Title

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

Authors

Haya Elayan, xAnalytics Inc., Ottawa, ON, Canada
Moayad Aloqaily, Mohamed Bin Zayed University of Artificial Intelligence
Fakhri Karray, Mohamed Bin Zayed University of Artificial IntelligenceFollow
Mohsen Guizani, Mohamed Bin Zayed University of Artificial IntelligenceFollow

Document Type

Article

Publication Title

IEEE Network

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 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

First Page

1

Last Page

8

DOI

10.1109/MNET.009.2100500

Publication Date

8-8-2022

Keywords

Behavioral research, Deep learning, Disasters, Electric power utilization, Active power, Artificial intelligence systems, Deep learning, Energy sustainability, Government companies, Government organizations, Internet of behavior, Natural disasters, Track control, XAI, Internet of things, Artificial Intelligence (cs.AI), Computers and Society (cs.CY), Distributed, Parallel, and Cluster Computing (cs.DC), Machine Learning (cs.LG)

Comments

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Recommended Citation

H. Elayan, M. Aloqaily, F. Karray and M. Guizani, "Internet of Behavior (IoB) and Explainable AI Systems for Influencing IoT Behavior," in IEEE Network, doi: 10.1109/MNET.009.2100500.