Exploring Green Wall Sizes as a Visual Property Affecting Restoration Effect and Stress Recovery in a Virtual Office Room

财产(哲学) 压力(语言学) 计算机科学 人机交互 环境科学 语言学 认识论 哲学
作者
Alireza Sedghikhanshir,Yimin Zhu,Melissa R. Beck,Amirhosein Jafari
出处
期刊:Computing in Civil Engineering [American Society of Civil Engineers]
卷期号:: 189-196 被引量:1
标识
DOI:10.1061/9780784485231.023
摘要

Natural environments potentially have positive impacts on stress recovery by restoring depleted sources. Integrating natural objects into the built environments can create a restorative built environment. On the other hand, some factors, such as visual stimuli and their properties, can impede the design intentions of such restorative environments. Differences between visual properties of natural environments may change restorative effects by affecting human attention. This study aims to investigate the impact of the size of a green wall on restoration, stress, and attention in a virtual office environment. Twenty participants were recruited to experience two comparable environments with different green wall settings, a large and a small green wall. During the experiment, participants' physiological responses, heart rate (HR), electrodermal activity (EDA), stress index (SI), and eye movements were measured to assess their stress and attention. The restorative state scale survey was administered after each environmental exposure. The results showed that there were no significant differences between responses recorded in two different settings. A small sample size may explain these results since higher restoration and stress reduction were expected in a virtual environment with a large green wall. In addition, comparing physiological responses during the stressor task and restoration in each session showed the restoration effect of exposing to both virtual environments with a green wall. The results are further explained using the green wall size selection, importance of including a non-green wall condition, and the impact of sample size.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
SDLC完成签到,获得积分10
刚刚
丘比特的应助被CLW采纳,获得10
1秒前
懒羊羊发布了新的文献求助10
3秒前
666完成签到 ,获得积分10
3秒前
安详亦绿完成签到 ,获得积分10
3秒前
南栀完成签到 ,获得积分20
4秒前
LU完成签到,获得积分10
5秒前
5秒前
Jasper的应助被DW采纳,获得200
6秒前
cql发布了新的文献求助10
6秒前
科研通AI6.4的应助被羰醛采纳,获得10
6秒前
9秒前
bkagyin的应助被vavel采纳,获得10
10秒前
11秒前
11秒前
GQ关注了科研通微信公众号
11秒前
anthonykk发布了新的文献求助10
12秒前
12秒前
123的应助被科研通管家采纳,获得10
12秒前
SciGPT的应助被科研通管家采纳,获得10
13秒前
13秒前
英俊的铭的应助被opao采纳,获得10
13秒前
大个的应助被科研通管家采纳,获得10
13秒前
情怀的应助被科研通管家采纳,获得10
13秒前
13秒前
领导范儿的应助被科研通管家采纳,获得10
13秒前
共享精神的应助被科研通管家采纳,获得10
13秒前
molihuakai的应助被科研通管家采纳,获得10
13秒前
ZZDXXX完成签到,获得积分10
13秒前
852的应助被科研通管家采纳,获得10
13秒前
领导范儿的应助被科研通管家采纳,获得10
14秒前
天天快乐的应助被科研通管家采纳,获得10
14秒前
英俊的铭的应助被科研通管家采纳,获得10
14秒前
李爱国的应助被科研通管家采纳,获得10
14秒前
Akim的应助被科研通管家采纳,获得10
14秒前
CipherSage的应助被科研通管家采纳,获得10
14秒前
14秒前
xing_xing的应助被科研通管家采纳,获得20
14秒前
14秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Aspects of Post-SPE Phonology 2000
Nanocomposite Removal of Pesticides from Wastewater 1000
Rosenblum, Global Change Biology 800
Final Report for the 2-D Test of Model 901 Rotor and Wing Airfoils (BSWT 592) 528
Berberine regulates the TLR4 signaling pathway to suppress hypoxia-induced proliferation and migration of pulmonary arterial smooth muscle cells 520
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 物理 有机化学 化学工程 内科学 生物化学 复合材料 催化作用 心理学 细胞生物学 无机化学 电极 光电子学 人工智能
热门帖子
关注 科研通微信公众号,转发送积分 7898127
求助须知:如何正确求助?哪些是违规求助? 9406489
关于积分的说明 20871993
捐赠科研通 7501232
什么是DOI,文献DOI怎么找? 3359972
关于科研通互助平台的介绍 2498123
邀请新用户注册赠送积分活动 2389433