Human digital twins and cognitive mimetic

Autor: Pertti Saariluoma, José J. Cañas, Antero Karvonen
Přispěvatelé: Ahram, Tareq, Taiar, Redha, Langlois, Karine, Choplin, Arnaud
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Saariluoma, P, Cañas, J & Karvonen, A 2021, Human digital twins and cognitive mimetic . in T Ahram, R Taiar, K Langlois & A Choplin (eds), Human Interaction, Emerging Technologies and Future Applications III-Proceedings of the 3rd International Conference on Human Interaction and Emerging Technologies : Future Applications, IHIET 2020 . Springer, Advances in Intelligent Systems and Computing, vol. 1253, pp. 97-102, 3rd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET 2020, Paris, France, 27/08/20 . https://doi.org/10.1007/978-3-030-55307-4_15
Human Interaction, Emerging Technologies and Future Applications III ISBN: 9783030553067
IHIET (Paris)
Popis: 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. peerReviewed
Databáze: OpenAIRE