Synthesizing Personalized Construction Safety Training Scenarios for VR Training

Li, Wanwan; Huang, Haikun; Solomon, Tomay; Esmaeili, Behzad; Yu, Lap-Fai

doi:10.1109/tvcg.2022.3150510

Cited by 46 publications

(21 citation statements)

References 44 publications

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“…IVR can provide a high level of presence [2,26,35,47,48], which can allow the conduct of a range of related tasks in a cost-efficient and nonhazardous environment. When it comes to navigation (agency) in IVR, there is some evidence from the findings that freely walkarounds affected learning performance negatively [69] or did not improve spatial orientation skill [41]. A possible explanation for these results may be that the users become F I G U R E 10 Study type, number of participant in each size, data collection method, and data evaluation method.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, the use of PC-connected HMDs in current studies is remarkably high. There are only five papers that used standalone HMDs [1,4,51,69,71]. This may be due to the very recent release of standalone HMDs.…”

Section: Practical Implicationsmentioning

confidence: 99%

“…Although references [1,6,21,26,40,41,43,61,88,92,104,105,107,118,[131][132][133]137] were quasiexperimental type, references [24,42,47,49,52,53,69,103,110,111,127] were true-experimental type. Therefore, it can be stated that these papers have greater scientific rigor than other papers.…”

Section: (Output Factor)mentioning

confidence: 99%

“…From pedagogical perspective, it is crucial for their widespread use to examine the learning performance in IVR applications along with other process factors in rigorous scientific studies. Only 12 papers [1,21,41,42,49,52,69,89,110,111,127,132] out of 79 papers analyzed the DL with other process factors with high scientific rigor, because they applied the quasior true-experimental type. Furthermore, in reference to Figure 10, less than half of the papers applied quasi-experimental or true-experimental procedures.…”

Section: Practical Implicationsmentioning

confidence: 99%

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Immersive virtual reality in AECO/FM to enhance education: Systematic literature review and future directions

Tastan

Tong

2023

Comp Applic In Engineering

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Immersive virtual reality (IVR) is considered as an effective and efficient instructional tool for architecture, engineering, construction, operation, and facility management (AECO/FM) education. However, it is essential to systematically evaluate them to obtain consolidated evidence on the impact of IVR applications. Thus, the aim of this article is to present the state‐of‐the‐art on all AECO/FM use cases, including learning theories/models, all key factors, and experimental design, and to suggest future directions for IVR research. This review follows a systematic literature review methodology to analyze 79 papers between 2013 and 2022. The results show that learning theories/models are not sufficiently applied. There is consensus that IVR influences affective factors positively. It is necessary to consider task type, task complexity, virtual environment design, and ergonomics of IVR tools in terms of cognitive factors. Cognitive/affective factors associated with learning performance should be examined in depth to develop more effective learning methods. Future studies should design and conduct experimental procedures with more scientific rigor.

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Section: Discussionmentioning

confidence: 99%

Section: Practical Implicationsmentioning

confidence: 99%

Section: (Output Factor)mentioning

confidence: 99%

Section: Practical Implicationsmentioning

confidence: 99%

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Immersive virtual reality in AECO/FM to enhance education: Systematic literature review and future directions

Tastan

Tong

2023

Comp Applic In Engineering

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“…Focus of the study THR PFT TMI VRT EVR SBT ASA (Li et al, 2022) X (Lucena and Saffaro, 2022 Several studies explore the potential of existing VR devices and supplementary devices to enhance the learning experience. Eye-tracking technology for estimating the attention of the trainees (Chihming et al, 2020) and trackers for incorporating the gait movements are some examples (Habibnezhad et al, 2019).…”

Section: Research Papermentioning

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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Mixed-Integer Programming for Adaptive VR Workflow Training

Zhang,

Yan,

Huang

et al. 2024

Lecture Notes in Computer Science

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Synthesizing Personalized Construction Safety Training Scenarios for VR Training

Cited by 46 publications

References 44 publications

Immersive virtual reality in AECO/FM to enhance education: Systematic literature review and future directions

Immersive virtual reality in AECO/FM to enhance education: Systematic literature review and future directions

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

Mixed-Integer Programming for Adaptive VR Workflow Training

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