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Human Digital Twins and Cognitive Mimetic

  • Pertti SaariluomaEmail author
  • Jose Cañas
  • Antero Karvonen
Conference paper
  • 275 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1253)

Abstract

Digital twins – digital models of technical systems and processes – have recently been introduced to work with complex industrial processes. Yet should such models concern only physical objects (as definitions of them often imply), or should users and other human beings also be included? Models that include people have been called human digital twins (HDTs); they facilitate more accurate analyses of technologies in practical use. The cognitive mimetic approach can be used to describe human interactions with technologies. This approach analyses human information processes such as perceiving and thinking to mimic how people process information in order to design intelligent technologies. The results of such analyses can be presented as an ontology of human action, and in this way included in HDT models.

Keywords

Digital twins Human-systems integration Cognitive mimetic AI 

Notes

Acknowledgement

This paper has been supported by BF SEED-project.

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

Authors and Affiliations

  • Pertti Saariluoma
    • 1
    Email author
  • Jose Cañas
    • 2
  • Antero Karvonen
    • 1
  1. 1.University of JyväskyläJyväskyläFinland
  2. 2.University of GranadaGranadaSpain

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