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Digital twin construction with a focus on human twin interfaces
Automation in Construction ( IF 9.6 ) Pub Date : 2025-01-08 , DOI: 10.1016/j.autcon.2024.105924
Ranjith K. Soman, Karim Farghaly, Grant Mills, Jennifer Whyte

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.

中文翻译:


数字孪生构建,重点关注人类孪生界面



尽管数字孪生在建筑中越来越受到重视,但人们对如何实现与这些系统的有效人类交互的理解有限,这限制了它们增强决策的潜力。本文调查了研究问题:“如何利用施工控制室作为数字孪生界面,以提高数字孪生施工工作流程中决策的准确性和效率?设计科学研究用于开发人机-数字孪生界面框架,并在实际建设项目中进行了评估。研究结果表明,控制室可以用作数字孪生生态系统中的动态接口,从而提高协调效率和决策准确性。这一发现对从业者和研究人员来说意义重大,因为它突出了数字孪生界面在增强决策方面的作用。该论文为未来人类数字孪生交互和建筑中的机器学习研究开辟了途径,例如模仿学习、编纂隐性知识和新的 HCI 范式。
更新日期:2025-01-08
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