Social media and self-control: The vices and virtues of attention

Self-control, the capacity to resist temptations and pursue longer-term goals over immediate gratifications, is crucial in determining the overall shape of our lives, and thereby in our ability to shape our identities. As it turns out, this capacity is intimately linked with our ability to control the direction of our attention. This raises the worry that perhaps social media are making us more easily distracted people, and therefore less able to exercise self-control. Is this so? And is it necessarily a bad thing? This paper analyzes the nature of attention, its vices and virtues, and what currently available evidence has to say about the effects of social media on attention and self-control. The pattern that seems to be emerging is that, although there is an association between higher use of social media and lower attentional control, we do not yet know whether it is social media use that makes people more distracted, or whether those who use social media the most do so because they are more easily distracted. Either way, the rise of the ‘Web 2.0’ does raise questions about whether the virtues of attention will change in the future, and whether this will bring with it a transformation in the way we shape our selves

Artificial Intelligence in the Context of Human Consciousness

Artificial intelligence (AI) can be defined as the ability of a machine to learn and make decisions based on acquired information. AI’s development has incited rampant public speculation regarding the singularity theory: a futuristic phase in which intelligent machines are capable of creating increasingly intelligent systems. Its implications, combined with the close relationship between humanity and their machines, make achieving understanding both natural and artificial intelligence imperative. Researchers are continuing to discover natural processes responsible for essential human skills like decision-making, understanding language, and performing multiple processes simultaneously. Artificial intelligence attempts to simulate these functions through techniques like artificial neural networks, Markov Decision Processes, Human Language Technology, and Multi-Agent Systems, which rely upon a combination of mathematical models and hardware

Effects of non-pharmacological or pharmacological interventions on cognition and brain plasticity of aging individuals.

Brain aging and aging-related neurodegenerative disorders are major health challenges faced by modern societies. Brain aging is associated with cognitive and functional decline and represents the favourable background for the onset and development of dementia. Brain aging is associated with early and subtle anatomo-functional physiological changes that often precede the appearance of clinical signs of cognitive decline. Neuroimaging approaches unveiled the functional correlates of these alterations and helped in the identification of therapeutic targets that can be potentially useful in counteracting age-dependent cognitive decline. A growing body of evidence supports the notion that cognitive stimulation and aerobic training can preserve and enhance operational skills in elderly individuals as well as reduce the incidence of dementia. This review aims at providing an extensive and critical overview of the most recent data that support the efficacy of non-pharmacological and pharmacological interventions aimed at enhancing cognition and brain plasticity in healthy elderly individuals as well as delaying the cognitive decline associated with dementia

Does working memory capacity predict literal and inferential comprehension of bilinguals' digital reading in a multitasking setting?

The ubiquity of multitasking has led researchers to investigate its potential costs for reading and learning (Clinton-Lisell, 2021). While some studies have not shown detrimental effects of multitasking for reading comprehension (Bowman et al., 2010; Cho et al., 2015; Pashler et al., 2013), one particular study has found a benefit of multitasking (Tran et al., 2013). These results, nevertheless, do not converge with the findings of recent meta-analyses, which have suggested both a negative effect of multitasking for reading comprehension (Clinton-Lisell, 2021), as well as the disruptive effects of listening to lyrical music while reading for comprehension (Vasilev et al., 2018). Previous research seems to converge with the theories of how working memory copes with the complexity of reading as a process, since several subprocesses must be orchestrated so that the ultimate goal of reading – the construction of a mental representation – is fully achieved (Tomitch, 2020). In addition to that, no previous study has investigated reading as a multilevel construct in which both literal and inferential comprehension (Alptekin & Erçetin, 2010; Kintsch, 1998) is assessed in a multitasking setting. With that in mind, we investigated whether working memory capacity, measured by the Self-Administrable Reading Span Test (Oliveira et al., 2021), predicts proficient bilinguals’ performance in literal and inferential comprehension, by means of comprehension questions (Pearson & Johnson, 1978) and reading times, under a multitasking setting in two conditions – listening to lyrical music (experimental) as opposed to listening to non-lyrical music (control). Multiple linear regression analyses revealed that working memory capacity significantly predicted inferential, but not literal comprehension nor reading times, and only when participants were listening to lyrical music. Results are discussed both in terms of the effects of multitasking on reading comprehension as well as the role of working memory in language comprehension

A Combined Experimental and Individual-Differences Investigation into Mind Wandering During a Video Lecture

A combined experimental–correlational study with a diverse sample (N = 182) from two research sites tested a set of five a priori hypotheses about mind wandering and learning, using a realistic video lecture on introductory statistics. Specifically, the study examined whether students’ vulnerability to mind wandering during the lecture would predict learning from, and situational interest in, the video, and also whether longhand note-taking would help reduce mind wandering, at least for some students. Half the subjects took notes during the video, and all were subsequently tested on lecture content without notes. Regression and mediation analyses indicated that: (a) several individual-differences variables (e.g., pretest score, prior math interest, classroom media multitasking habits) uniquely predicted in-lecture mind wandering frequency; (b) although the note-taking manipulation did not reduce mind wandering at the group level, note-taking still reduced mind wandering for some individuals (i.e., those with lower prior knowledge and those who took notes of high quality and quantity); (c) mind wandering uniquely predicted both learning (posttest) and situational interest outcomes above and beyond all other individual-differences variables; (d) moreover, mind wandering significantly mediated the effects of several individual differences; and, finally, (e) not all types of mind wandering were problematic—in fact, off-task reflections about lecture-related topics positively predicted learning. These results, which were generally robust across the two sites, suggest that educationally focused cognitive research may benefit from considering attentional processes during learning as well as cognitive and noncognitive individual differences that affect attention and learning

A combined experimental and individual-differences investigation into mind wandering during a video lecture

A combined experimental-correlational study with a diverse sample (N = 182) from 2 research sites tested a set of 5 a priori hypotheses about mind wandering and learning, using a realistic video lecture on introductory statistics. Specifically, the study examined whether students’ vulnerability to mind wandering during the lecture would predict learning from, and situational interest in, the video and also whether longhand note-taking would help reduce mind wandering, at least for some students. One half of the participants took notes during the video, and all were subsequently tested on lecture content without notes. Regression and mediation analyses indicated that (a) several individual-differences variables (e.g., pretest score, prior math interest, classroom media multitasking habits) uniquely predicted in-lecture mind wandering frequency; (b) although the note-taking manipulation did not reduce mind wandering at the group level, note-taking still reduced mind wandering for some individuals (i.e., those with lower prior knowledge and those who took notes of high quality and quantity); (c) mind wandering uniquely predicted both learning (posttest) and situational interest outcomes above and beyond all other individual-differences variables; (d) moreover, mind wandering significantly mediated the effects of several individual differences; and, finally, (e) not all types of mind wandering were problematic—in fact, off-task reflections about lecture-related topics positively predicted learning. These results, which were generally robust across the 2 sites, suggest that educationally focused cognitive research may benefit from considering attentional processes during learning as well as cognitive and noncognitive individual differences that affect attention and learning

Task errors by emergency physicians are associated with interruptions, multitasking, fatigue and working memory capacity: a prospective, direct observation study

Background Interruptions and multitasking have been demonstrated in experimental studies to reduce individuals’ task performance. These behaviours are frequently used by clinicians in high-workload, dynamic clinical environments, yet their effects have rarely been studied. Objective To assess the relative contributions of interruptions and multitasking by emergency physicians to prescribing errors. Methods 36 emergency physicians were shadowed over 120 hours. All tasks, interruptions and instances of multitasking were recorded. Physicians’ working memory capacity (WMC) and preference for multitasking were assessed using the Operation Span Task (OSPAN) and Inventory of Polychronic Values. Following observation, physicians were asked about their sleep in the previous 24 hours. Prescribing errors were used as a measure of task performance. We performed multivariate analysis of prescribing error rates to determine associations with interruptions and multitasking, also considering physician seniority, age, psychometric measures, workload and sleep. Results Physicians experienced 7.9 interruptions/hour. 28 clinicians were observed prescribing 239 medication orders which contained 208 prescribing errors. While prescribing, clinicians were interrupted 9.4 times/hour. Error rates increased significantly if physicians were interrupted (rate ratio (RR) 2.82; 95% CI 1.23 to 6.49) or multitasked (RR 1.86; 95% CI 1.35 to 2.56) while prescribing. Having below-average sleep showed a >15-fold increase in clinical error rate (RR 16.44; 95% CI 4.84 to 55.81). WMC was protective against errors; for every 10-point increase on the 75-point OSPAN, a 19% decrease in prescribing errors was observed. There was no effect of polychronicity, workload, physician gender or above-average sleep on error rates. Conclusion Interruptions, multitasking and poor sleep were associated with significantly increased rates of prescribing errors among emergency physicians. WMC mitigated the negative influence of these factors to an extent. These results confirm experimental findings in other fields and raise questions about the acceptability of the high rates of multitasking and interruption in clinical environments

The multitasking framework: the effects of increasing workload on acute psychobiological stress reactivity

A variety of techniques exist for eliciting acute psychological stress in the laboratory; however, they vary in terms of their ease of use, reliability to elicit consistent responses and the extent to which they represent the stressors encountered in everyday life. There is, therefore, a need to develop simple laboratory techniques that reliably elicit psychobiological stress reactivity that are representative of the types of stressors encountered in everyday life. The multitasking framework is a performance-based, cognitively demanding stressor, representative of environments where individuals are required to attend and respond to several different stimuli simultaneously with varying levels of workload. Psychological (mood and perceived workload) and physiological (heart rate and blood pressure) stress reactivity was observed in response to a 15-min period of multitasking at different levels of workload intensity in a sample of 20 healthy participants. Multitasking stress elicited increases in heart rate and blood pressure, and increased workload intensity elicited dose–response increases in levels of perceived workload and mood. As individuals rarely attend to single tasks in real life, the multitasking framework provides an alternative technique for modelling acute stress and workload in the laboratory