Trustworthiness Model Representation
Figure 8: Computation of System Trust Score in a Smart, Connected Factory
safety and security reasons. Some important
observations that retail store management is
interested in are:
● How many customers entered a
store at a certain time of day?
● How many customers interacted
with an item on display (electronics,
shoes, etc.)?
● How much time did they spend on
average in a specific aisle or display?
● How many people visited a certain
aisle in the store?
As a result of these observed overall and
component Trust Scores, the factory
management team was able to modify the
design of their network environment to
adequately handle the connectivity
requirements for transmission of video and
sensor data streams. The updated network
design increased the network connectivity
component score, which in turn brought the
reliability attribute score and the overall
system Trust Score back to the desired state
of 100%.
The data is analyzed to generate a result that
is useful to achieve certain business goals:
● Are there enough sales or customer
service employees to handle the
inflow of customers?
● What is the level of customer
service?
● Is a display attractive or informative
enough to engage customers?
● Is the time spent browsing a product
or in a specific aisle indicative of
interest and eventual purchase?
Use Case 2: Trustworthiness in a Retail
Store
S MART S TORE A NALYTICS
A Systems Integrator installs a surveillance
system inside a retail store to provide a data
collection service. Temperature and
movement sensors, people counters and
cameras collect data to calculate occupancy
and foot traffic. The system is also used for
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