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HERO ID
7136073
Reference Type
Journal Article
Title
Factors affecting trust in high-vulnerability human-robot interaction contexts: A structural equation modelling approach
Author(s)
Kim, W; Kim, N; Lyons, JB; Nam, CS; ,
Year
2020
Is Peer Reviewed?
Yes
Journal
Applied Ergonomics
ISSN:
0003-6870
Publisher
ELSEVIER SCI LTD
Location
OXFORD
Language
English
PMID
32174344
DOI
10.1016/j.apergo.2020.103056
Web of Science Id
WOS:000526996900011
Abstract
The current research proposed and tested a structural equation model (SEM) that describes hypothesized relationships among factors affecting trust in human-robot interaction (HRI) such as trustworthiness, human-likeness, intelligence, perfect automation schema (PAS), and affect. A video stimulus depicting an autonomous guard robot interacting with humans was employed as a stimulus via Amazon's Mechanical Turk to recruit 233 participants. Human-related and robot-related metrics were found to affect trustworthiness that subsequently affected trust. In particular, ability (as a trustworthiness facet) was a dominant factor affecting trust in HRI. Integrity was found to mediate the relationships between robot- and human-related metrics and trustworthiness. This study also showed a correlation between intelligence and trustworthiness, as well as between PAS and trustworthiness. The findings of the present study have significant implications for both theory and practice on factors and levels that affect trust in HRI.
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