Journal Articles

Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915

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Author: search.filters.author.Feng ZSubject: search.filters.subject.Augmented reality

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    Video see-through augmented reality fire safety training: A comparison with virtual reality and video training
    (Elsevier B.V., 2024-12-10) Domgue K LI; Paes D; Feng Z; Mander S; Datoussaid S; Descamps T; Rahouti A; Lovreglio R
    Safety training is crucial to mitigate the risk of damage when a disaster occurs and can play a vital role in enhancing community response. Augmented Reality (AR) is an emerging technology for safety training that holds great pedagogical potential. This study aims to explore the effectiveness of AR training in terms of knowledge acquisition and retention, as well as self-efficacy enhancement. We developed a new video see-through AR training tool on a tablet to teach users about operating a fire extinguisher to put out a fire following the PASS procedure: Pull, Aim, Squeeze, and Sweep (PASS). The AR training tool was tested with 60 participants. Test results were systematically compared with findings from the literature investigating Virtual Reality (VR) and video-based safety training. The findings indicate that, directly after the training, AR outperformed traditional video training in terms of knowledge retention, long-term self-efficacy, and quality of instructions. However, the AR experience was not as effective as the VR experience in all these areas, but the AR group had a smaller decrease in knowledge over time. These findings suggest that the AR-based training approach offers benefits in long-term memory recall.
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    Augmented reality applications in construction productivity: A systematic literature review
    (Elsevier Ltd, 2024-10) Xu Z; Feng Z; Babaeian Jelodar M; Guo BHW
    Augmented reality (AR) has been extensively researched for its applications in the construction industry. However, there is limited focus on its effects on productivity. This paper aims to bridge the gap by using a systematic literature review to investigate AR applications in the planning, design, and construction phases, focusing on their mechanisms for enhancing productivity. The paper classifies AR applications by their target construction tasks, features, and factors contributing to improved productivity. Additionally, it proposes a framework for prototyping AR applications and evaluating their effects on productivity. Key findings reveal several contributions: the need for further investigation of AR for positioning and hazard notification tasks; the utilisation of different augmentation methods, display tools, and tracking methods based on specific construction tasks; AR's positive impact on productivity in design review, discrepancy check, assembly, and hazard notification, while future research on evaluating productivity in progress management, planning simulation, and positioning.