Trustworthiness Model Representation
also an emotional evaluation – and
understanding this is essential for modeling
the trustworthiness of a system. An effective
model must therefore address the emotion
as well as the logic, through transparency,
visual reinforcement of results and
consistency over time -- all supporting the
visceral response of the user in addition to
the inherent logic of the model itself.
trustworthiness, and a flexible scheme is
required to adapt to the relevant context.
Without that, one can end up with an overly
complex and noisy model that does not
intuitively reflect the key aspects of trust as
they matter to the observer of the system.
A user will be able to maintain or enhance
their trust in a system, when she has
confidence in the following, among others:
● the system performs as designed,
and continues to do so throughout
the lifecycle of the system (through
continuous verification/visibility)
● the
system
has
historically
performed as expected, and
disruptions were minimal (through
historic
evidence
and
documentation)
● the system and the data it is
producing are authentic and has not
been tampered with (through
continuous trust certification)
● the system/vendor has a good
reputation
Another interesting property of trust is that
it is contextual – out of a complex set of
variables, people have the ability to
compartmentalize and invest their trust in
what matters most.
In the context of a cyber-physical IIoT
system 2 , the IIC defines trustworthiness as
“the degree of confidence one has that the
system performs as expected with
characteristics including safety, security,
privacy, reliability and resilience in the face
of environmental disturbances, human
errors, s