Relationship between rework of engineering drawing tasks and stress level measured from physiological signals

被引:31
作者
Chae, Jeonghyeun [1 ]
Hwang, Sungjoo [2 ]
Seo, Wonkyoung [1 ]
Kang, Youngcheol [1 ]
机构
[1] Yonsei Univ, Dept Architecture & Architectural Engn, Seoul, South Korea
[2] Ewha Womans Univ, Dept Architectural & Urban Syst Engn, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
Stress; Rework; Physiological signal; FRONTAL EEG ASYMMETRY; CONSTRUCTION WORKERS; JOB; SENSORS; MODEL; CLASSIFICATION; SATISFACTION; RECOGNITION; EMOTIONS;
D O I
10.1016/j.autcon.2021.103560
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This study investigates the relationship between stress levels and rework of engineering drawing tasks by using physiological signals and surveys. Managing excessive stress at the workplace is critical, as occupational stress adversely impacts the work performance as well as the work-life balance of employees. This study hypothesizes that rework can be a severe occupational stressor. This hypothesis was tested by measuring the stress responses of subjects before and after a rework order using two physiological signals, namely electrodermal activity (EDA) and electroencephalogram (EEG). In addition, a survey was conducted to serve as a supplementary measure for the relationship. It was found that the three measures consistently showed that rework was a stressor. The findings emphasize the importance of managing rework in the construction industry, which will eventually help construction managers control the stress levels of employees effectively.
引用
收藏
页数:12
相关论文
共 124 条
[1]  
Abhang P.A., 2016, Introduction to EEGand speech-based emotion recognition, DOI [DOI 10.1016/B978-0-12-804490-2.000038, DOI 10.1016/B978-0-12-804490-2.00003-8]
[2]  
Abuya I.O, 2016, PROJECT FRAUD CONCEP
[3]  
Adrian JJ., 1987, CONSTRUCTION PRODUCT
[4]  
Al-Nafjan A, 2017, INT J ADV COMPUT SC, V8, P419
[5]   Mental stress assessment using simultaneous measurement of EEG and fNIRS [J].
Al-Shargie, Fares ;
Kiguchi, Masashi ;
Badruddin, Nasreen ;
Dass, Sarat C. ;
Hani, Ahmad Fadzil Mohammad ;
Tang, Tong Boon .
BIOMEDICAL OPTICS EXPRESS, 2016, 7 (10) :3882-3898
[6]  
Al-Shargie F, 2015, 2015 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING APPLICATIONS (ICSIPA), P282, DOI 10.1109/ICSIPA.2015.7412205
[7]  
Albright S.C. W. C., 2010, Data analysis and decision making
[8]   Stress assessment based on EEG univariate features and functional connectivity measures [J].
Alonso, J. F. ;
Romero, S. ;
Ballester, M. R. ;
Antonijoan, R. M. ;
Mananas, M. A. .
PHYSIOLOGICAL MEASUREMENT, 2015, 36 (07) :1351-1365
[9]  
Amba RR, 2017, Int. J. Yoga-Philos. Psychol. Parapsychol, V5, P48, DOI DOI 10.4103/IJNY.IJOYPPP_4_17
[10]   EEG artifact removal-state-of-the-art and guidelines [J].
Antonio Urigueen, Jose ;
Garcia-Zapirain, Begona .
JOURNAL OF NEURAL ENGINEERING, 2015, 12 (03)