Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Local body skin temperature-driven thermal sensation predictive model for the occupant's optimum productivity
https://orcid.org/0000-0001-8505-3619
Abstract This study aims to understand the comprehensive relationship between indoor temperature, physiological signals, 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 significant differences by gender in cognitive performances and physiological signals in the same indoor temperature. 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 temperature 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.
Highlights Higher skin temperatures are correlated negatively with the cognitive performance. Certain cognitive performance can be improved in the low-temperature environment. Skin temperature differences by gender are more significant in specific cognitive tasks. Six preliminary thermal comfort predictive equations were determined for productivity. Three human factors supported an OTS estimation for productivity above 90 % accuracy.
Local body skin temperature-driven thermal sensation predictive model for the occupant's optimum productivity
https://orcid.org/0000-0001-8505-3619
Abstract This study aims to understand the comprehensive relationship between indoor temperature, physiological signals, 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 significant differences by gender in cognitive performances and physiological signals in the same indoor temperature. 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 temperature 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.
Highlights Higher skin temperatures are correlated negatively with the cognitive performance. Certain cognitive performance can be improved in the low-temperature environment. Skin temperature differences by gender are more significant in specific cognitive tasks. Six preliminary thermal comfort predictive equations were determined for productivity. Three human factors supported an OTS estimation for productivity above 90 % accuracy.
Local body skin temperature-driven thermal sensation predictive model for the occupant's optimum productivity
https://orcid.org/0000-0001-8505-3619
Abstract This study aims to understand the comprehensive relationship between indoor temperature, physiological signals, 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 significant differences by gender in cognitive performances and physiological signals in the same indoor temperature. 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 temperature 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.
Highlights Higher skin temperatures are correlated negatively with the cognitive performance. Certain cognitive performance can be improved in the low-temperature environment. Skin temperature differences by gender are more significant in specific cognitive tasks. Six preliminary thermal comfort predictive equations were determined for productivity. Three human factors supported an OTS estimation for productivity above 90 % accuracy.
Local body skin temperature-driven thermal sensation predictive model for the occupant's optimum productivity
Yeom, Dongwoo Jason (Autor:in) / Delogu, Franco (Autor:in)
Building and Environment ; 204
28.07.2021
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
The impact of occupant's thermal sensitivity on adaptive thermal comfort model
| BASE | 2021