Emerging Technologies in Digital Twin: Reflections on Self-Leadership and Addiction Recovery

Ville Pietiläinen, Ville-Veli Saari, Rauno Rusko

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Abstract

The chapter combines emerging research on the digital twin, particularly on the natural language processing (NLP) technologies of AI and self-leadership. It applies the theories to one of the fastest-growing challenges of late postmodern humans: addiction. The chapter addresses the question of how language-based digital twins (LBDT) affect the self-leadership process of addiction redundancy. After reviewing the contemporary research literature, the chapter presents a case in which LBDT engages in understanding an appropriate approach to the self-leadership phenomenon and strategy. The case suggests that the addictive worldview and behavior is something more general for a late post-human society than a distinct health care problem. Self-leadership as a concept shifts the study of addiction toward strategic action. However, self-leadership research has yet to adopt an LBDT perspective in general and on phenomena such as addiction. Furthermore, the self-leadership methodology addresses a person's view on the level of strategies but does not combine them against various self-leadership challenges. The case highlights how LBDT can be associated with a user-designed, multiple-level, self-leadership approach in the context of addictive worldviews and behaviors. The limitations related to LBDT transparency, extension, and epistemology are considered.
Original languageEnglish
Title of host publicationDigital Twin Technology for Better Health: A Healthcare Odyssey
EditorsManish Dixit, Kirti Raj Bhatele, Devanshu Tiwari
Place of PublicationTaylor & Francis Group
PublisherCRC press
Chapter8
Number of pages35
Publication statusAccepted/In press - 30 Jul 2024
MoEC publication typeA3 Part of a book or another research book

Field of science

  • Business and management
  • Psychology
  • Administrative science

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