Trust and Trustworthiness from Human-Centered Perspective in HRI -- A Systematic Literature Review
Journal:
arXiv
Published Date:
Jan 31, 2025
Abstract
The Industry 5.0 transition highlights EU efforts to design intelligent
devices that can work alongside humans to enhance human capabilities, and such
vision aligns with user preferences and needs to feel safe while collaborating
with such systems take priority. This demands a human-centric research vision
and requires a societal and educational shift in how we perceive technological
advancements. To better understand this perspective, we conducted a systematic
literature review focusing on understanding how trust and trustworthiness can
be key aspects of supporting this move towards Industry 5.0. This review aims
to overview the most common methodologies and measurements and collect insights
about barriers and facilitators for fostering trustworthy HRI. After a rigorous
quality assessment following the Systematic Reviews and Meta-Analyses
guidelines, using rigorous inclusion criteria and screening by at least two
reviewers, 34 articles were included in the review. The findings underscores
the significance of trust and safety as foundational elements for promoting
secure and trustworthy human-machine cooperation. Confirm that almost 30% of
the revised articles do not present a definition of trust, which can be
problematic as this lack of conceptual clarity can undermine research efforts
in addressing this problem from a central perspective. It highlights that the
choice of domain and area of application should influence the choice of methods
and approaches to fostering trust in HRI, as those choices can significantly
affect user preferences and their perceptions and assessment of robot
capabilities. Additionally, this lack of conceptual clarity can be a potential
barrier to fostering trust in HRI and explains the sometimes contradictory
findings or choice of methods and instruments used to investigate trust in
robots and other autonomous systems in the literature.
