Decision-making,cognitive functions,impulsivity, and media multitasking expectancies in high versus low media multitaskers

In several studies, individuals who reported to frequently multitask with different media displayed reduced cognitive performance, for example in fluid intelligence and executive functioning. These cognitive functions are relevant for making advantageous decisions under both objective risk (requiring reflection and strategical planning) and ambiguous risk (requiring learning from feedback). Thus, compared to low media multitaskers (LMMs), high media multitaskers (HMMs) may perform worse in both types of decision situations. The current study investigated HMMs and LMMs in a laboratory setting with the Game of Dice Task (GDT; objective risk), the Iowa Gambling Task (IGT; ambiguous risk), various tests quantifying cognitive functions (logical reasoning, working memory, information processing, general executive functions), and self-report measures of impulsivity, media multitasking expectancies, and problematic Internet use. From 182 participants, 25 HMMs and 19 LMMs were identified using the Media Multitasking Index. Results show that HMMs compared to LMMs performed weaker on the IGT but not on the GDT. Furthermore, HMMs had slightly decreased performance in tests of logical reasoning and working memory capacity. HMMs tended to increased information processing speed but this difference was not significant. Furthermore, HMMs have more positive expectancies regarding media multitasking and reported higher tendencies toward problematic Internet use. HMMs and LMMs did not differ significantly with respect to impulsivity and executive functions. The results give a first hint that HMMs may have difficulties in decision-making under ambiguous but not under objective risk. HMMs may be more prone to errors in tasks that require feedback processing. However, HMMs appear not to be impaired in aspects of long-term strategic decision-making.

     

Distractor filtering in media multitaskers

A growing amount of modern media is consumed simultaneously, a phenomenon known as 'media multitasking'. Individuals who regularly engage in this activity, heavy media multitaskers (HMMs), are more affected by irrelevant information that can intrude into a primary task than are light media multitaskers (LMMs--Ophir et al, 2009 Proceedings of the National Academy of Sciences of the USA 106 15583). However, the locus of this deficit is unknown, as previous research is consistent with both memory and attentional explanations. Here, we isolated attentional processes by employing a singleton distractor task with low working-memory demands. In this task, LMMs used top-down information to improve their performance, yet HMMs did not. This difference in performance in an established attentional capture task argues for the presence of attentional differences in HMMs and is consistent with the idea that HMMs maintain a wider attentional scope than LMMs, even when instructed otherwise.     

Media multitasking and memory: Differences in working memory and long-term memory

Increasing access to media in the 21st century has led to a rapid rise in the prevalence of media multitasking (simultaneous use of multiple media streams). Such behavior is associated with various cognitive differences, such as difficulty filtering distracting information and increased trait impulsivity. Given the rise in media multitasking by children, adolescents, and adults, a full understanding of the cognitive profile of media multitaskers is imperative. Here we investigated the relationship between chronic media multitasking and working memory (WM) and long-term memory (LTM) performance. Four key findings are reported (1) heavy media multitaskers (HMMs) exhibited lower WM performance, regardless of whether external distraction was present or absent; (2) lower performance on multiple WM tasks predicted lower LTM performance; (3) media multitasking-related differences in memory reflected differences in discriminability rather than decision bias; and (4) attentional impulsivity correlated with media multitasking behavior and reduced WM performance. These findings suggest that chronic media multitasking is associated with a wider attentional scope/higher attentional impulsivity, which may allow goal-irrelevant information to compete with goal-relevant information. As a consequence, heavy media multitaskers are able to hold fewer or less precise goal-relevant representations in WM. HMMs’ wider attentional scope, combined with their diminished WM performance, propagates forward to yield lower LTM performance. As such, chronic media multitasking is associated with a reduced ability to draw on the past—be it very recent or more remote—to inform present behavior.     

Does media multitasking always hurt? A positive correlation between multitasking and multisensory integration

Heavy media multitaskers have been found to perform poorly in certain cognitive tasks involving task switching, selective attention, and working memory. An account for this is that with a breadth-biased style of cognitive control, multitaskers tend to pay attention to various information available in the environment, without sufficient focus on the information most relevant to the task at hand. This cognitive style, however, may not cause a general deficit in all kinds of tasks. We tested the hypothesis that heavy media multitaskers would perform better in a multisensory integration task than would others, due to their extensive experience in integrating information from different modalities. Sixty-three participants filled out a questionnaire about their media usage and completed a visual search task with and without synchronous tones (pip-and-pop paradigm). It was found that a higher degree of media multitasking was correlated with better multisensory integration. The fact that heavy media multitaskers are not deficient in all kinds of cognitive tasks suggests that media multitasking does not always hurt.     

Effects of Exposure to Sexual Content in the Media on Adolescent Sexual Behaviors: The Moderating Role of Multitasking with Media

Young audiences frequently combine media use (e.g., television viewing) with other activities (e.g., homework); this is referred to as multitasking. This research uses longitudinal data to examine the moderating role of multitasking by examining the effects of exposure to sexual content in the media on adolescents' sexual behavior. Consistent with the predictions based on the limited capacity approach, there was a significant multitasking by exposure interaction suggesting that multitasking reduces the impact of media. More specifically, the effect of exposure to sexual content in the media on sexual behavior was significantly greater among light multitaskers than among heavy multitaskers.     

媒体多任务经验对不同注意模式下内隐记忆的影响

本研究采用经典背景线索范式,在分布式注意（限制眼动）和集中式注意（自由观看）两种模式下考察不同媒体多任务经验者的内隐记忆表现。实验1要求被试在学习阶段自由观看场景并搜索目标,在测试阶段限制眼动并使用外周视野搜索目标。实验2将学习、测试阶段的注意模式反转。结果发现,高媒体多任务经验者在两种注意模式下均表现出背景线索效应;低媒体多任务经验者仅在集中式注意模式下表现出背景线索效应。结果表明,高媒体多任务经验者在分布式注意模式下存在一定的内隐记忆优势。     

Individual differences in media multitasking and performance on the <Emphasis Type="Italic">n</Emphasis>-back

A number of studies have recently examined the link between individual differences in media multitasking (using the MMI) and performance on working memory paradigms. However, these studies have yielded mixed results. Here we examine the relation between media multitasking and one particular working memory paradigm—the n-back (2- and 3-back)—improving upon previous research by (a) treating media multitasking as a continuous variable and adopting a correlational approach as well as (b) using a large sample of participants. First, we found that higher scores on the MMI were associated with a greater proportion of omitted trials on both the 2-back and 3-back, indicating that heavier media multitaskers were more disengaged during the n-back. In line with such a claim, heavier media multitaskers were also more likely to confess to responding randomly during various portions of the experiment, and to report media multitasking during the experiment itself. Importantly, when controlling for the relation between MMI scores and omissions, higher scores on the MMI were associated with an increase in false alarms, but not with a change in hits. These findings refine the extant literature on media multitasking and working memory performance (specifically, performance on the n-back), and suggest that media multitasking may be related to the propensity to disengage from ongoing tasks.     

Cognitive control in media multitaskers: Two replication studies and a meta-Analysis

Ophir, Nass, and Wagner (2009, Proceedings of the National Academy of Sciences of the United States of America, 106(37), 15583–15587) found that people with high scores on the media-use questionnaire—a questionnaire that measures the proportion of media-usage time during which one uses more than one medium at the same time—show impaired performance on various tests of distractor filtering. Subsequent studies, however, did not all show this association between media multitasking and distractibility, thus casting doubt on the reliability of the initial findings. Here, we report the results of two replication studies and a meta-analysis that included the results from all published studies into the relationship between distractor filtering and media multitasking. Our replication studies included a total of 14 tests that had an average replication power of 0.81. Of these 14 tests, only five yielded a statistically significant effect in the direction of increased distractibility for people with higher scores on the media-use questionnaire, and only two of these effects held in a more conservative Bayesian analysis. Supplementing these outcomes, our meta-analysis on a total of 39 effect sizes yielded a weak but significant association between media multitasking and distractibility that turned nonsignificant after correction for small-study effects. Taken together, these findings lead us to question the existence of an association between media multitasking and distractibility in laboratory tasks of information processing.

     

Media multitasking and implicit learning

Attention, Perception, & Psychophysics - Media multitasking refers to the simultaneous use of different forms of media. Previous research comparing heavy media multitaskers and light media...     

媒体多任务的效用：听觉信息干扰和视听信息整合的实验证据

采用心理旋转范式和词汇判断范式,探讨媒体多任务经验不同者,在听觉信息干扰和视听信息整合情境下对图形一致性和真假词的判断表现。结果发现：(1)以判断图形一致性为实验任务,在无声和低音干扰条件下,低经验组的正确率均显著高于高经验组,两组的反应时差异均不显著;在高音干扰条件下,高经验组的反应时显著短于低经验组,正确率则没有显著差异。(2)以真假词判断为实验任务,对真词的判断,在三种听觉条件下,高经验组在语音匹配条件下的反应时最短,与低经验组无显著差异,但正确率显著高于低经验组,与另两种听觉条件没有显著差异;低经验组在语音匹配条件下的反应时显著长于另两种听觉条件,正确率则显著高于无声条件,与不匹配条件差异不显著。对假词的判断,低经验组在三种听觉条件下的反应时均显著短于高经验组,正确率与高经验组均无显著差异。研究表明,媒体多任务经验丰富者相比经验缺乏者受到任务无关的纯短高音干扰的影响要小一些,在需要视听通道语义整合的加工中具有一定的优势。     

Cognitive pitfall! Videogame players are not immune to dual-task costs

With modern technological advances, we often find ourselves dividing our attention between multiple tasks. While this may seem a productive way to live, our attentional capacity is limited, and this yields costs in one or more of the many tasks that we try to do. Some people believe that they are immune to the costs of multitasking and commonly engage in potentially dangerous behavior, such as driving while talking on the phone. But are some groups of individuals indeed immune to dual-task costs? This study examines whether avid action videogame players, who have been shown to have heightened attentional capacities, are particularly adept multitaskers. Participants completed three visually demanding experimental paradigms (a driving videogame, a multiple-object-tracking task, and a visual search), with and without answering unrelated questions via a speakerphone (i.e., with and without a dual-task component). All of the participants, videogame players and nonvideogame players alike, performed worse while engaging in the additional dual task for all three paradigms. This suggests that extensive videogame experience may not offer immunity from dual-task costs.     

Media multitasking and failures of attention in everyday life

Using a series of online self-report measures, we examine media multitasking, a particularly pervasive form of multitasking, and its relations to three aspects of everyday attention: (1) failures of attention and cognitive errors (2) mind wandering, and (3) attentional control with an emphasis on attentional switching and distractibility. We observed a positive correlation between levels of media multitasking and self-reports of attentional failures, as well as with reports of both spontaneous and deliberate mind wandering. No correlation was observed between media multitasking and self-reported memory failures, lending credence to the hypothesis that media multitasking may be specifically related to problems of inattention, rather than cognitive errors in general. Furthermore, media multitasking was not related with self-reports of difficulties in attention switching or distractibility. We offer a plausible causal structural model assessing both direct and indirect effects among media multitasking, attentional failures, mind wandering, and cognitive errors, with the heuristic goal of constraining and motivating theories of the effects of media multitasking on inattention.     

Can't See the Forest for the Trees? The Effect of Media Multitasking on Cognitive Processing Style

Media multitasking represents an important aspect of the recent evolution in media consumption habits. While some experimental research exists, it has primarily focused on the detrimental effects of multitasking on task performance. We go a step further by examining the impact of media multitasking on information processing style. Study I demonstrates that media multitasking, compared to sequential media consumption, leads to a more local perceptual processing style. Furthermore, the frequency of media switching predicts the level of perceptual processing. Study II extends these findings by showing that media multitasking also affects conceptual processing style. Specifically, media multitasking leads to lower-level (or more concrete) construal of behaviors in a subsequent task. It further shows that conceptual rather than visual switching between media drives the observed differences in conceptual processing. These findings suggest that, as a growing phenomenon, media multitasking behavior may substantially alter the way media viewers process media content.     

Speed and accuracy of accessing information in working memory: an individual differences investigation of focus switching

Three experiments examined the nature of individual differences in switching the focus of attention in working memory. Participants performed 3 versions of a continuous counting task that required successive updating and switching between counts. Across all 3 experiments, individual differences in working memory span and fluid intelligence were related to the accuracy of the counts, but not to the time cost associated with switching between counts. The authors suggest that working memory span and fluid intelligence measures partially index the ability to accurately switch information in and out of the focus of attention, but this variation is not related to the speed of switching.     

Fluid intelligence, working memory and executive functioning

The causes underlying the correlation between working memory and fluid intelligence remain unknown. There are some researchers who argue that the answer can be found on the presumed executive component of working memory. However, the available empirical evidence is far from conclusive. The present study tested a sample of 229 participants. Intelligence, working memory, and executive functioning were measured by one analytic reasoning test (TRASI), a dual task combining a primary task of deductive reasoning with a secondary task of counting, and the Tower of Hanoi task, respectively. All the 3 measures were computer administered. The results indicate that the shared variance between executive functioning and working memory do not account for the relationship between intelligence and working memory. Some theoretical implications are discussed.     

Working Memory,Fluid Intelligence,and Attention Are Predictors of Multitasking Performance,but Polychronicity and Extraversion Are Not

This study explored predictors of multitasking performance. Based on cognitive psychology research, attention and working memory were assumed to be predictors. Fluid intelligence, polychronicity (as the preference for multitasking and the belief that their preference is the best way to handle things), and Extraversion were argued to be additional predictors. Multitasking performance was measured with the scenario "Simultaneous capacity/Multi-tasking (SIMKAP)" (n = 122). Hierarchical multiple regression analyses revealed that working memory was the most important predictor in addition to attention and fluid intelligence. The latter two constructs contributed significantly to the explained variance, but to a lesser extent. Polychronicity was not a significant predictor, nor was Extraversion. Implications for personnel selection and for time management are discussed.     

Thought suppression,intelligence, and working memory capacity

The importance of individual differences in intelligence and working memory capacity in predicting the ability to intentionally suppress thoughts was investigated. Sixty participants completed a thought suppression task, and measures of working memory capacity (OSPAN), fluid intelligence (Raven's Matrices), and crystallised intelligence (the National Adult Reading Test). As predicted, the results indicated that more effective thought suppression was independently related to higher working memory capacity and greater fluid intelligence, but was unrelated to crystallised intelligence. The findings have theoretical implications for understanding the mechanisms underlying a failure to inhibit unwanted intrusions and clinical implications for disorders involving high levels of intrusive thoughts and memories.     

An Observational Study on How Situational Factors Influence Media Multitasking With TV: The Role of Genres,Dayparts, and Social Viewing

This study responds to the need for research on individuals' media multitasking behavior using observational data. Media multitasking can have a profound impact on media processing and effects. However, we have little knowledge on when people are likely to engage in media multitasking and, consequently, when these effects are likely to occur. This study examines how three important situational factors—television genres, dayparts, and social viewing—influence the amount of media multitasking. Granular observational data obtained by directly monitoring and recording media consumption behaviors of a large panel at 10-second intervals are used for the analysis. The study reveals that media multitasking with television is most prevalent when people watch sports or engage in channel surfing and less prevalent with commercials, news, and entertainment. Furthermore, the extent of media multitasking is greater in the morning and afternoon than in the evening, and also greater when individuals watch television alone than in the presence of others. Daypart differences are larger for genres associated with incidental viewing (commercials and channel surfing) than for genres associated with intentional viewing (news, entertainment, and sports). Sports is the only genre that is associated with higher amounts of media multitasking when watching television with others.     

A dissociation between the sense of familiarity and access to semantic information concerning familiar people

In the current study we examined the relationship between working memory capacity, inhibition/susceptibility to interference and fluid intelligence, measured by the Raven's Progressive Matrices (PM38), comparing groups of young (aged 18–35), young-old (aged 65–74), and old-old (aged 75–86) participants. Groups were administered two working memory tasks tapping into different mechanisms involved in working memory. The ability to control for irrelevant information was measured both considering memory errors (intrusion errors) in a working memory task and an index of susceptibility to interference obtained with a variant of the Brown-Peterson task. Regression analyses showed that the classical working memory measure was the most potent predictors of the Raven's score. Susceptibility to interference and intrusions errors contributed, but to a lower extent, to the Raven explained variance. These results confirm that working memory shares cognitive aspects with the fluid intelligence measure considered, whereas the role of inhibition to Raven scores is still in need of better evidence.     

Predictors of media multitasking in Chinese adolescents

We examined predictors of media multitasking in Chinese adolescents from 3 contexts: characteristics of the media user, types of media use and family media contexts. Three hundred and twenty adolescents, 11–18 years of age, completed questionnaires to measure media use, impulsivity, sensation seeking, time management disposition and family media environment. The results showed that media multitasking was positively correlated with age and total media use time. Participants with high levels of impulsivity and sensation seeking reported more multitasking behaviour. Multitasking was negatively correlated with time management. Children from media‐oriented families often engage in more multitasking. What's more, social networking sites use and music use can mediate the effect of individual and family factors on media multitasking.