, Jennifer C.; Kane, Michael J. (January 2009). "Conducting the train of thought: Working memory capacity, goal neglect, and mind wandering in an executive-control task". Journal of Experimental Psychology: Learning, Memory, and Cognition. 35 (1): 196–204. doi:10.1037/a0014104. PMC   2750806 . PMID   19210090.
  5. Lin, Chin-Teng; Chuang, Chun-Hsiang; Kerick, Scott; Mullen, Tim; Jung, Tzyy-Ping; Ko, Li-Wei; Chen, Shi-An; King, Jung-Tai; McDowell, Kaleb (2016-02-17). "Mind-Wandering Tends to Occur under Low Perceptual Demands during Driving". Scientific Reports. 6 (1): 21353. Bibcode:2016NatSR...621353L. doi:10.1038/srep21353. ISSN   2045-2322. PMC   4808905 . PMID   26882993.
  6. 1 2 Smallwood, J.; Obonsawin, M.C.; Heim, D. (June 2003). "Task Unrelated Thought: the role of distributed processing". Consciousness and Cognition. 12 (2): 169–189. doi:10.1016/s1053-8100(02)00003-x. PMID   12763003. S2CID   7646836.
  7. Smallwood, J.; Beech, E.M.; Schooler, J.W.; Handy, T.C. (March 2008). "Going AWOL in the brain – mind wandering reduces cortical analysis of the task environment". Journal of Cognitive Neuroscience. 20 (3): 458–469. doi:10.1162/jocn.2008.20037. PMID   18004943. S2CID   16925264.
  8. Kam, J.W.Y.; Dao, E.; Farley, J.; Fitzpatrick, K.; Smallwood, J.; Schooler, J.W.; Handy, T.C. (February 2011). "Slow fluctuations in attentional control of sensory cortex". Journal of Cognitive Neuroscience. 23 (2): 460–470. doi:10.1162/jocn.2010.21443. hdl: 2429/27539 . PMID   20146593. S2CID   7709940.
  9. Braboszcz, C.; Delorme, A. (2011). "Lost in thoughts: neural markers of low alertness during mind wandering". NeuroImage. 54 (4): 3040–7. doi:10.1016/j.neuroimage.2010.10.008. PMID   20946963. S2CID   12903932.
  10. 1 2 Smallwood, J.; Davies, J. B.; Heim, D.; Finnigan, F.; Sudberry, M.V.; O'Connor, R.C.; Obonsawain, M.C. (December 2004). "Subjective experience and the attentional lapse. Task engagement and disengagement during sustained attention". Consciousness and Cognition. 13 (4): 657–690. doi:10.1016/j.concog.2004.06.003. PMID   15522626. S2CID   2514220.
  11. 1 2 McVay, J.C.; Kane, M.J.; Kwapil, T.R. (October 2009). "Tracking the train of thought from the laboratory into everyday life: an experience-sampling study of mind wandering across controlled and ecological contexts". Psychonomic Bulletin & Review. 16 (5): 857–63. doi:10.3758/PBR.16.5.857. PMC   2760023 . PMID   19815789.
  12. Galéra, C; Orriols, L; M'Bailara, K; Laborey, M; Contrand, B; Ribéreau-Gayon, R; Masson, F; Bakiri, S; Gabaude, C; Fort, A; Maury, B; Lemercier, C; Cours, M; Bouvard, MP; Lagarde, E (13 December 2012). "Mind wandering and driving: responsibility case-control study". BMJ. 345: e8105. doi:10.1136/bmj.e8105. PMC   3521876 . PMID   23241270.
  13. Smallwood, J.; Fitzgerald, A.; Miles, L.; Phillips, L. (April 2009). "Shifting moods, wandering minds: negative moods lead the mind to wander". Emotion. 9 (2): 271–276. doi:10.1037/a0014855. PMID   19348539.
  14. Smallwood, J.; O'Connor, R.C.; Sudberry, M.V.; Obonsawin, M.C. (2007). "Mind wandering & Dysphoria". Cognition & Emotion. 21 (4): 816–842. doi:10.1080/02699930600911531. S2CID   17662623.
  15. Finnigan, F.; Schulze, D.; Smallwood, J. (2007). "Alcohol and the wandering mind – a new direction in the study of attentional lapses". International Journal of Disability and Human Development. 6 (2): 189–199. doi:10.1515/ijdhd.2007.6.2.189. S2CID   25689644.
  16. 1 2 3 4 Smallwood, J.; Nind, L.; O'Connor, R.C. (March 2009). "When is your head at? An exploration of the factors associated with the temporal focus of the wandering mind". Consciousness and Cognition. 18 (1): 118–125. doi:10.1016/j.concog.2008.11.004. PMID   19121953. S2CID   7498624.
  17. 1 2 Buckner, Randy L.; Andrews-Hanna, Jessica R.; Schacter, Daniel L. (1 March 2008). "The Brain's Default Network". Annals of the New York Academy of Sciences. 1124 (1): 1–38. CiteSeerX   10.1.1.689.6903 . doi:10.1196/annals.1440.011. ISSN   1749-6632. PMID   18400922. S2CID   3167595.
  18. Sormaz, Mladen; Murphy, Charlotte; Wang, Hao-ting; Hymers, Mark; Karapanagiotidis, Theodoros; Poerio, Giulia; Margulies, Daniel S.; Jefferies, Elizabeth; Smallwood, Jonathan (2018-08-24). "Default mode network can support the level of detail in experience during active task states". Proceedings of the National Academy of Sciences. 115 (37): 9318–9323. Bibcode:2018PNAS..115.9318S. doi: 10.1073/pnas.1721259115 . ISSN   0027-8424. PMC   6140531 . PMID   30150393.
  19. Varendonck, J. (1921). The Psychology of Day-Dreams. London: Allen & Unwin. OCLC   32126893.
  20. Wallas, Graham (1926). The Art of Thought. London: Johnathon Cape. OCLC   1114115.
  21. 1 2 Smallwood, Jonathan; Schooler, Jonathan W. (2007). "Mind-Wandering". In Baumeister, Roy F.; Vohs, Kathleen D. (eds.). Encyclopedia of Social Psychology. Vol. 2. Thousand Oaks, CA: SAGE Publications. pp. 574–577. ISBN   978-1-4129-1670-7. OCLC   192175326.
  22. Antrobus, J.S.; Singer, J.L.; Goldstein, S.; Fortgang, M. (February 1970). "Mind-wandering and cognitive structure". Transactions of the New York Academy of Sciences. 32 (2): 242–252. doi:10.1111/j.2164-0947.1970.tb02056.x. PMID   5265228.
  23. Weiner, Irving B.; Craighead, W. Edward, eds. (2010). The Corsini encyclopedia of psychology (4th ed.). Hoboken, NJ: John Wiley. ISBN   978-0-470-47921-6. OCLC   528701259.
  24. 1 2 3 4 5 6 7 8 9 10 Kane, M. J.; Brown, L. H.; McVay, J. C.; Silvia, P. J.; Myin-Germeys, I.; Kwapil, T. R. (1 July 2007). "For Whom the Mind Wanders, and When: An Experience-Sampling Study of Working Memory and Executive Control in Daily Life". Psychological Science. 18 (7): 614–621. doi:10.1111/j.1467-9280.2007.01948.x. PMID   17614870. S2CID   4640150.
  25. Unsworth, Nash; McMillan, Brittany D.; Brewer, Gene A.; Spillers, Gregory J. (November 2012). "Everyday attention failures: An individual differences investigation". Journal of Experimental Psychology: Learning, Memory, and Cognition. 38 (6): 1765–1772. doi:10.1037/a0028075. PMID   22468805.
  26. Unsworth, Nash; Brewer, Gene A.; Spillers, Gregory J. (July 2012). "Variation in cognitive failures: An individual differences investigation of everyday attention and memory failures". Journal of Memory and Language. 67 (1): 1–16. doi:10.1016/j.jml.2011.12.005. S2CID   14923857.
  27. 1 2 Mason, M.F.; Norton, M.I.; Van Horn, J.D.; Wegner, D.M.; Grafton, S.T.; Macrae, C.N. (19 January 2007). "Wandering minds: the default network and stimulus-independent thought". Science. 315 (5810): 393–395. Bibcode:2007Sci...315..393M. doi:10.1126/science.1131295. PMC   1821121 . PMID   17234951.
  28. 1 2 Christoff, K.; Gordon, A.M.; Smallwood, J. Smith; Schooler, J.W. (2009). "Experience sampling during fMRI reveals default network and executive system contributions to mind wandering". Proceedings of the National Academy of Sciences of the United States of America. 106 (21): 8719–24. Bibcode:2009PNAS..106.8719C. doi: 10.1073/pnas.0900234106 . PMC   2689035 . PMID   19433790.
  29. Gusnard, D.A.; Raichle, M.E. (2001). "Searching for a baseline: functional imaging and the resting human brain". Nature Reviews Neuroscience. 2 (10): 685–694. doi:10.1038/35094500. PMID   11584306. S2CID   18034637.
  30. Bar, M.; Aminoff, E.; Mason, M.; Fenske, M. (2007). "The units of thought". Hippocampus. 17 (6): 420–428. doi:10.1002/hipo.20287. PMID   17455334. S2CID   2012769.
  31. Smallwood, J.; Schooler, J.W. (November 2006). "The Restless Mind". Psychological Bulletin. 132 (6): 946–958. doi:10.1037/0033-2909.132.6.946. PMID   17073528.
  32. 1 2 Miyake, A.; Friedman, N. P. (31 January 2012). "The Nature and Organization of Individual Differences in Executive Functions: Four General Conclusions". Current Directions in Psychological Science. 21 (1): 8–14. doi:10.1177/0963721411429458. PMC   3388901 . PMID   22773897.
  33. 1 2 3 Rodríguez-Villagra, Odir Antonio; Göthe, Katrin; Oberauer, Klaus; Kliegl, Reinhold (September 2013). "Working memory capacity in a go/no-go task: Age differences in interference, processing speed, and attentional control". Developmental Psychology. 49 (9): 1683–1696. doi:10.1037/a0030883. PMID   23231688.
  34. Sormaz, Mladen; Murphy, Charlotte; Wang, Hao-Ting; Hymers, Mark; Karapanagiotidis, Theodoros; Poerio, Giulia; Margulies, Daniel S.; Jefferies, Elizabeth; Smallwood, Jonathan (2018). "Default mode network can support the level of detail in experience during active task states". Proceedings of the National Academy of Sciences. 115 (37): 9318–9323. Bibcode:2018PNAS..115.9318S. doi: 10.1073/pnas.1721259115 . PMC   6140531 . PMID   30150393.
  35. Baars, Bernard J. (1988). A Cognitive Theory of Consciousness . Cambridge, England: Cambridge University Press. ISBN   978-0-521-30133-6. OCLC   16354559.
  36. Baars, Bernard J. (1997). In the Theater of Consciousness . New York, NY: Oxford University Press. ISBN   978-0-19-510265-9. OCLC   34319776.
  37. Dehaene, S.; Changeux, J.-P. (2005). "Ongoing spontaneous activity controls access to consciousness: A neuronal model for inattentional blindness". PLOS Biology . 3 (5): e141. doi: 10.1371/journal.pbio.0030141 . PMC   1074751 . PMID   15819609.
  38. 1 2 3 4 5 6 7 8 9 Kane, M. J.; McVay, J. C. (1 October 2012). "What Mind Wandering Reveals About Executive-Control Abilities and Failures". Current Directions in Psychological Science. 21 (5): 348–354. doi:10.1177/0963721412454875. S2CID   30402362.
  39. 1 2 3 4 Jackson, Jonathan D.; Balota, David A. (March 2012). "Mind-wandering in younger and older adults: Converging evidence from the sustained attention to response task and reading for comprehension". Psychology and Aging. 27 (1): 106–119. doi:10.1037/a0023933. PMC   3508668 . PMID   21707183.
  40. 1 2 3 4 5 6 Schooler, Jonathan W.; Smallwood, Jonathan (2007). "Meta-Awareness". In Baumeister, Roy F.; Vohs, Kathleen D. (eds.). Encyclopedia of Social Psychology. Vol. 2. Thousand Oaks, CA: SAGE Publications. pp. 562–564. ISBN   978-1-4129-1670-7. OCLC   192175326.
  41. Seli, Paul; Smallwood, Jonathan; Cheyne, James Allan; Smilek, Daniel (2015-06-01). "On the relation of mind wandering and ADHD symptomatology". Psychonomic Bulletin & Review. 22 (3): 629–636. doi: 10.3758/s13423-014-0793-0 . ISSN   1531-5320. PMID   25561417.
  42. Franklin, Michael S.; Mrazek, Michael D.; Anderson, Craig L.; Johnston, Charlotte; Smallwood, Jonathan; Kingstone, Alan; Schooler, Jonathan W. (2016-07-27). "Tracking Distraction". Journal of Attention Disorders. 21 (6): 475–486. doi:10.1177/1087054714543494. ISSN   1087-0547. PMID   25085650. S2CID   53625201.
  43. Smallwood, Jonathan; Schooler, Jonathan W. (2015-01-03). "The Science of Mind Wandering: Empirically Navigating the Stream of Consciousness". Annual Review of Psychology. 66 (1): 487–518. doi: 10.1146/annurev-psych-010814-015331 . ISSN   0066-4308. PMID   25293689.
  44. Shaw, G. A.; Giambra, Leonard (1993-01-01). "Task-unrelated thoughts of college students diagnosed as hyperactive in childhood". Developmental Neuropsychology. 9 (1): 17–30. doi:10.1080/87565649309540541. ISSN   8756-5641.
  45. Fassbender, Catherine; Zhang, Hao; Buzy, Wendy M.; Cortes, Carlos R.; Mizuiri, Danielle; Beckett, Laurel; Schweitzer, Julie B. (2009). "A lack of default network suppression is linked to increased distractibility in ADHD". Brain Research. 1273: 114–128. doi:10.1016/j.brainres.2009.02.070. PMC   4721585 . PMID   19281801.
  46. Kanske, Philipp; Schulze, Lars; Dziobek, Isabel; Scheibner, Hannah; Roepke, Stefan; Singer, Tania (2016-08-30). "The wandering mind in borderline personality disorder: Instability in self- and other-related thoughts". Psychiatry Research. 242: 302–310. doi:10.1016/j.psychres.2016.05.060. ISSN   0165-1781. PMID   27318635. S2CID   207452574.
  47. Kanske, Philipp; Sharifi, Marjan; Smallwood, Jonathan; Dziobek, Isabel; Singer, Tania (2016-09-12). "Where the Narcissistic Mind Wanders: Increased Self-Related Thoughts Are More Positive and Future Oriented". Journal of Personality Disorders. 31 (4): 553–566. doi:10.1521/pedi_2016_30_263. ISSN   0885-579X. PMID   27617653.
  48. Hoffmann, Ferdinand; Banzhaf, Christian; Kanske, Philipp; Bermpohl, Felix; Singer, Tania (2016-07-01). "Where the depressed mind wanders: Self-generated thought patterns as assessed through experience sampling as a state marker of depression". Journal of Affective Disorders. 198: 127–134. doi:10.1016/j.jad.2016.03.005. ISSN   1573-2517. PMID   27015160.
  49. The Psychology of Learning and Motivation: Advances in Research and Theory. Elsevier. 2004-02-19. ISBN   9780080522777.
  50. "PsycNET". psycnet.apa.org. Retrieved 2019-10-06.
  51. 1 2 Smallwood, Jonathan (February 2011). "Mind-wandering While Reading: Attentional Decoupling, Mindless Reading and the Cascade Model of Inattention". Language and Linguistics Compass. 5 (2): 63–77. doi:10.1111/j.1749-818X.2010.00263.x.
  52. Levinson, D; Smallwood, J.; Davidson, R.J. (2011). "The persistence of thought". Psychological Science. 23 (4): 375–380. doi:10.1177/0956797611431465. PMC   3328662 . PMID   22421205.
  53. Baird, B; Smallwood, J.; Schooler, J.W. (2011). "Back to the future: auto-biographical planning and functionality of mind wandering". Consciousness and Cognition. 20 (4): 1604–1611. doi:10.1016/j.concog.2011.08.007. PMID   21917482. S2CID   19268639.
  54. Smallwood, J. (2013). "Distinguishing how from why the mind wanders: a process occurrence framework for self-generated thought". Psychological Bulletin. 139 (3): 519–535. doi:10.1037/a0030010. PMID   23607430.
  55. Alloway, T.P.; S.E. Gathercole; H. Kirkwood; J. Elliott (Mar–Apr 2009). "The cognitive and behavioral characteristics of children with low working memory". Child Development. 80 (2): 606–621. doi:10.1111/j.1467-8624.2009.01282.x. hdl: 1893/978 . PMID   19467014. S2CID   14481660.
  56. Gathercole, S.E.; Alloway TP; Kirkwood HJ; Elliott JG; Holmes J; Hilton KA (2008). "Attentional and executive function behaviours in children with poor working memory". Learning and Individual Differences. 18 (2): 214–223. doi:10.1016/j.lindif.2007.10.003. hdl: 1893/785 .
  57. 1 2 McVay, JC; MJ Kane (May 2012). "Drifting from slow to "D'oh!": working memory capacity and mind wandering predict extreme reaction times and executive control errors". Journal of Experimental Psychology: Learning, Memory, and Cognition. 38 (3): 529–549. doi:10.1037/a0025896. PMC   3395723 . PMID   22004270.
  58. Kane, MJ; Bleckley MK; Conway AR; Engle RW (June 2001). "A controlled-attention view of working-memory capacity" (PDF). Journal of Experimental Psychology: General. 130 (2): 169–183. doi:10.1037/0096-3445.130.2.169. PMID   11409097.
  59. Unsworth, N; Schrock JC; Engle RW (November 2004). "Working memory capacity and the antisaccade task: individual differences in voluntary saccade control". Journal of Experimental Psychology: Learning, Memory, and Cognition. 30 (6): 1302–21. CiteSeerX   10.1.1.331.840 . doi:10.1037/0278-7393.30.6.1302. PMID   15521806.
  60. Vaughan, Leslie; Giovanello, Kelly (2010). "Executive function in daily life: Age-related influences of executive processes on instrumental activities of daily living". Psychology and Aging. 25 (2): 343–355. doi:10.1037/a0017729. PMID   20545419.
  61. Zanto, Theodore P.; Toy, Brian; Gazzaley, Adam (January 2010). "Delays in neural processing during working memory encoding in normal aging". Neuropsychologia. 48 (1): 13–25. doi:10.1016/j.neuropsychologia.2009.08.003. PMC   2794969 . PMID   19666036.
  62. Smallwood, Jonathan; McSpadden, Merrill; Schooler, Jonathan W. (September 2008). "When attention matters: The curious incident of the wandering mind". Memory & Cognition. 36 (6): 1144–1150. doi: 10.3758/MC.36.6.1144 . PMID   18927032.
  63. 1 2 3 Smallwood, J. "Mind Wandering and Other Lapses" . In Banks, William P. (ed.). Encyclopedia of Consciousness. Vol. 2 (1st ed.). Amsterdam: Elsevier. OCLC   656164369 via Credo.
  64. Feng, S.; D'Mello, S.; Graesser, A.C. (June 2013). "Mind wandering while reading easy and difficult texts". Psychonomic Bulletin & Review. 20 (3): 586–592. doi: 10.3758/s13423-012-0367-y . PMID   23288660.
  65. "About us". Track Your Happiness. Retrieved 3 November 2016.
  66. Hsu, Jeremy (11 November 2010). "Mind Wandering May Lead to a Bad Mood". LiveScience . Purch.
  67. 1 2 Matthew A. Killingsworth & Daniel T. Gilbert (2010). "A Wandering Mind Is an Unhappy Mind" (PDF). Science. 330 (932): 932. Bibcode:2010Sci...330..932K. CiteSeerX   10.1.1.453.1579 . doi:10.1126/science.1192439. PMID   21071660. S2CID   24060648. Archived from the original (PDF) on 2015-05-04.
  68. 1 2 Diamond, Adele (3 January 2013). "Executive Functions". Annual Review of Psychology. 64 (1): 135–168. doi:10.1146/annurev-psych-113011-143750. PMC   4084861 . PMID   23020641.
  69. Barry, Danielle (2012). "Executive Function". In Key, Kristin (ed.). The Gale Encyclopedia of Mental Health. Vol. 1 (3rd ed.). Detroit: Gale. pp. 592–594. OCLC   783722616.
  70. 1 2 3 4 5 Schnitzspahn, Katharina M.; Stahl, Christoph; Zeintl, Melanie; Kaller, Christoph P.; Kliegel, Matthias (August 2013). "The role of shifting, updating, and inhibition in prospective memory performance in young and older adults". Developmental Psychology. 49 (8): 1544–1553. CiteSeerX   10.1.1.714.8040 . doi:10.1037/a0030579. PMID   23148933.
  71. 1 2 3 4 5 6 7 Friedman, N. P.; Haberstick, B. C.; Willcutt, E. G.; Miyake, A.; Young, S. E.; Corley, R. P.; Hewitt, J. K. (1 October 2007). "Greater Attention Problems During Childhood Predict Poorer Executive Functioning in Late Adolescence". Psychological Science. 18 (10): 893–900. doi:10.1111/j.1467-9280.2007.01997.x. PMID   17894607. S2CID   14687502.
  72. 1 2 3 4 5 Spielberger, Charles D., ed. (2004). "Neuropsychological Assessment in Schools". Encyclopedia of Applied Psychology. Vol. 2. Amsterdam: Elsevier. pp. 657–664. OCLC   249842541.
  73. Sullivan, Larry E., ed. (2009). "Executive Functions". The SAGE Glossary of the Social and Behavioral Sciences. Thousand Oaks, CA: SAGE Reference. p. 191. OCLC   808382009.
  74. 1 2 3 4 Sala, Sergio Della; Logie, Robert H. (2002). "Working Memory". In Ramachandran, V.S. (ed.). Encyclopedia of the Human Brain. Vol. 4. Amsterdam: Academic Press. pp. 819–830. OCLC   174981138.
  75. Birren, James E., ed. (2007). "Attention". Encyclopedia of Gerontology. Vol. 1 (2nd ed.). Amsterdam: Elsevier. pp. 120–129. OCLC   70178106.
  76. Cooke, D. Tighe (2006). "Executive Functioning". In Salkind, Neil J. (ed.). Encyclopedia of Human Development. Vol. 1. Thousand Oaks, CA: SAGE Reference. pp. 486–487. OCLC   63525305.
  77. Kieran, C. R. Fox; Kalina Christoff (2014). "Metacognitive Facilitation of Spontaneous Thought Processes: When Metacognition Helps the Wandering Mind Find Its Way". The Cognitive Neuroscience of Metacognition. pp. 293–319. doi:10.1007/978-3-642-45190-4_13. ISBN   978-3-642-45189-8. S2CID   13484588.
  78. "Mind-wandering and metacognition: variation between internal and external thought predicts improved error awareness". Archived from the original on 2 June 2014. Retrieved 9 May 2014.
  79. Carriere, Jonathan S. A.; Seli, Paul; Smilek, Daniel (2013). "Wandering in both mind and body: Individual differences in mind wandering and inattention predict fidgeting". Canadian Journal of Experimental Psychology. 67 (1): 19–31. doi:10.1037/a0031438. PMID   23458548.
  80. Seli, Paul; Carriere, Jonathan S. A.; Thomson, David R.; Cheyne, James Allan; Martens, Kaylena A. Ehgoetz; Smilek, Daniel (2014). "Restless mind, restless body". Journal of Experimental Psychology: Learning, Memory, and Cognition. 40 (3): 660–668. doi:10.1037/a0035260. PMID   24364721.
  81. Witchel, Harry J.; Santos, Carlos P.; Ackah, James K.; Westling, Carina E. I.; Chockalingam, Nachiappan (2016). "Non-Instrumental Movement Inhibition (NIMI) Differentially Suppresses Head and Thigh Movements during Screenic Engagement: Dependence on Interaction". Frontiers in Psychology. 7: 157. doi: 10.3389/fpsyg.2016.00157 . ISSN   1664-1078. PMC   4762992 . PMID   26941666.
  82. Risko, Evan (2012). "Everyday Attention: Variation in Mind Wandering and Memory in a Lecture". Applied Cognitive Psychology. 26 (2): 234–242. doi:10.1002/acp.1814.
  83. Ribot, Théodule (1890). The psychology of attention. Chicago, IL: Open Court. ISBN   9780548114025. OCLC   707693480.
  84. Farley, James; Risko, Evan; Kingstone, Alan (2013). "Everyday attention and lecture retention: the effects of time, fidgeting, and mind wandering". Frontiers in Psychology. 4: 619. doi: 10.3389/fpsyg.2013.00619 . ISSN   1664-1078. PMC   3776418 . PMID   24065933.