Digital twin construction with a focus on human twin interfaces
File(s)
Published version
Author(s)
Soman, Ranjith K
Farghaly, Karim
Mills, Grant
Whyte, Jennifer
Type
Journal Article
Abstract
Despite the growing emphasis on digital twins in construction, there is limited understanding of how to enable effective human interaction with these systems, limiting their potential to augment decision-making. This paper investigates the research question: “How can construction control rooms be utilized as digital twin interfaces to enhance the accuracy and efficiency of decision-making in the digital twin construction workflow?”. Design science research was used to develop a framework for human-digital twin interfaces, and it was evaluated in a real-world construction project. Findings reveal that control rooms can serve as dynamic interfaces within the digital twin ecosystem, improving coordination efficiency and decision-making accuracy. This finding is significant for practitioners and researchers, as it highlights the role of digital twin interfaces in augmenting decision-making. The paper opens avenues for future studies of human-digital twin interaction and machine learning in construction, such as imitation learning, codifying tacit knowledge, and new HCI paradigms.
Date Issued
2025-02-01
Date Acceptance
2024-12-06
Citation
Automation in Construction, 2025, 170
ISSN
0926-5805
Publisher
Elsevier BV
Journal / Book Title
Automation in Construction
Volume
170
Copyright Statement
© 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Identifier
10.1016/j.autcon.2024.105924
Publication Status
Published
Article Number
105924
Date Publish Online
2025-01-08