Virtual reality-based experiments were conducted to assess the impacts of environmental pollutants (i.e., noise, vibration, and dust) on work performance. In these experiments, concrete chipping work was performed in eight different exposure environments based on exposure to three environmental pollutants to measure data related to work performance: (i) work performance metrics, including work duration and accuracy; and (ii) mental workload. The relationships between data related to work performance and environmental pollutants were then analyzed using statistical techniques as follows: First, work duration was statistically significantly affected by dust, while work accuracy was significantly affected by vibration. Second, mental workload was statistically significantly affected by all three environmental pollutants, increasing with the number of environmental pollutants the workers exposed to. Third, all data related to work performance were found to be correlated with each other. These findings provide insights into improving work performance by managing environmental pollutants in the construction industry.

中文翻译：

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使用虚拟现实环境污染物对工作绩效的影响


进行了基于虚拟现实的实验，以评估环境污染物（即噪音、振动和灰尘）对工作绩效的影响。在这些实验中，根据三种环境污染物的暴露情况，在八种不同的暴露环境中进行混凝土碎裂工作，以测量与工作绩效相关的数据：（i） 工作绩效指标，包括工作持续时间和准确性;（ii） 脑力负荷。然后使用统计技术分析与工作绩效相关的数据与环境污染物之间的关系，如下所示：首先，工作持续时间受灰尘的统计学显着影响，而工作精度受振动的显着影响。其次，脑力负荷受到所有三种环境污染物的统计学显着影响，随着工人暴露于的环境污染物数量而增加。第三，发现所有与工作绩效相关的数据都是相互关联的。这些发现为通过管理建筑行业的环境污染物来提高工作绩效提供了见解。