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An Approach Toward Training Better Construction Industry Installers by Using Augmented Reality

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Extended Reality (XR Salento 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15029))

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Abstract

The construction industry, much like other labor-intensive fields, faces a challenge with its continually diminishing pool of experienced workers. Currently, there is a steady decline in skilled workforce availability, creating a shortage just when their expertise is most needed. Typically, mastering the necessary skills in this industry requires years of experience, which is not feasible given the immediate and crucial demand for workers. Additionally, the industry grapples with a reputation for subpar quality. To address these issues, this research proposed a new approach to training a novice worker, by focusing on enhancing their ability to properly locate and place construction materials. The study utilized augmented reality technology to guide students in placing plumbing pipes accurately within a simulated construction environment. Students found the experience highly educational. It provided them with a sense of practical work experience crucial for their learning process. This study introduces a valuable tool for student education and suggests potential for exploring more advanced technologies to improve accuracy – with the secondary intent of providing a tool for practitioners to use while conducting construction industry inspections. It underscores the importance of innovative approaches in preparing the next generation of construction workers.

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Correspondence to Jeffrey Kim .

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Kim, J., Olsen, D. (2024). An Approach Toward Training Better Construction Industry Installers by Using Augmented Reality. In: De Paolis, L.T., Arpaia, P., Sacco, M. (eds) Extended Reality. XR Salento 2024. Lecture Notes in Computer Science, vol 15029. Springer, Cham. https://doi.org/10.1007/978-3-031-71710-9_10

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  • DOI: https://doi.org/10.1007/978-3-031-71710-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-71709-3

  • Online ISBN: 978-3-031-71710-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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