Informatics· 2026Q1
Exploring the Dynamics of User Uptake of Augmented Reality in Engineering and Construction Projects
- 1citations
- Q1SCImago
- 2026year
Short summary
A grounded theory approach identified key factors driving user acceptance of augmented reality (AR) in engineering and construction projects, based on data from 248 open codes, 49 axial codes, and 18 selective codes.
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Key points
- Employs grounded theory methodology to explore user acceptance of AR in engineering and construction.
- Data collected via open-ended survey questionnaires and interviews.
- Analysis resulted in 248 open codes, 49 axial codes, and 18 selective codes.
- A causal loop diagram was developed to illustrate the relationships driving AR adoption.
AI-generated from the title and abstract; the full text is not read.
Abstract
With advances in digital technology, augmented reality (AR) can play a substantial role in project development and sustainable growth in engineering and construction. Utilising AR technology with digital overlays offers a three-dimensional (3D) setting that combines real and virtual environments in real time. This immersive capability enables an improved spatial understanding and real-time data benefits for construction and engineering projects. Researchers have conducted extensive research on user acceptance of technology. There is, however, a lack of qualitative research that provides a more comprehensive view of the factors driving user acceptance of AR technology in engineering and construction projects. This research provides insight into the dynamics of user acceptance in engineering and construction projects through grounded theory in a real-world context. This research collected data through open-ended survey questionnaires and interviews. The obtained data were analysed using an iterative approach based on grounded theory principles in this study. A total of 248 open codes, 49 axial codes and 18 selective codes were generated. This process provided a causal loop diagram identifying the relationships of the user acceptance of AR technology adoption in engineering and construction.
The authors' abstract, as published at the source. Informatics, 2026 · DOI ↗
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Field: Information Systems and Management
Information Systems and ManagementDecision Sciences