Impact of environmental pollutants on work performance using virtual reality

  • Hong, Juwon; 
  • Song, Sangkil; 
  • Ahn, Chiwan; 
  • Koo, Choongwan; 
  • Lee, Dong-Eun; 
  • 외 2명
Citations

WEB OF SCIENCE

4
Citations

SCOPUS

5

초록

Virtual reality-based experiments were conducted to assess the impacts of environmental pollutants (i.e., noise, vibration, and dust) on work performance. In these experiments, concrete chipping work was performed in eight different exposure environments based on exposure to three environmental pollutants to measure data related to work performance: (i) work performance metrics, including work duration and accuracy; and (ii) mental workload. The relationships between data related to work performance and environmental pollutants were then analyzed using statistical techniques as follows: First, work duration was statistically significantly affected by dust, while work accuracy was significantly affected by vibration. Second, mental workload was statistically significantly affected by all three environmental pollutants, increasing with the number of environmental pollutants the workers exposed to. Third, all data related to work performance were found to be correlated with each other. These findings provide insights into improving work performance by managing environmental pollutants in the construction industry.

키워드

Environmental pollutant; Work performance; Mental workload; Virtual reality; Construction work; Statistical analysis; CONSTRUCTION; DUST; PRODUCTIVITY; VIBRATION; NOISE; SILICA
제목
Impact of environmental pollutants on work performance using virtual reality
저자
Hong, Juwon; Song, Sangkil; Ahn, Chiwan; Koo, Choongwan; Lee, Dong-Eun; Park, Hyo Seon; Hong, Taehoon
DOI
10.1016/j.autcon.2024.105833
발행일
2024-12-01
유형
Article
저널명
Automation in Construction
권
168