School of Engineering Practice and Innovation-Entrepreneurship Education, Dalian Polytechnic University, Dalian 116034, China.
School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, China.
Int J Environ Res Public Health. 2022 Jun 3;19(11):6866. doi: 10.3390/ijerph19116866.
The indoor lighting environment is a key factor affecting human health and safety. In particular, people have been forced to study or work more for long periods of time at home due to the COVID-19 pandemic. In this study, we investigate the influence of physical indoor environmental factors, correlated color temperature (CCT), and illumination on computer work fatigue. We conducted a within-subject experiment consisting of a 10 min-long task test under two different illumination settings (300 lx and 500 lx) and two CCTs (3000 K and 4000 K). Physiological signals, such as electroencephalogram (EEG), electrocardiograph (ECG), and eye movement, were monitored during the test to objectively measure fatigue. The subjective fatigue of eight participants was evaluated based on a questionnaire conducted after completing the test. The error rate of the task test was taken as the key factor representing the working performance. Through the analysis of the subjective and objective results, computer work fatigue was found to be significantly impacted by changes in the lighting environment, where human fatigue was negatively correlated with illumination and CCT. Improving the illumination and CCT of the work environment, within the scope of this study, helped to decrease the fatigue degree-that is, the fatigue degree was the lowest under the 4000 K + 500 lx environment, while it was relatively high at 3000 K + 300 lx. Under indoor environment conditions, the CCT factor was found to have the greatest effect on computer work fatigue, followed by illumination. The presented results are expected to be a valuable reference for improving the satisfaction associated with the lighting environment and to serve as guidance for researchers and reviewers conducting similar research.
室内照明环境是影响人类健康和安全的关键因素。特别是由于 COVID-19 大流行,人们被迫长时间在家中学习或工作。在这项研究中,我们调查了物理室内环境因素、相关色温(CCT)和照度对计算机工作疲劳的影响。我们进行了一项 10 分钟的任务测试,参与者在两种不同的照明环境(300 lx 和 500 lx)和两种 CCT(3000 K 和 4000 K)下进行。在测试过程中监测了生理信号,如脑电图(EEG)、心电图(ECG)和眼球运动,以客观测量疲劳。根据测试完成后进行的问卷调查,评估了八名参与者的主观疲劳程度。任务测试的错误率被视为代表工作绩效的关键因素。通过对主观和客观结果的分析,发现计算机工作疲劳受到照明环境变化的显著影响,其中人的疲劳与照度和 CCT 呈负相关。在本研究范围内,改善工作环境的照度和 CCT 有助于降低疲劳程度,即 4000 K + 500 lx 环境下的疲劳程度最低,而 3000 K + 300 lx 环境下的疲劳程度相对较高。在室内环境条件下,CCT 因素被发现对计算机工作疲劳的影响最大,其次是照度。研究结果有望为改善与照明环境相关的满意度提供有价值的参考,并为进行类似研究的研究人员和审稿人提供指导。