A Conceptual Framework for Construction Safety Training using Dynamic Virtual Reality Games and Digital Twins

Harichandran, Aparna; Johansen, Karsten W.; Jacobsen, Emil L.; Teizer, Jochen

doi:10.22260/isarc2021/0084

Cited by 14 publications

(10 citation statements)

References 21 publications

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“…[94], an AR Headset (Microsoft HoloLens) is used to receive input from ROS through the Rosbridge communication package to enhance the user's experience and perception. VR/AR-based training with DTs is receiving a lot of interest in a wide range of industries, such as construction [118,119], mining [120]. Using immersive virtual simulations, the safety perception of HRC in construction workers is tested and enhanced in [121].…”

Section: User Training and Educationmentioning

confidence: 99%

Human-Centric Digital Twins in Industry: A Comprehensive Review of Enabling Technologies and Implementation Strategies

Asad

Khan

Khalid

et al. 2023

Sensors

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The last decade saw the emergence of highly autonomous, flexible, re-configurable Cyber-Physical Systems. Research in this domain has been enhanced by the use of high-fidelity simulations, including Digital Twins, which are virtual representations connected to real assets. Digital Twins have been used for process supervision, prediction, or interaction with physical assets. Interaction with Digital Twins is enhanced by Virtual Reality and Augmented Reality, and Industry 5.0-focused research is evolving with the involvement of the human aspect in Digital Twins. This paper aims to review recent research on Human-Centric Digital Twins (HCDTs) and their enabling technologies. A systematic literature review is performed using the VOSviewer keyword mapping technique. Current technologies such as motion sensors, biological sensors, computational intelligence, simulation, and visualization tools are studied for the development of HCDTs in promising application areas. Domain-specific frameworks and guidelines are formed for different HCDT applications that highlight the workflow and desired outcomes, such as the training of AI models, the optimization of ergonomics, the security policy, task allocation, etc. A guideline and comparative analysis for the effective development of HCDTs are created based on the criteria of Machine Learning requirements, sensors, interfaces, and Human Digital Twin inputs.

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Section: User Training and Educationmentioning

confidence: 99%

Human-Centric Digital Twins in Industry: A Comprehensive Review of Enabling Technologies and Implementation Strategies

Asad

Khan

Khalid

et al. 2023

Sensors

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“…As VR technology became more accessible, researchers developed various VR-based simulations as an alternative to conventional solutions to tackle this issue. Some researchers developed simulations to educate proper safety guardrail installation (Harichandran et al , 2021). Several hazard identification and management training were also designed to improve the safety knowledge of construction workers (Eiris et al , 2020; Getuli et al , 2021; Jeelani et al , 2020; Jeon and Cai, 2021).…”

Section: Systematic Reviewmentioning

confidence: 99%

Integration of deep learning and extended reality technologies in construction engineering and management: a mixed review method

Lee

Rashidi

Talei

et al. 2022

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Purpose In recent years, deep learning and extended reality (XR) technologies have gained popularity in the built environment, especially in construction engineering and management. A significant amount of research efforts has been thus dedicated to the automation of construction-related activities and visualization of the construction process. The purpose of this study is to investigate potential research opportunities in the integration of deep learning and XR technologies in construction engineering and management. Design/methodology/approach This study presents a literature review of 164 research articles published in Scopus from 2006 to 2021, based on strict data acquisition criteria. A mixed review method, consisting of a scientometric analysis and systematic review, is conducted in this study to identify research gaps and propose future research directions. Findings The proposed research directions can be categorized into four areas, including realism of training simulations; integration of visual and audio-based classification; automated hazard detection in head-mounted displays (HMDs); and context awareness in HMDs. Originality/value This study contributes to the body of knowledge by identifying the necessity of integrating deep learning and XR technologies in facilitating the construction engineering and management process.

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“…As VR technology advances, the training methods are improved with additional devices (Kim et al, 2021). There are prospects of improving training through dynamic scenario creation with the aid of digital twins (Harichandran et al, 2021). However, most VR-based safety training methods estimated the participants' performance either qualitatively or through manual quantitative estimation (Han et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

A Critical Review on Methods for the Assessment of Trainees' Performance in Virtual Reality-based Construction Safety Training

Harichandran¹,

Teizer²

2022

Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering

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Virtual Reality (VR) is one of the transformative technologies that aid construction safety training. This study isa systematic review of literature on estimating the performance of the trainees during VR-based construction safety training. The critical analysis of the selected literature identifiedseven focus areasof research, often overlapping with oneor more areas.The focus areas include hazard recognition training, personalised feedback,training methodimprovement, the effect of VR training, the efficacy of VR training, safety behaviour analysis, and automated safety analysis. Most studies focus on either training with existing scenarios for improving hazard recognition or enhancing the training method with the latest technologies or supplementary devices. The possibilities of automated data collection during VR training need to be further explored for quantitativelyestimatingthe participant performance and analysis of close calls or safety incidents.

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A Conceptual Framework for Construction Safety Training using Dynamic Virtual Reality Games and Digital Twins

Cited by 14 publications

References 21 publications

Human-Centric Digital Twins in Industry: A Comprehensive Review of Enabling Technologies and Implementation Strategies

Human-Centric Digital Twins in Industry: A Comprehensive Review of Enabling Technologies and Implementation Strategies

Integration of deep learning and extended reality technologies in construction engineering and management: a mixed review method

A Critical Review on Methods for the Assessment of Trainees' Performance in Virtual Reality-based Construction Safety Training

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