University of Oulu

Bomström, H., Annanperä, E., Kelanti, M., Xu, Y., Mäkelä, S.-M., Immonen, M., Siirtola, P., Teern, A., Liukkunen, K., & Päivärinta, T. (2022). Digital twins about humans—Design objectives from three projects. Journal of Computing and Information Science in Engineering, 22(5), 050907. https://doi.org/10.1115/1.4054270

Digital twins about humans : design objectives from three projects

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Author: Bomström, Henri1; Annanperä, Elina1; Kelanti, Markus1;
Organizations: 1M3S Research Unit, University of Oulu, Pentti Kaiteran Katu 1, 90014 Oulu, Finland
2VTT Technical Research Centre of Finland Ltd, Kaitoväylä 1, 90571 Oulu, Finland
3BISG Research Group, University of Oulu, Pentti Kaiteran Katu 1, 90014 Oulu, Finland
4Luleå University of Technology, Digital Services and Systems, Porsön, 971 87, Luleå, Sweden
Format: article
Version: accepted version
Access: embargoed
Persistent link: http://urn.fi/urn:nbn:fi-fe2022122072766
Language: English
Published: American Society of Mechanical Engineers, 2022
Publish Date: 2023-04-29
Description:

Abstract

Digital twin (DT) emerges as a key concept of the Industry 4.0 paradigm and beyond. However, the current literature lacks focus on humans and human activities as a part of complex system DTs. Acknowledging human aspects in DTs can enhance work performance, well-being, motivation, and personal development of professionals. This study examines emerging requirements for human digital twins (HDTs) in three use cases of industry–academia collaboration on complex systems. The results draw together the overall design problem and four design objectives for HDTs. We propose to combine the machine and human-related aspects of DTs and highlight the need for virtual-to-virtual interoperability between HDTs and machines alike. Furthermore, we outline differences between humans and machines regarding digital twinning by addressing human activities and knowledge-based behavior on systems. Design of HDTs requires understanding of individual professional characteristics, such as skills and information preferences, together with twinning between the physical and digital machine entities and interactions between the human and machine DTs. As the field moves toward including humans as a part of the DT concept, incorporating HDTs in complex systems emerges as an increasingly significant issue.

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Series: Journal of computing and information science in engineering
ISSN: 1530-9827
ISSN-E: 1944-7078
ISSN-L: 1530-9827
Volume: 22
Issue: 5
Article number: 050907
DOI: 10.1115/1.4054270
OADOI: https://oadoi.org/10.1115/1.4054270
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: The work was partially supported by the ITEA3 projects Oxilate and VISDOM. This research is also supported by the Business Finland funding for Reboot IoT Factory-project.
Copyright information: © 2022 by ASME, reuse license CC-BY 4.0
  https://creativecommons.org/licenses/by/4.0/