Abstract The relationship between work performance and single experimental factors of temperature, relative humidity and fresh air (100% outside air) has been extensively studied, while little literature investigated quantitative interaction among these factors. In this paper, 18 subjects performed neurobehavioral tests in an artificial climate chamber under 20 experimental conditions base on central composite design. Response surface methodology was applied to visually explore the performance change of three types of tasks including perception, expression, and number calculation. Both physiological and psychological results showed that performance was more affected by relative humidity under high temperature conditions, the degree of which was 4–10% greater than that under low temperature conditions. No consistent relationship was found between performance and fresh air when temperature was below 25 °C. However, at high temperature, fresh air of 25 l/(s·per) could compensate for performance loss caused by 1–2 °C increase of temperature. In addition, interaction between relative humidity and fresh air only occurred at high temperature. The results obtained in this paper may provide convincing data for the design of personalized air supply in workplaces where air-conditioners cannot be guaranteed.

中文翻译：

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考虑多个室内环境因素之间相互作用对工作绩效的定量影响

摘要 工作绩效与温度、相对湿度和新鲜空气（100% 室外空气）等单一实验因素之间的关系已被广泛研究，而很少有文献研究这些因素之间的定量相互作用。在本文中，基于中心复合设计，18 名受试者在人工气候室中在 20 种实验条件下进行了神经行为测试。应用响应面方法直观地探索感知、表达和数计算三类任务的性能变化。生理和心理结果均表明，高温条件下相对湿度对性能的影响更大，其影响程度比低温条件下大4-10%。当温度低于 25 °C 时，性能与新鲜空气之间没有发现一致的关系。然而，在高温下，25 l/(s·per) 的新鲜空气可以补偿温度升高 1-2 °C 造成的性能损失。此外，相对湿度与新鲜空气的相互作用只发生在高温下。本文所获得的结果可为空调无法保证的工作场所的个性化送风设计提供令人信服的数据。