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Hussien, A, Tucker, MP, Cotgrave, A, Al-Khafajiy, M and Shamsa, TB (2019) Optimizing Project Delivery through Augmented Reality and Agile Methodologies. In: Developments in eSystems Engineering 2019 IEEE Explore . (Developments in eSystems Engineering 2019, 7-10th October 2019, Kazan, Russia).
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Abstract
The construction sector, which has a long history to use visualisation to envisage proposed designs and project delivery, is beginning to see the benefits of augmented reality and agile project management methodologies. This study investigated the benefits of augmented reality and agile project management methodologies. Convergent design method was considered valuable and the most straightforward for this study, as different types of quantitative and qualitative data were required to be collected and analysed. The participants drawn from the construction sector revealed a number of augmented and agile determinants that facilitated the delivery of construction and integration of project teams. The participants suggested that the proposed ARGILE framework increases client understanding of the tasks output, increases client involvement and collaboration with the project team. It was further established that the proposed ARGILE framework enhances project time management, embeds the client and empowers multidisciplinary team, increases collaboration and communication.
| Item Type: | Conference or Workshop Item (Paper) |
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| Additional Information: | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Subjects: | H Social Sciences > HF Commerce > HF5001 Business Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Business & Management (from Sep 19) Civil Engineering & Built Environment Computer Science & Mathematics |
| Publisher: | IEEE |
| Date Deposited: | 10 Jan 2020 12:29 |
| Last Modified: | 15 May 2024 09:09 |
| DOI or ID number: | 10.1109/DeSE.2019.00187 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/11764 |
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