Trusting robots: a relational trust definition based on human intentionality

Arndt Schäfer (), Reinhold Esterbauer and Bettina Kubicek
Additional contact information
Arndt Schäfer: University of Graz
Reinhold Esterbauer: University of Graz
Bettina Kubicek: University of Graz

Palgrave Communications, 2024, vol. 11, issue 1, 1-12

Abstract: Abstract As robots are increasingly found in various aspects of human life, understanding how humans relate to and interact with robots is becoming more relevant. One important factor affecting the quality of human-robot interactions is trust, and in recent years there has been an increase in scientific interest in the nature of trust between humans and robots. However, it can be observed that a clear distinction between trust and its related constructs is not always made when examining trust in robots. To overcome these limitations, we propose a definition of trust in robots that clearly separates trust from its related constructs. To this end, we extend an established trust model for interpersonal trust, which we adapt to describe trust in HRI. The new definition describes trust as a particular way in which human trustor relates to a robot. By characterizing trust as an asymmetric relation with certain properties, the proposed definition adopts a perspective that focuses on the human trustor in describing trust. Furthermore, we argue that the proposed definition of trust is suitable for describing trust in all types of robots and for any form of human-robot interaction.

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1057/s41599-024-03897-3 Abstract (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03897-3

Ordering information: This journal article can be ordered from
https://www.nature.com/palcomms/about

DOI: 10.1057/s41599-024-03897-3

Access Statistics for this article

More articles in Palgrave Communications from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().