Are Digital Twins Becoming Our Personal (Predictive) Advisors? ‘Our Digital Mirror of Who We Were, Who We Are and Who We Will Become’

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3 Citations (Scopus)


In this paper we look at the notion of a Digital Twin and what it could entail for an aging population. A Digital Twin refers to a digital replica of potential and actual physical assets (physical twin), processes, people, places, systems and devices that can be used for various purposes. Today’s evolution of smart devices, mobile application used in different domains, could be ways of nurturing a Digital Twin. Moreover, these smart device and mobile applications are often equipped with NUI’s (Natural User Interfaces), which make them more affordable for an aging population in terms of usability. In this paper we focus on the affordance and appropriation of these assistive digital technologies. We first do a literature review on related work on ‘Aging in Place’ in combination with ‘Digital Twin’ theory. Furthermore, we conducted in-depth qualitative interviews with boomers (1946–1964) 60+ and 70+, mixed gender and mixed education, but predominately higher educated boomers living in Belgium. In addition we conducted in-depth interviews with stakeholders active in a medical environment.

Original languageEnglish
Title of host publicationHuman Aspects of IT for the Aged Population. Healthy and Active Aging
Subtitle of host publication6th International Conference, ITAP 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part II
EditorsQin Gao, Jia Zhou
Number of pages19
ISBN (Electronic)978-3-030-50249-2
ISBN (Print)978-3-030-50248-5
Publication statusPublished - 10 Jul 2020
Event22st International Conference on Human-Computer Interaction '20: HCI International 2020 - Denmark, Copenhagen
Duration: 19 Jul 202024 Jul 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12208 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference22st International Conference on Human-Computer Interaction '20


  • Aging population
  • Data selves
  • Digital Twins
  • Personal informatics
  • Quantified Self


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