Quantifying the effects of luminous properties on human visual and non-visual responses in indoor environments: An integrative lighting network

IF 7.1 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
Dandan Hou , Ming Ronnier Luo , Yandan Lin
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Abstract

Artificial lighting is a critical element in indoor environments such as offices, educational facilities, and healthcare settings. However, the dose-response relationships between luminous properties and human responses remain unclear, hindering the scientific determination of lighting parameters in indoor design. This study aims to quantify the impact of luminous properties on human visual and non-visual responses through psychophysical experiments, exploring the correlations and causal relationships between these responses and environmental factors, ultimately establishing a quantitative integrative lighting network. Within the neuroscientific framework of visual and non-visual pathways, this study hypothesizes that 18 luminous properties positively influence five typical human responses: visual preference, visual performance, fatigue, alertness, and emotion. Data were collected from 65 participants (30 males and 35 females) under 28 common indoor lighting conditions by Karolinska Sleepiness Scale (KSS), preference scale, Positive and Negative Affect Schedule (PANAS), d2 Test of Attention, and fatigue scale. Correlation and multiple linear regression analyses identified significant luminous properties associated with human responses and developed optimal regression models that explained 58.7 % of the variance in visual preference, 75.5 % in visual performance, 57.0 % in fatigue, 70.2 % in alertness, and 59.0 % in positive emotion. Further mediation regression analysis revealed the influence of color quality (V1) on alertness was fully mediated by the impact of spectrum on non-visual components (NV), as was the influence of light distribution and illuminance (V2) on emotion. Based on these findings, an integrative lighting network was constructed, providing essential quantitative evidence and guidelines for designing indoor lighting environments to meet diverse functional needs.
量化室内环境中光照特性对人类视觉和非视觉反应的影响:综合照明网络
人工照明是办公室、教育设施和医疗机构等室内环境的关键因素。然而,光照特性与人体反应之间的剂量-反应关系仍不明确,阻碍了室内设计中照明参数的科学确定。本研究旨在通过心理物理实验,量化光照特性对人类视觉和非视觉反应的影响,探索这些反应与环境因素之间的相关性和因果关系,最终建立一个定量的综合照明网络。在视觉和非视觉通路的神经科学框架内,本研究假设 18 种光照特性会积极影响人类的五种典型反应:视觉偏好、视觉表现、疲劳、警觉性和情绪。在 28 种常见室内照明条件下,通过卡罗林斯卡嗜睡量表(KSS)、偏好量表、积极和消极情绪表(PANAS)、d2 注意力测试和疲劳量表收集了 65 名参与者(30 名男性和 35 名女性)的数据。相关和多元线性回归分析确定了与人类反应相关的重要光照特性,并建立了最佳回归模型,可解释 58.7% 的视觉偏好差异、75.5% 的视觉表现差异、57.0% 的疲劳差异、70.2% 的警觉差异和 59.0% 的积极情绪差异。进一步的中介回归分析显示,色彩质量(V1)对警觉性的影响完全由光谱对非视觉成分(NV)的影响所中介,而光线分布和照度(V2)对情绪的影响也是如此。基于这些发现,我们构建了一个综合照明网络,为设计室内照明环境以满足不同的功能需求提供了重要的定量证据和指导。
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来源期刊
Building and Environment
Building and Environment 工程技术-工程:环境
CiteScore
12.50
自引率
23.00%
发文量
1130
审稿时长
27 days
期刊介绍: Building and Environment, an international journal, is dedicated to publishing original research papers, comprehensive review articles, editorials, and short communications in the fields of building science, urban physics, and human interaction with the indoor and outdoor built environment. The journal emphasizes innovative technologies and knowledge verified through measurement and analysis. It covers environmental performance across various spatial scales, from cities and communities to buildings and systems, fostering collaborative, multi-disciplinary research with broader significance.
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