Digital twins focused modelling methodology of human trust

Trček, Denis (author)

Digital twins are gaining importance again, even though they have been around for decades. Originally, digital twins were digital replicas of physical artifacts. With the recent success of technologies such as large language models and generative artificial intelligence, a new possibility has emerged that further enables the modeling of human trust processes and their faithful representation in digital twins. However, when it comes to trust, these technologies are not sufficient, because humans may have problems with articulation when expressing their trust, not to mention that they can intentionally express it in a misleading way. Therefore, these models must be linked to a wealth of trust-specific models in other domains that have already been shown to be important. Consequently, a coherent, trust-centered methodology that incorporates mathematical, anthropocentric, psychological, neuroscientific, and other models is needed to address the issue of trust. This article therefore introduces a new methodological approach, the psychographic trust replication methodology, to further accelerate developments in the field of digital twins and trust. Although the focus is on digital twins, the results are also relevant to the measurement of trust, including the metrological perspective, which has not been addressed so far.

• Language: English
• Keywords: trust, formal methods, quantitative assessments, measurements, bio-signals processing
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FRI - Faculty of Computer and Information Science
• Publication status: Published
• Publication version: Version of Record
• Year: 2026
• Number of pages: 16 str.
• Numbering: Vol. 16, art. 21
• PID: 20.500.12556/RUL-181343
• UDC: 004
• ISSN on article: 2192-1962
• DOI: 10.22967/HCIS.2026.16.021
• COBISS.SI-ID: 273947907
• Publication date in RUL: 02.04.2026

Record is a part of a journal

• Title: Human-centric computing and information sciences
• Publisher: Springer
• ISSN: 2192-1962
• COBISS.SI-ID: 3864264

Licences

• License: CC BY-NC 3.0, Creative Commons Attribution-NonCommercial 3.0 Unported
• Link: http://creativecommons.org/licenses/by-nc/3.0/
• Description: You are free to reproduce and redistribute the material in any medium or format. You are free to remix, transform, and build upon the material. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Secondary language

• Language: Slovenian
• Keywords: zaupanje, formalne metode, kvantitativno vrednotenje, merjenje, procesiranje bio-signalov

Projects

• Funder: ARIS - Slovenian Research and Innovation Agency
• Project number: P2-0359-2018
• Name: Vseprisotno računalništvo