Conversational AI-based VR system to improve construction safety training of migrant workers

被引:6
|
作者
Hussain, Rahat [1 ]
Sabir, Aqsa [2 ]
Lee, Do-Yeop [1 ]
Zaidi, Syed Farhan Alam [1 ]
Pedro, Akeem [1 ]
Abbas, Muhammad Sibtain [1 ]
Park, Chansik [1 ]
机构
[1] Chung Ang Univ, Sch Architecture & Bldg Sci, Seoul 06974, South Korea
[2] Chung Ang Univ, Dept Comp Sci & Engn, Seoul 06974, South Korea
基金
新加坡国家研究基金会;
关键词
Safety training; Virtual reality; Conversational AI; Migrant workers; Knowledge transfer; User interaction and communication; AUGMENTED REALITY; VIRTUAL-REALITY; HEALTH; PERCEPTIONS; INFORMATION; EDUCATION; LABORER; SECTOR;
D O I
10.1016/j.autcon.2024.105315
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Inadequate communication during construction safety training can hinder knowledge transfer to workers, particularly migrant workers who face linguistic and literacy barriers, resulting in higher rates of fatal injuries. Additionally, limited abilities of trainers can further exacerbate this problem. To overcome these gaps, this paper presents a virtual reality-based knowledge delivery approach by integrating artificial Intelligence (AI) agent using ChatGPT as a live instructor. The system's effectiveness is assessed with participants from five countries. Results show a significant increase of 23% in scores between pre- and post -tests, indicating improved knowledge. The system performs uniformly across diverse language and educational backgrounds particularly benefiting those with prior experience. This research significantly contributes to the global construction community by improving safety training, promotes safer practices, and ultimately reduces accidents in diversified construction sites. It also opens avenues for research in immersive technologies and AI techniques, advancing in training methodologies and enhancing safety outcomes.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] Toward AI-Based Scenario Management for Cyber Range Training
    Hannay, Jo Erskine
    Stolpe, Audun
    Yamin, Muhammad Mudassar
    [J]. HCI INTERNATIONAL 2021 - LATE BREAKING PAPERS: MULTIMODALITY, EXTENDED REALITY, AND ARTIFICIAL INTELLIGENCE, 2021, 13095 : 423 - 436
  • [42] AI-Based Task Classification With Pressure Insoles for Occupational Safety
    O'Sullivan, Patricia
    Menolotto, Matteo
    Visentin, Andrea
    O'Flynn, Brendan
    Komaris, Dimitrios-Sokratis
    [J]. IEEE ACCESS, 2024, 12 : 21347 - 21357
  • [43] AI-Based Intrusion Detection System for Secure AI BOX Applications
    Chen, Jiann-Liang
    Chen, Zheng-Zhun
    Chang, Youg-Sheng
    Li, Ching-Iang
    Kao, Tien-I
    Lin, Yu-Ting
    Xiao, Yu-Yi
    Qiu, Jian-Fu
    [J]. 2023 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN INFORMATION AND COMMUNICATION, ICAIIC, 2023, : 360 - 364
  • [44] VR Training System to Help Improve Photography Skills
    Kobayashi, Hiroki
    Nagao, Katashi
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (13):
  • [45] Willingness to accept metaverse safety training for construction workers based on extended UTAUT
    Guo, Zhenxu
    Wang, Qinge
    Peng, Chunyan
    Zhuang, Sunning
    Yang, Biao
    [J]. FRONTIERS IN PUBLIC HEALTH, 2024, 11
  • [46] Proposal of a novel AI-based plant operator support system for the safety of nuclear power plants
    Takaya, Shigeru
    Seki, Akiyuki
    Yoshikawa, Masanori
    Sasaki, Naoto
    Yan, Xing
    [J]. MECHANICAL ENGINEERING JOURNAL, 2024, 11 (02):
  • [47] Participatory ergonomic design of a safety training tool for migrant workers in agriculture
    [J]. 1600, Italian Association of Chemical Engineering - AIDIC (58):
  • [48] DocOnTap: AI-based disease diagnostic system and recommendation system
    ul Abideen, Zain
    Khan, Talha Ali
    Ali, Raja Hashim
    Ali, Nisar
    Baig, Muhammad Muneeb
    Ali, Muhammad Sajid
    [J]. 2022 17TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES (ICET'22), 2022, : 148 - 153
  • [49] Understanding VR-Based Construction Safety Training Effectiveness: The Role of Telepresence, Risk Perception, and Training Satisfaction
    Yoo, Joon Woo
    Park, Jun Sung
    Park, Hee Jun
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (02):
  • [50] Metallurgical Operation Safety Training System Based on 5G and VR
    Li, Jun
    Sun, Enji
    Lie, Zhongxue
    Wang, Miaosen
    Gao, Dong
    [J]. PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019), 2019, : 2204 - 2208