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通过神经活动探索家庭环境特征与恢复效果之间的关系。

Exploring the relationship between home environmental characteristics and restorative effect through neural activities.

作者信息

Shen Tao, Wang JunYao, Fu Yingfan

机构信息

College of Design and Innovation, Tongji University, Shanghai, China.

Academy of Art and Design, GongQing Institute of Science and Technology, Gongqing City, China.

出版信息

Front Hum Neurosci. 2023 Sep 20;17:1201559. doi: 10.3389/fnhum.2023.1201559. eCollection 2023.

DOI:10.3389/fnhum.2023.1201559
PMID:37799189
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10548391/
Abstract

As society and the economy have advanced, the focus of architectural and interior environment design has shifted from practicality to eliciting emotional responses, such as stimulating environments and innovative inclusive designs. Of particular interest is the home environment, as it is best suited for achieving restorative effects, leading to a debate between interior qualities and restorative impact. This study explored the relationships between home characteristics, restorative potential, and neural activities using the Neu-VR. The results of the regression analysis revealed statistically significant relationships between interior properties and restorative potential. We examined each potential characteristic of the home environment that could have a restorative impact and elucidated the environmental characteristics that should be emphasized in residential interior design. These findings contribute evidence-based knowledge for designing therapeutic indoor environments. And combining different restorative potential environments with neural activity, discussed new neuro activities which may predict restorativeness, decoded the new indicators of neuro activity for environmental design.

摘要

随着社会和经济的发展,建筑与室内环境设计的重点已从实用性转向引发情感反应,例如营造刺激的环境和创新的包容性设计。家庭环境尤其值得关注,因为它最适合实现恢复性效果,这引发了关于室内品质与恢复性影响之间的争论。本研究使用Neu-VR探索了家庭特征、恢复潜力和神经活动之间的关系。回归分析结果显示,室内属性与恢复潜力之间存在统计学上的显著关系。我们研究了家庭环境中可能具有恢复性影响的每个潜在特征,并阐明了住宅室内设计中应强调的环境特征。这些发现为设计治疗性室内环境提供了基于证据的知识。并且将不同恢复潜力的环境与神经活动相结合,探讨了可能预测恢复性的新神经活动,解码了用于环境设计的神经活动新指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/433a/10548391/4d911f6f1193/fnhum-17-1201559-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/433a/10548391/f6d83d1e8a58/fnhum-17-1201559-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/433a/10548391/4d911f6f1193/fnhum-17-1201559-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/433a/10548391/f6d83d1e8a58/fnhum-17-1201559-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/433a/10548391/4d911f6f1193/fnhum-17-1201559-g002.jpg

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