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Title	Local Digital Twin Ecosystems: A Human-Centric Approach
ID_Doc	35446
Authors	Missikoff O.
Year	2024
Published	Lecture Notes in Information Systems and Organisation, 72
DOI	http://dx.doi.org/10.1007/978-3-031-75586-6_8
Abstract	This work explores the growing importance of the human component in Digital Twin design and implementation, challenging the validity of the legacy, purely cyber-physical paradigm. In fact, recent advancements in key enabling technologies have expanded Digital Twin applications to encompass complex socio-technical ecosystems, such as smart cities, highlighting the ever-increasing relevance of humans in these contexts. Consequently, the traditional mechanistic bipolarity of the physical twin/Digital Twin paradigm, derived from industrial engineering, is proving inadequate to model highly anthropogenic landscapes. Therefore, it is necessary to align the Digital Twin model with the prevailing trend of a human-centric digital transformation. In this paper, we propose an extension of the Digital Twin legacy paradigm from a pair-based to a triple-based model that formally includes the human component. This proposal is supported by epistemological justifications, international case studies, enabling methodologies, ongoing pilot projects, and future research directions. The model presented in this paper fosters a human-centric approach to improve decision-making processes and enhance user engagement in Local Digital Twin Ecosystems. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Author Keywords	Human-centric digital transformation; Local Digital Twin Ecosystems; Socio-technical systems; Stakeholder engagement; Systems thinking

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