An Investigation of Indoor Environment Quality on Occupants’ Thermal Responses, Health, and Productivity: A Study Based on Physiological Data in Occupied Office Space DOI Creative Commons

Mahatma Sindu Suryo,

Masayuki Ichinose, Yoshihiro Kuroda

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(11), P. 3562 - 3562

Published: Nov. 8, 2024

This study explores the impact of Indoor Environment Quality (IEQ) on health and productivity office workers in an building Fujisawa, Kanagawa, Japan. Previous studies have shown that IEQ can affect physiological responses occupants, such as skin temperature, heart rate, metabolic which are indicators productivity. However, most took place controlled laboratory environments, may not accurately represent real-life experiences. The collected subjective objective data from actual occupied space, including perceptions IEQ, health, productivity, measurements parameters thermal environment, light indoor air quality, acoustics. used correlation linear regression methods to examine relationship between data, stable environment low physical intensity work contribute weak responses, health–productivity variables. results this provide insights into how affects psychological well-being, performance real-world settings.

Language: Английский

Assessing urban greenery impact on human psychological and physiological responses through virtual reality DOI
Gao Shan,

Yumeng Ma,

Chi‐Hsiang Wang

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112696 - 112696

Published: Feb. 1, 2025

Language: Английский

Citations

2
Evaluating psychophysiological responses based on the proximity and type of window view using virtual reality DOI
Dong Keun Oh,

Jounghoe Heo,

Hyounseung Jang

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112575 - 112575

Published: Jan. 1, 2025

Language: Английский

Citations

1
Reinforcement Learning for Control and Optimization of Real Buildings: Identifying and Addressing Implementation Hurdles DOI Creative Commons
Lotta Kannari, Nina Wessberg,

Sara Hirvonen

et al.

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112283 - 112283

Published: March 1, 2025

Language: Английский

Citations

1
Vision-based personal thermal comfort modeling under facial occlusion scenarios DOI
Guanying Huang, Dezhi Li, S. Thomas Ng

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115566 - 115566

Published: March 1, 2025

Language: Английский

Citations

0
Exploring Acclimatization Time in Test-Room Environments via Physiological Indicators: Evolving Human-Centric Personalized Comfort Measurement Procedures DOI
Verônica Martins Gnecco,

Agnese Chiucchiù,

Silvia Angela Mansi

et al.

Building and Environment, Journal Year: 2025, Volume and Issue: unknown, P. 112924 - 112924

Published: March 1, 2025

Language: Английский

Citations

0
Interpretable general thermal comfort model based on physiological data from wearable bio sensors: Light Gradient Boosting Machine (LightGBM) and SHapley Additive exPlanations (SHAP) DOI
Hyunsoo Kim, Gaang Lee, Hyeunguk Ahn

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: unknown, P. 112127 - 112127

Published: Oct. 1, 2024

Language: Английский

Citations

1
An Investigation of Indoor Environment Quality on Occupants’ Thermal Responses, Health, and Productivity: A Study Based on Physiological Data in Occupied Office Space DOI Creative Commons

Mahatma Sindu Suryo,

Masayuki Ichinose, Yoshihiro Kuroda

et al.

Buildings, Journal Year: 2024, Volume and Issue: 14(11), P. 3562 - 3562

Published: Nov. 8, 2024

This study explores the impact of Indoor Environment Quality (IEQ) on health and productivity office workers in an building Fujisawa, Kanagawa, Japan. Previous studies have shown that IEQ can affect physiological responses occupants, such as skin temperature, heart rate, metabolic which are indicators productivity. However, most took place controlled laboratory environments, may not accurately represent real-life experiences. The collected subjective objective data from actual occupied space, including perceptions IEQ, health, productivity, measurements parameters thermal environment, light indoor air quality, acoustics. used correlation linear regression methods to examine relationship between data, stable environment low physical intensity work contribute weak responses, health–productivity variables. results this provide insights into how affects psychological well-being, performance real-world settings.

Language: Английский

Citations

0