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 the behavior of IoT devices. 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 influence user behavior. Therefore, We propose a system based on IoB and XAI that aims to influence user behavior and showcase its effectiveness in an electrical power consumption use case. Through our experiments, we are able to demonstrate a reduction in both power consumption and cost. The scenario results showed a decrease of 522.2 kW of active power based on the original historical average consumption over a 200-hours period. It also showed a total power cost saving of C95.04 for the same period. IEEE