智能手机干扰对青少年认知表现的影响:一种脑电图方法

T. A. Suhail, K. P. Indiradevi, E. Suhara, Suresh A. Poovathinal, Ayyappan Anitha
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引用次数: 0

摘要

在日常生活的各个领域,对智能手机的依赖已经在所有年龄组中变得普遍。人们越来越关注青少年使用智能手机和多任务处理媒体的不良影响。最近的研究使用问卷调查等各种绩效指标来研究智能手机成瘾与学习成绩之间的关系,这些研究得出了不同的结果。本研究采用脑电图(EEG)特征和自我报告问卷调查来调查媒体多任务处理对认知表现的影响。方法:本研究采用问卷调查的方式,对南印度青少年的智能手机使用模式进行了调查。此外,使用脑电图特征检查智能手机使用对认知任务表现的影响。为此,研究人员记录了22名健康受试者在智能手机上使用社交网站之前和之后的学习任务期间的脑电图。随后,提取各种脑电信号特征,包括小波分解脑电信号频带的比值、注意指数和样本熵。最后,对这些认知表现指标进行评估,并与对照组进行比较。结果:共600名健康人群(男性341人,女性259人)参与调查,其中高用户组310人(50.91%)。性能下降(p=0.005)、睡眠问题(p=0.040)和精神压力(p=0.049)在高用户组中更为普遍。与对照组相比,手机使用组在基于脑电图的认知表现指数上也有显著下降。结论:这项研究的发现强调了在从事认知任务时控制手机使用的重要性。该研究还为开发增强认知技能的神经反馈技术提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of Smartphone Distractions on Cognitive Performance in Adolescents: An Electroencephalography Approach
Introduction: The dependence on smartphones has become widespread among all age groups in every realm of daily life. There has been increased concern about the adverse effects of problematic smartphone use and media multitasking among adolescents. Recent studies used various performance measures like questionnaire surveys to examine the association between smartphone addiction and learning performance, and such studies have yielded mixed findings. The current study investigates the effects of media multitasking on cognitive performance using Electroencephalography (EEG) features and a self-report questionnaire survey. Methods: The patterns of smartphone use among adolescents in South India were investigated in this study, using a questionnaire survey. Further, the impact of smartphone usage on cognitive task performance was examined using EEG features. For this, EEGs of twenty-two healthy subjects were recorded during learning tasks before and after using a social networking site on smartphones. Subsequently, various EEG features were extracted, including ratios of wavelet decomposed EEG bands, attention index, and Sample entropy. Finally, these cognitive performance indices were evaluated and compared with a control group. Results: A total of 600 healthy individuals (341 males, 259 females) participated in the survey among whom, 310 (50.91%) belonged to the high-user group. Performance degradation (p=0.005), sleep problems (p=0.040) and mental stress (p=0.049) were more prevalent among the high-user group. A significant decline in EEG-based cognitive performance indices was also observed in the phone-use group compared to the control group. Conclusion: The findings of this study highlight the importance of controlling phone use when engaged in cognitive tasks. The study also offers an insight to develop neurofeedback techniques that enhance cognitive skills.
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