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Title: Investigating the Impact of Augmented Reality and BIM on Retrofitting Training for Non-Experts
Augmented Reality (AR) tools have shown significant potential in providing on-site visualization of Building Information Modeling (BIM) data and models for supporting construction evaluation, inspection, and guidance. Retrofitting existing buildings, however, remains a challenging task requiring more innovative solutions to successfully integrate AR and BIM. This study aims to investigate the impact of AR+BIM technology on the retrofitting training process and assess the potential for future on-site usage. We conducted a study with 64 non expert participants, who were asked to perform a common retrofitting procedure of an electrical outlet installation using either an AR+BIM system or a standard printed blueprint documentation set. Our findings indicate that AR+BIM reduced task time significantly and improved performance consistency across participants, while also decreasing the physical and cognitive demands of the training. This study provides a foundation for augmenting future retrofitting construction research that can extend the use of AR+BIM technology, thus facilitating more efficient retrofitting of existing buildings. A video presentation of this article and all supplemental materials are available at https://github.com/DesignLabUCF/SENSEable_RetrofittingTraining.  more » « less
Award ID(s):
1917728
PAR ID:
10493394
Author(s) / Creator(s):
; ; ; ; ;
Publisher / Repository:
IEEE
Date Published:
Journal Name:
IEEE Transactions on Visualization and Computer Graphics
Volume:
29
Issue:
11
ISSN:
1077-2626
Page Range / eLocation ID:
4655 to 4665
Subject(s) / Keyword(s):
Augmented reality, AR, building information modeling, BIM, retrofitting, training
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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