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本文引用的文献

1
Media multitasking in adolescence.青少年时期的媒体多任务处理。
Psychon Bull Rev. 2016 Dec;23(6):1932-1941. doi: 10.3758/s13423-016-1036-3.
2
Short-term mindfulness intervention reduces the negative attentional effects associated with heavy media multitasking.短期正念干预可减少与重度媒体多任务处理相关的负面注意力影响。
Sci Rep. 2016 Apr 18;6:24542. doi: 10.1038/srep24542.
3
Media multitasking is associated with distractibility and increased prefrontal activity in adolescents and young adults.媒体多任务处理与青少年和年轻人的注意力分散及前额叶活动增加有关。
Neuroimage. 2016 Jul 1;134:113-121. doi: 10.1016/j.neuroimage.2016.04.011. Epub 2016 Apr 8.
4
Technology consumption and cognitive control: Contrasting action video game experience with media multitasking.技术消费与认知控制:对比动作电子游戏体验与媒体多任务处理
Atten Percept Psychophys. 2016 Jan;78(1):218-41. doi: 10.3758/s13414-015-0988-0.
5
Media multitasking and memory: Differences in working memory and long-term memory.媒体多任务处理与记忆:工作记忆和长期记忆的差异
Psychon Bull Rev. 2016 Apr;23(2):483-90. doi: 10.3758/s13423-015-0907-3.
6
Media multitasking and behavioral measures of sustained attention.媒体多任务处理与持续注意力的行为测量
Atten Percept Psychophys. 2015 Feb;77(2):390-401. doi: 10.3758/s13414-014-0771-7.
7
Higher media multi-tasking activity is associated with smaller gray-matter density in the anterior cingulate cortex.较高的媒体多任务处理活动与前扣带回皮质中灰质密度较小有关。
PLoS One. 2014 Sep 24;9(9):e106698. doi: 10.1371/journal.pone.0106698. eCollection 2014.
8
Working memory, fluid intelligence, and impulsiveness in heavy media multitaskers.重度媒体多任务处理者的工作记忆、流体智力和冲动性。
Psychon Bull Rev. 2013 Dec;20(6):1274-81. doi: 10.3758/s13423-013-0456-6.
9
A null relationship between media multitasking and well-being.媒体多任务处理与幸福感之间没有关系。
PLoS One. 2013 May 15;8(5):e64508. doi: 10.1371/journal.pone.0064508. Print 2013.
10
The association between media multitasking, task-switching, and dual-task performance.媒体多任务处理、任务转换与双重任务表现之间的关联。
J Exp Psychol Hum Percept Perform. 2013 Oct;39(5):1485-1495. doi: 10.1037/a0031208. Epub 2013 Feb 11.

媒体多任务处理与认知、心理、神经及学习差异。

Media Multitasking and Cognitive, Psychological, Neural, and Learning Differences.

作者信息

Uncapher Melina R, Lin Lin, Rosen Larry D, Kirkorian Heather L, Baron Naomi S, Bailey Kira, Cantor Joanne, Strayer David L, Parsons Thomas D, Wagner Anthony D

机构信息

Department of Neurology, University of California, San Francisco, Sandler Neurosciences Center, San Francisco, California;

Departments of Learning Technologies and.

出版信息

Pediatrics. 2017 Nov;140(Suppl 2):S62-S66. doi: 10.1542/peds.2016-1758D.

DOI:10.1542/peds.2016-1758D
PMID:29093034
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5658797/
Abstract

American youth spend more time with media than any other waking activity: an average of 7.5 hours per day, every day. On average, 29% of that time is spent juggling multiple media streams simultaneously (ie, media multitasking). This phenomenon is not limited to American youth but is paralleled across the globe. Given that a large number of media multitaskers (MMTs) are children and young adults whose brains are still developing, there is great urgency to understand the neurocognitive profiles of MMTs. It is critical to understand the relation between the relevant cognitive domains and underlying neural structure and function. Of equal importance is understanding the types of information processing that are necessary in 21st century learning environments. The present review surveys the growing body of evidence demonstrating that heavy MMTs show differences in cognition (eg, poorer memory), psychosocial behavior (eg, increased impulsivity), and neural structure (eg, reduced volume in anterior cingulate cortex). Furthermore, research indicates that multitasking with media during learning (in class or at home) can negatively affect academic outcomes. Until the direction of causality is understood (whether media multitasking causes such behavioral and neural differences or whether individuals with such differences tend to multitask with media more often), the data suggest that engagement with concurrent media streams should be thoughtfully considered. Findings from such research promise to inform policy and practice on an increasingly urgent societal issue while significantly advancing our understanding of the intersections between cognitive, psychosocial, neural, and academic factors.

摘要

美国青少年花在媒体上的时间比其他任何清醒时的活动都要多

平均每天7.5小时,天天如此。平均而言,其中29%的时间用于同时处理多种媒体信息流(即媒体多任务处理)。这种现象不仅限于美国青少年,在全球都存在。鉴于大量进行媒体多任务处理的人是儿童和年轻人,他们的大脑仍在发育,因此迫切需要了解媒体多任务处理者的神经认知特征。了解相关认知领域与潜在神经结构和功能之间的关系至关重要。同样重要的是要了解21世纪学习环境中所需的信息处理类型。本综述调查了越来越多的证据,这些证据表明,重度媒体多任务处理者在认知(如记忆力较差)、心理社会行为(如冲动性增加)和神经结构(如前扣带回皮质体积减小)方面存在差异。此外,研究表明,在学习期间(课堂上或家中)进行媒体多任务处理会对学业成绩产生负面影响。在因果关系的方向得到理解之前(是媒体多任务处理导致了这些行为和神经差异,还是有这些差异的个体更倾向于进行媒体多任务处理),数据表明应该慎重考虑同时参与多种媒体信息流的情况。此类研究的结果有望为一个日益紧迫的社会问题的政策和实践提供参考,同时显著增进我们对认知、心理社会、神经和学业因素之间交叉点的理解。