Evaluating the effectiveness of nighttime natural virtual scene on relaxation and sleepiness

IF 4.9 2区 医学 Q1 ENGINEERING, BIOMEDICAL Biomedical Signal Processing and Control Pub Date : 2025-07-01 Epub Date: 2025-02-08 DOI:10.1016/j.bspc.2025.107596
En-Chen Chen , Tsai-Yen Li
{"title":"Evaluating the effectiveness of nighttime natural virtual scene on relaxation and sleepiness","authors":"En-Chen Chen ,&nbsp;Tsai-Yen Li","doi":"10.1016/j.bspc.2025.107596","DOIUrl":null,"url":null,"abstract":"<div><div>The natural environment significantly affects the release of human stress and sleep quality. Variations in lighting and color brought about by the sun play a crucial role in the regulation of our physiological functions and circadian rhythm. This study aims to examine the effects of virtual beach environments at different times of the day (including day and nighttime) on relaxation and the promotion of sleepiness, compared to a control group using self-relaxation methods. The research variables included self-relaxation, daytime, and nighttime scenarios, with the nighttime scene featuring a starry sky and a campfire. We analyze participants’ physiological and psychological responses to uncover the impact of virtual scenes and self-regulation on transitioning from stress to relaxation. Psychological questionnaires gauged the levels of relaxation, calmness, and sleepiness. Physiologically, brain waves, heart rate variability, and heartbeat changes were evaluated. The results of our study indicate that all three groups could relax from stress, with participants immersed in the starry sky scene exhibiting the most significant reduction in heart rate and an increased sense of sleepiness. The self-relaxation group showed higher theta waves than other relaxation groups, possibly tied to deep contemplation. Through this study, we gained a better understanding of the effects of natural virtual reality environments on stress relief and the promotion of drowsiness. We plan to use the starry sky with a campfire virtual scene in experiments involving individuals who struggle with sleep difficulties in the future.</div></div>","PeriodicalId":55362,"journal":{"name":"Biomedical Signal Processing and Control","volume":"105 ","pages":"Article 107596"},"PeriodicalIF":4.9000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Signal Processing and Control","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1746809425001077","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/8 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0

Abstract

The natural environment significantly affects the release of human stress and sleep quality. Variations in lighting and color brought about by the sun play a crucial role in the regulation of our physiological functions and circadian rhythm. This study aims to examine the effects of virtual beach environments at different times of the day (including day and nighttime) on relaxation and the promotion of sleepiness, compared to a control group using self-relaxation methods. The research variables included self-relaxation, daytime, and nighttime scenarios, with the nighttime scene featuring a starry sky and a campfire. We analyze participants’ physiological and psychological responses to uncover the impact of virtual scenes and self-regulation on transitioning from stress to relaxation. Psychological questionnaires gauged the levels of relaxation, calmness, and sleepiness. Physiologically, brain waves, heart rate variability, and heartbeat changes were evaluated. The results of our study indicate that all three groups could relax from stress, with participants immersed in the starry sky scene exhibiting the most significant reduction in heart rate and an increased sense of sleepiness. The self-relaxation group showed higher theta waves than other relaxation groups, possibly tied to deep contemplation. Through this study, we gained a better understanding of the effects of natural virtual reality environments on stress relief and the promotion of drowsiness. We plan to use the starry sky with a campfire virtual scene in experiments involving individuals who struggle with sleep difficulties in the future.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
评估夜间自然虚拟场景对放松和困倦的效果
自然环境对人的压力释放和睡眠质量有显著影响。太阳带来的光线和颜色的变化在调节我们的生理功能和昼夜节律中起着至关重要的作用。本研究旨在研究一天中不同时间(包括白天和晚上)的虚拟海滩环境对放松和促进困倦的影响,并与使用自我放松方法的对照组进行比较。研究变量包括自我放松、白天和夜间场景,夜间场景以星空和篝火为特征。我们分析了参与者的生理和心理反应,以揭示虚拟场景和自我调节对从压力到放松的转变的影响。心理问卷测量了放松、平静和困倦的程度。生理上,评估脑电波、心率变异性和心跳变化。我们的研究结果表明,所有三组人都可以从压力中放松下来,沉浸在星空中的参与者表现出最显著的心率降低和困倦感增加。自我放松组比其他放松组表现出更高的θ波,这可能与深度沉思有关。通过这项研究,我们更好地了解了自然虚拟现实环境对缓解压力和促进困倦的影响。我们计划在未来的实验中使用星空和篝火虚拟场景,涉及那些与睡眠困难作斗争的人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Biomedical Signal Processing and Control
Biomedical Signal Processing and Control 工程技术-工程:生物医学
CiteScore
9.80
自引率
13.70%
发文量
822
审稿时长
4 months
期刊介绍: Biomedical Signal Processing and Control aims to provide a cross-disciplinary international forum for the interchange of information on research in the measurement and analysis of signals and images in clinical medicine and the biological sciences. Emphasis is placed on contributions dealing with the practical, applications-led research on the use of methods and devices in clinical diagnosis, patient monitoring and management. Biomedical Signal Processing and Control reflects the main areas in which these methods are being used and developed at the interface of both engineering and clinical science. The scope of the journal is defined to include relevant review papers, technical notes, short communications and letters. Tutorial papers and special issues will also be published.
期刊最新文献
Calibration-based continuous blood pressure estimation using pulse-derived signals and feature normalization PPG-CAGAN: A PPG signal with coronary artery disease synthesis method based on generative adversarial learning ATSF-SFL: Adaptive spatiotemporal feature fusion and split federated learning framework based on rs-fMRI for multi-center brain disease diagnosis Assessment and characterization of the impact of pulmonary pathology on flow-induced acoustics using computational fluid dynamics A watermarking-based multimodal healthcare data protection using blockchain and deep learning
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1