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8th International Conference on Computational Science and Technology, ICCST 2021 ; 835:867-879, 2022.
Article in English | Scopus | ID: covidwho-1787765

ABSTRACT

Due to the continuing impact of COVID-19, people spend an increasing amount of time on working or studying from home. The indoor light environment became quite important since it can affect people's physical and mental health. In order to reduce human fatigue resulting from continuous indoor working or studying and to improve work efficiency, and also hope to contribute to the research of indoor light environment design, this paper explores the correlation between indoor light environments and fatigue. Through laboratory simulation of indoor light environment. Participants are asked to complete the task stimulation test and filled in the subjective fatigue questionnaire with three different illumination levels. Their EEG (ElectroEncephaloGraphy), eye movement, and other physiological data are also monitored at the same time. The participants’ fatigue degree is statistically analyzed under the 300 lx, 570 lx, and 870 lx illumination. The results showed that the lighting environment has a strong correlation with human fatigue. Fatigue degree varies the most from 570 to 870 lx. There is a largest error rate gap of task test up to 20% under 300 lx and 870 lx illumination. As the illuminance increases, the fatigue degree has a visible trend of increase as well, and it is the most obvious under the 870 lx illumination. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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