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基于虚拟现实的注意力参与增强的闭环注意恢复理论。

Closed-Loop Attention Restoration Theory for Virtual Reality-Based Attentional Engagement Enhancement.

机构信息

Department of Micro/nano Electronics, Shanghai Jiao Tong University, Shanghai 200240, China.

出版信息

Sensors (Basel). 2020 Apr 14;20(8):2208. doi: 10.3390/s20082208.

DOI:10.3390/s20082208
PMID:32295136
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7218885/
Abstract

Today, as media and technology multitasking becomes pervasive, the majority of young people face a challenge regarding their attentional engagement (that is, how well their attention can be maintained). While various approaches to improve attentional engagement exist, it is difficult to produce an effect in younger people, due to the inadequate attraction of these approaches themselves. Here, we show that a single 30-min engagement with an attention restoration theory (ART)-inspired closed-loop software program (Virtual ART) delivered on a consumer-friendly virtual reality head-mounted display (VR-HMD) could lead to improvements in both general attention level and the depth of engagement in young university students. These improvements were associated with positive changes in both behavioral (response time and response time variability) and key electroencephalography (EEG)-based neural metrics (frontal midline theta inter-trial coherence and parietal event-related potential P3b). All the results were based on the comparison of the standard Virtual ART tasks (control group, = 15) and closed-loop Virtual ART tasks (treatment group, = 15). This study provides the first case of EEG evidence of a VR-HMD-based closed-loop ART intervention generating enhanced attentional engagement.

摘要

如今,随着媒体和技术的多任务处理变得普遍,大多数年轻人在注意力投入(即注意力的保持程度)方面面临挑战。虽然有各种方法可以提高注意力投入,但由于这些方法本身缺乏吸引力,因此很难在年轻人身上产生效果。在这里,我们展示了一种简单的方法,即通过消费者友好型虚拟现实头戴式显示器 (VR-HMD) 上的注意力恢复理论 (ART) 启发的闭环软件程序 (VirtualART) 进行 30 分钟的单次参与,即可提高年轻大学生的整体注意力水平和投入深度。这些改进与行为(反应时间和反应时间变异性)和关键基于脑电图 (EEG) 的神经指标(额中线 theta 试验间相干性和顶叶事件相关电位 P3b)的积极变化相关。所有结果均基于标准 VirtualART 任务(对照组,n=15)和闭环 VirtualART 任务(治疗组,n=15)的比较。这项研究提供了基于 VR-HMD 的闭环 ART 干预产生增强注意力投入的脑电图证据的首例案例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b78/7218885/cfaa710f94ee/sensors-20-02208-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b78/7218885/e1f47844c251/sensors-20-02208-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b78/7218885/3512b3614a96/sensors-20-02208-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b78/7218885/f9f3db14a595/sensors-20-02208-g0A3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b78/7218885/b7868ed3e202/sensors-20-02208-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b78/7218885/f6ccee754552/sensors-20-02208-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b78/7218885/0118f7753c25/sensors-20-02208-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b78/7218885/cfaa710f94ee/sensors-20-02208-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b78/7218885/e1f47844c251/sensors-20-02208-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b78/7218885/3512b3614a96/sensors-20-02208-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b78/7218885/f9f3db14a595/sensors-20-02208-g0A3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b78/7218885/b7868ed3e202/sensors-20-02208-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b78/7218885/f6ccee754552/sensors-20-02208-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b78/7218885/0118f7753c25/sensors-20-02208-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8b78/7218885/cfaa710f94ee/sensors-20-02208-g004a.jpg

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本文引用的文献

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Front Psychol. 2018 Nov 30;9:2364. doi: 10.3389/fpsyg.2018.02364. eCollection 2018.
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