Impact of environmental pollutants on work performance using virtual reality

被引:0
作者
Hong, Juwon [1 ]
Song, Sangkil [1 ]
Ahn, Chiwan [1 ]
Koo, Choongwan [2 ]
Lee, Dong-Eun [3 ]
Park, Hyo Seon [1 ]
Hong, Taehoon [1 ]
机构
[1] Yonsei Univ, Dept Architecture & Architectural Engn, Seoul, South Korea
[2] Incheon Natl Univ, Div Architecture & Urban Design, Incheon 22012, South Korea
[3] Kyungpook Natl Univ, Sch Architecture Civil Environm & Energy Engn, Daegu, South Korea
基金
新加坡国家研究基金会;
关键词
Environmental pollutant; Work performance; Mental workload; Virtual reality; Construction work; Statistical analysis; CONSTRUCTION; DUST; PRODUCTIVITY; VIBRATION; NOISE; SILICA;
D O I
10.1016/j.autcon.2024.105833
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页数:12
相关论文
共 75 条
  • [1] How Immersive Virtual Reality Safety Training System Features Impact Learning Outcomes: An Experimental Study of Forklift Training
    Abbas, Ali
    Seo, JoonOh
    Ahn, Seungjun
    Luo, Yanfang
    Wyllie, Mitchell J.
    Lee, Gun
    Billinghurst, Mark
    [J]. JOURNAL OF MANAGEMENT IN ENGINEERING, 2023, 39 (01)
  • [2] Impact of poor labor productivity on construction project cost
    Abdel-Hamid, Mohamed
    Mohamed Abdelhaleem, Hanaa
    [J]. INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT, 2022, 22 (12) : 2356 - 2363
  • [3] Evaluation of hydraulic excavator Human-Machine Interface concepts using NASA TLX
    Akyeampong, Joseph
    Udoka, Silvanus
    Caruso, Giandomenico
    Bordegoni, Monica
    [J]. INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 2014, 44 (03) : 374 - 382
  • [4] Productivity monitoring in building construction projects: a systematic review
    Alaloul, Wesam Salah
    Alzubi, Khalid M.
    Malkawi, Ahmad B.
    Al Salaheen, Marsail
    Musarat, Muhammad Ali
    [J]. ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2022, 29 (07) : 2760 - 2785
  • [5] [Anonymous], 2008, The Construction Chart Book
  • [6] [Anonymous], 2024, Share of female employess in the construction industry in the United States from 2002 to 2022
  • [7] Examination of Project Duration, Project Intensity, and Timing of Cost Certainty in Highway Project Delivery Methods
    Antoine, Arthur L. C.
    Alleman, Douglas
    Molenaar, Keith R.
    [J]. JOURNAL OF MANAGEMENT IN ENGINEERING, 2019, 35 (01)
  • [8] Simulation-based framework for optimal construction equipment allocation considering construction noise emissions
    Baek, Hoyoung
    Jung, Seunghoon
    Hong, Juwon
    Hong, Taehoon
    [J]. JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING, 2023, 22 (05) : 2959 - 2976
  • [9] Effects of high ambient temperature on construction workers performance: A longitudinal empirical study
    Bendak, Salaheddine
    Jouaret, Rene
    Rashid, Hamad
    [J]. JOURNAL OF SAFETY RESEARCH, 2022, 81 : 197 - 202
  • [10] Sample size requirements for estimating Pearson, Kendall and Spearman correlations
    Bonett, DG
    Wright, TA
    [J]. PSYCHOMETRIKA, 2000, 65 (01) : 23 - 28