A Review of Eye-Tracking Applications in Biophilic Design DOI Creative Commons
Yuchen Liu, Jin Zhou

Building and Environment, Journal Year: 2024, Volume and Issue: 267, P. 112179 - 112179

Published: Oct. 9, 2024

Language: Английский

A comprehensive review of research on indoor cognitive performance using electroencephalogram technology DOI
Nan Zhang, Chao Liu, Jiaxin Li

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 257, P. 111555 - 111555

Published: April 24, 2024

Language: Английский

Citations

21
From characteristics to practical applications of skin temperature in thermal comfort research – A comprehensive review DOI
Jiaqi Zhao, Rui Wang,

Yeyu Wu

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 262, P. 111820 - 111820

Published: July 6, 2024

Language: Английский

Citations

11
Relative thermal pleasure model: A unified framework for understanding and predicting thermal comfort in dynamic environments DOI
Haijiao Cui, Yuxin Wu,

Yingdong He

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: 87, P. 109020 - 109020

Published: March 8, 2024

Language: Английский

Citations

10
The relationship between thermal comfort, performance, and electroencephalogram during cognitive tests at normal indoor temperatures in summer DOI
Weiwei Liu, Yifeng Wu, Lei Shi

et al.

Building and Environment, Journal Year: 2024, Volume and Issue: 257, P. 111567 - 111567

Published: April 25, 2024

Language: Английский

Citations

10
Lighting and thermal factors on human comfort, work performance, and sick building syndrome in the underground building environment DOI Open Access
Xinyue Hu, Nianping Li, Jiayuan Gu

et al.

Journal of Building Engineering, Journal Year: 2023, Volume and Issue: 79, P. 107878 - 107878

Published: Oct. 6, 2023

Language: Английский

Citations

21
Data-driven model for predicting indoor air quality and thermal comfort levels in naturally ventilated educational buildings using easily accessible data for schools DOI Creative Commons
Sen Miao, Marta Gangolells, Blanca Tejedor

et al.

Journal of Building Engineering, Journal Year: 2023, Volume and Issue: 80, P. 108001 - 108001

Published: Nov. 2, 2023

Modeling indoor air quality and thermal conditions in educational buildings is significant for protecting students' health, well-being, productivity. The predictive models existing studies were mainly built applied controlled environments with HVAC systems. These did not involve occupant-related factors, had limited scope a single building or space, required environmental monitoring data the model input. This limits applicability generalization ability of large number schools relying on natural ventilation, where are significantly affected by occupants' activities ventilation practices. Hence, this paper proposes methodology to develop data-driven predicting level comfort naturally ventilated buildings, identifies key influential factors. was developed using class-weighted random forest algorithm collected from measurement campaign. demonstrated good accuracy, ability, robustness. analysis concluded that occupancy, windows doors operation, outdoor parameters factors must be involved, whereas characteristics have no practical contribution prediction. inputs easily accessible schools. Once an initial campaign representative it can used all local without requiring sensor networks, thereby rendering "cost-effective" way assessing help relevant stakeholders improve management practices

Language: Английский

Citations

20
The effect of classroom size and ceiling height on college students’ learning performance using virtual reality technology DOI Creative Commons
Yalin Zhang, Chao Liu, Jiaxin Li

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 3, 2024

The physical characteristics of classrooms can significantly impact the and mental health as well learning performance college students. This study investigates effects classroom size ceiling height on using virtual reality technology. Four settings were created: two small (40.5 m

Language: Английский

Citations

6
Prediction of occupant thermal state via infrared thermography and explainable AI DOI
Shaoxing Zhang, Runming Yao, Hong Wei

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 312, P. 114153 - 114153

Published: April 6, 2024

Language: Английский

Citations

5
Exercise and resting periods: Thermal comfort dynamics in gym environments DOI Creative Commons
Ali Berkay Avcı, Görkem Aybars Balcı, Tahsin Başaran

et al.

Building Simulation, Journal Year: 2024, Volume and Issue: 17(9), P. 1557 - 1578

Published: Aug. 3, 2024

Abstract Physical exercise spaces emerged as popular facilities due to recognizing the significance of physical well-being. This study investigates relationship among physiological responses, human body energy transfer modes, and indoor environmental conditions in influencing thermal comfort perception within space. Seven male participants engaged a 30 min constant-work-rate cycling 20 resting period climatic chamber. The responses were recorded during experiments, body’s modes calculated using collected data. dataset was prepared 2 averages data parameters across experiment phases, including features skin temperature, core relative humidity, heart rate, oxygen consumption, heat rates through convection, radiation, evaporation, respiration, net metabolic production rate (metabolic minus external work rate), air velocity, radiant temperature. Gradient boosting regressor (GBR) selected analyzing method estimate predicted mean vote (PMV) sensation (TSV) indices periods determined study. Thus, four GBR models defined PMV-Exercise, PMV-Resting, TSV-Exercise, TSV-Resting. In order optimize models’ performances, hyperparameter tuning process executed GridSearchCV method. A permutation feature importance analysis performed, emphasizing (24.2%), temperature (17.0%), evaporative (13.1%). According results, TSV-Resting performed better, while TSV-Exercise faced challenges predicting sensations. Critically, this addresses need understanding interrelationship conditions, both spaces. results contribute operation gym environments refine their users’ is limited small sample size consisting solely participants, which may restrict generalizability findings. Future research could explore personalized control systems synergies between optimization efficiency

Language: Английский

Citations

5
Effects of lighting on task performance, stress and thermal sensation in working environments DOI
İlker Erkan,

Sercan Şimşek,

Ali Berkay Avcı

et al.

Lighting Research & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 3, 2025

Studies have shown that the correlated colour temperature (CCT) of light significantly influences individuals engaged in study and work activities. However, impact CCT on stress task performance, particularly when considering subjective preferences experiences, has been explored only to a limited extent. This aims investigate relationship between CCT, thermal sensation vote, levels performance. Forty-two healthy participants (21 female 21 male, aged 20 53 years) participated experimental study. Participants completed paper-based questionnaires across three sessions, each conducted under different CCTs (2700 K, 4000 K 6500 K). During these electroencephalogram (EEG) heart rate variability were monitored objectively assess levels. The primarily focused activity EEG alpha theta waves response varying degrees. Notably, significant was observed frontal lobes at 2700 related wave. Statistical significance also identified brain regions both among who demonstrated successful Additionally, reported optimal comfort which associated with enhanced performance reduced

Language: Английский

Citations

0