Empowering digital twins with eXtended reality collaborations

作     者：Lorenzo STACCHIO Alessia ANGELI Gustavo MARFIA 

作者机构：Department for Life Quality StudiesUniversity of BolognaItaly Department of Computer Science and EngineeringUniversity of BolognaItaly Department of the ArtsUniversity of BolognaItaly 

出 版 物：《Virtual Reality & Intelligent Hardware》 (虚拟现实与智能硬件（中英文）)

年 卷 期：2022年第4卷第6期

页      面：487-505页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：Supported by the University of Bologna Alma Attrezzature 2017 grant AEFFE S.p.a the Golinelli Foundation Elettrotecnica Imolese S.U.R.L 

主　　题：Digital twin eXtended reality Human collaborative intelligence 

摘      要：Background The advancements of Artificial Intelligence,Big Data Analytics,and the Internet of Things paved the path to the emergence and use of Digital Twins(DTs)as technologies to“twinthe life of a physical entity in different fields,ranging from industry to *** the same time,the advent of eXtended Reality(XR)in industrial and consumer electronics has provided novel paradigms that may be put to good use to visualize and interact with *** technologies can support human-to-human interactions for training and remote assistance and could transform DTs into collaborative intelligence *** We here present the Human Collaborative Intelligence empowered Digital Twin framework(HCLINT-DT)integrating human annotations(e.g.,textual and vocal)to allow the creation of an all-in-one-place resource to preserve such *** framework could be adopted in many fields,supporting users to learn how to carry out an unknown process or explore others’past *** The assessment of such a framework has involved implementing a DT supporting human annotations,reflected in both the physical world(Augmented Reality)and the virtual one(Virtual Reality).Con-clusions The outcomes of the interface design assessment confirm the interest in developing HCLINT-DT-based ***,we evaluated how the proposed framework could be translated into a manufacturing context.