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Human factors affecting ventilation in Australian classrooms during the COVID-19 pandemic: Toward insourcing occupants' proficiency in ventilation management
Frontiers in Computer Science ; 4, 2022.
Статья в английский | Web of Science | ID: covidwho-2032745
ABSTRACT
Underventilation in classrooms is associated with poorer academic performance and greater transmission risk of COVID-19. In a study involving data from CO2 logging in 67 classrooms in Brisbane, Australia, it was found that more than half of the classrooms monitored experienced between 5 and 50 separate instances of CO2 concentrations exceeding 1,800 ppm, a level at which cognitive performance reductions have been recorded and which is considered high risk for COVID-19 transmission. The research identifies a number of human-related factors affecting ventilation in certain classrooms, including the disabling of window operation to minimize the potential for student interference, keeping windows closed in naturally ventilated buildings to improve energy efficiency, difficult to reach switches for exhaust fans and perceptions of the likelihood of remedial action being taken. Identifying Inbodied Interaction as a useful lens to enable users themselves to better identify and remedy instances of poor IAQ, the paper contributes (1) Insight into the CO2 concentrations experienced in Australian classrooms during the COVID pandemic;(2) Identification of human-factors contributing to the ventilation-and underventilation-of the rooms monitored;and (3) Suggestions for how to foster greater awareness of ventilation among classroom occupants and translate awareness into more active, informed, and healthier ventilation behaviors from occupants, using principles of Inbodied Interaction.
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Полный текст: Имеется в наличии Коллекция: Базы данных международных организаций база данных: Web of Science Язык: английский Журнал: Frontiers in Computer Science Год: 2022 Тип: Статья

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Полный текст: Имеется в наличии Коллекция: Базы данных международных организаций база данных: Web of Science Язык: английский Журнал: Frontiers in Computer Science Год: 2022 Тип: Статья