  Pandemics and natural disasters over the years have changed the behavior of
people, which has had a tremendous impact on all life aspects. With the
technologies available in each era, governments, organizations, and companies
have used these technologies to track, control, and influence the behavior of
individuals for a benefit. Nowadays, the use of the Internet of Things (IoT),
cloud computing, and artificial intelligence (AI) have made it easier to track
and change the behavior of users through changing IoT behavior. This article
introduces and discusses the concept of the Internet of Behavior (IoB) and its
integration with Explainable AI (XAI) techniques to provide trusted and evident
experience in the process of changing IoT behavior to ultimately improving
users' behavior. Therefore, a system based on IoB and XAI has been proposed in
a use case scenario of electrical power consumption that aims to influence user
consuming behavior to reduce power consumption and cost. The scenario results
showed a decrease of 522.2 kW of active power when compared to original
consumption over a 200-hours period. It also showed a total power cost saving
of 95.04 Euro for the same period. Moreover, decreasing the global active power
will reduce the power intensity through the positive correlation.
