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Digital Twins for Supporting Ageing Well: Approaches in Current Research and Innovation in Europe and Japan

Author

Listed:
  • Jasmin Lehmann

    (Information Systems and New Media, University of Siegen, 57072 Siegen, Germany)

  • Lorenz Granrath

    (Smart Aging Research Centre, Tohoku University, Sendai 980-8577, Japan)

  • Ryan Browne

    (Smart Aging Research Centre, Tohoku University, Sendai 980-8577, Japan)

  • Toshimi Ogawa

    (Smart Aging Research Centre, Tohoku University, Sendai 980-8577, Japan)

  • Keisuke Kokubun

    (Smart Aging Research Centre, Tohoku University, Sendai 980-8577, Japan)

  • Yasuyuki Taki

    (Smart Aging Research Centre, Tohoku University, Sendai 980-8577, Japan)

  • Kristiina Jokinen

    (AIST AI Research Centre, AIST Tokyo Waterfront, 3-4-7-Aomi Koto-ku, Tokyo 135-0064, Japan)

  • Sarah Janboecke

    (Sarah Janböcke ODR GmbH on Behalf of Smart Aging Research Centre, Tohoku University, 45219 Essen, Germany)

  • Christophe Lohr

    (IMT Atlantique, Bretagne—Pays de la Loire, École Mines-Télécom, 44300 Nantes, France)

  • Rainer Wieching

    (Information Systems and New Media, University of Siegen, 57072 Siegen, Germany)

  • Roberta Bevilacqua

    (IRCCS INRCA, 60124 Ancona, Italy)

  • Sara Casaccia

    (Dipartimento di Ingegneria Industriale e Scienze Matematiche, Università Politecnica delle Marche, 60121 Ancona, Italy)

  • Gian Marco Revel

    (Dipartimento di Ingegneria Industriale e Scienze Matematiche, Università Politecnica delle Marche, 60121 Ancona, Italy)

Abstract

One of the central social challenges of the 21st century is society’s aging. AI provides numerous possibilities for meeting this challenge. In this context, the concept of digital twins, based on Cyber-Physical Systems, offers an exciting prospect. The e-VITA project, in which a virtual coaching system for elderly people is being created, allows the same to be assessed as a model for development. This white paper collects and presents relevant findings from research areas around digital twin technologies. Furthermore, we address ethical issues. This paper shows that the concept of digital twins can be usefully applied to older adults. However, it also shows that the required technologies must be further developed and that ethical issues must be discussed in an appropriate framework. Finally, the paper explains how the e-VITA project could pave the way towards developing a Digital Twin for Ageing.

Suggested Citation

  • Jasmin Lehmann & Lorenz Granrath & Ryan Browne & Toshimi Ogawa & Keisuke Kokubun & Yasuyuki Taki & Kristiina Jokinen & Sarah Janboecke & Christophe Lohr & Rainer Wieching & Roberta Bevilacqua & Sara C, 2024. "Digital Twins for Supporting Ageing Well: Approaches in Current Research and Innovation in Europe and Japan," Sustainability, MDPI, vol. 16(7), pages 1-16, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:3064-:d:1371217
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    References listed on IDEAS

    as
    1. Hongwei Tan & Yifan Zhou & Quanzheng Tao & Johanna Rosen & Sebastiaan van Dijken, 2021. "Bioinspired multisensory neural network with crossmodal integration and recognition," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
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