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Trees, grass, or concrete? The effects of different types of environments on stress reduction

机译:树木,草或混凝土? 不同类型环境对压力减少的影响

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摘要

Despite a number of studies about how natural environments can affect human health and well-being, few have examined the potentially different effects of different types of vegetation. We therefore designed and conducted a randomised controlled experiment to identify the restorative potential of different types of trees and grass in an urban virtual reality (VR) environment. We initially induced stress in participants (n = 89) by asking them to complete a 5-minute math test while listening to noise, after which they were randomly assigned each to one of three VR environments: a courtyard with grass, a courtyard with trees, or a courtyard devoid of any vegetation. Participants were immersed in the VR experience for 10 min, during which we measured skin conductance levels (SCLs). We also assessed participants' positive and negative affect scores at baseline, before VR immersion, and after VR immersion. Repeated-measures analysis of variance with a general linear model indicated that the grassy environment had the greatest effect on positive affect. SCLs during the second half of VR immersion were significantly lower in both the grass and tree environments than in the concrete-only environment. Our results are consistent with Ulrich's theory that unlearned factors of evolutionary origin influence affective responses to environments. Our findings provide preliminary practical evidence for landscape planning that can maximise the restorative effects of urban environments.
机译:尽管有一些关于自然环境如何影响人类健康和福祉的研究,但很少有人探讨了不同类型植被的潜在不同影响。因此,我们设计并进行了随机对照实验,以确定城市虚拟现实(VR)环境中不同类型的树木和草的恢复潜力。我们最初通过要求他们在收听噪声的同时完成5分钟的数学测试,在噪音中完成5分钟的数学测试,之后,他们最初引起压力(n = 89),之后将它们随机分配给三个VR环境中的一个:一个有草的庭院,一个树木或没有任何植被的庭院。将参与者沉浸在VR体验中10分钟,在此期间我们测量了皮肤电导水平(SCL)。在VR浸没之前,我们还评估了基线的参与者的正面和负面影响分数,并在VR浸没后。重复措施与一般线性模型的差异分析表明,草地环境对积极影响产生了最大的影响。在GR浸泡的下半部分期间SCL在草和树木环境中显着降低,而不是仅在混凝土环境中。我们的结果与Ulrich的理论一致,即进化原产地的无法读数的因素会影响对环境的情感反应。我们的调查结果为横向规划提供了初步实际证据,可以最大限度地提高城市环境的恢复效果。

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