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首页> 外文期刊>Building and Environment >Local body skin temperature-driven thermal sensation predictive model for the occupant's optimum productivity
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Local body skin temperature-driven thermal sensation predictive model for the occupant's optimum productivity

机译：局部肌肤温度驱动的热敏热敏性预测模型，为占用者的最佳生产力

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This study aims to understand the comprehensive relationship between indoor temperature, physiological sig-nals, thermal sensation, and cognitive performance and estimate thermal sensation for optimum productivity. A series of human experiments were conducted with 48 participants, and local skin temperatures and thermal sensation data were collected in 6 temperatures. The participants took two cognitive performance tests, OSPAN (Operation Span Task) and Vigilance test, to quantify their productivity.This study found that relatively high skin temperature of specific local body spots (Arm, wrist (back), wrist (In), back, and neck) were correlated negatively with the occupant's cognitive performance. Also, there were sig-nificant differences by gender in cognitive performances and physiological signals in the same indoor temper-ature. The mean skin temperature differences between males and females of most local body spots were more significant in the high-performing group than the low-performing group for the vigilance test. Local skin tem-perature differences by gender were more significant in the vigilance test (response time) than the OSPAN (working memory). Additionally, gender and two local skin temperatures (wrist (back) and neck) were accountable to estimate thermal sensation for optimum productivity by utilizing the J48 decision tree algorithm.This study provides new insights that the occupant's local body skin temperatures are correlated significantly with the occupant's cognitive performance (response time and working memory) in different indoor temperature conditions, and a single or combined local skin temperatures can be used as a variable to estimate individualized thermal comfort for the occupant's optimum productivity.
机译：本研究旨在了解室内温度，生理学信号，热敏和认知性能之间的综合关系，以及最佳生产率的估算热敏。通过48名参与者进行一系列人类实验，并在6个温度下收集局部皮肤温度和热敏数据。参与者采取了两次认知性能测试，OSPAN（操作跨度任务）和警惕性测试，以量化它们的生产力。本研究发现，特定局部身体斑点的皮肤温度相对较高（手臂，手腕（返回），手腕（in），返回和颈部）与乘员的认知性能负相关。此外，在相同的室内脾气性的认知性能和生理信号中，性别的性别差异存在显着差异。在高性能组中，大多数局部体斑的男性和女性之间的平均皮肤温度差异比低性能对警症测试的低性能群体更显着。在警惕测试（响应时间）中，性别的局部皮肤温度差异比Ospan（工作记忆）更重要。此外，性别和两种局部皮肤温度（手腕（后）和颈部）是对通过利用J48决策树算法来估计最佳生产率的热感觉。本研究提供了新的见解，即乘员的局部身体皮质温度与占用者的认知性能（响应时间和工作记忆）在不同的室内温度条件下，单个或组合的局部皮肤温度可用作估算乘员最佳生产率的个性化热舒适度。

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