Internet of Behavior (IoB) and Explainable AI Systems for Influencing IoT Behavior

• URL: http://arxiv.org/abs/2109.07239v1
• Date: Wed, 15 Sep 2021 12:16:11 GMT
• Title: Internet of Behavior (IoB) and Explainable AI Systems for Influencing IoT Behavior
• Authors: Haya Elayan and Moayad Aloqaily and Mohsen Guizani
• Abstract summary: The Internet of Behavior (IoB) and Explainable AI (XAI) have been proposed in a use case scenario of electrical power consumption. The scenario results showed a decrease of 522.2 kW of active power when compared to original consumption over a 200-hours period.
• Score: 45.776994534648104
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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