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After its introduction around 20 years ago, the Digital Twin (DT) approach has recently attracted much interest in shaping the next generation of manufacturing. In the last years, many definitions and descriptions of the DT have been published, examining different aspects of its implementation. This paper is the first to present an analysis on the integration and interaction of human and DT in smart manufacturing systems in form of a scoping review following the PRISMA-ScR methodology. It presents the current state of the art of DT-based human-machine interaction (HMI), its implications, and future research directions. Filtering from 278 publications over the last decade, the analysis includes 23 publications, all published from 2016 to 2020. The results show the predominant scenarios and applications of DT-based HMI and identify the current division of labor between human and DT. The paper concludes with an integration of these findings into a human-centered classification of DTs as well as future research directions.
Wilhelm et al. (Mon,) studied this question.