行为互联网（IoB）和影响IoT行为的可解释AI系统
Internet of Behavior (IoB) and Explainable AI Systems for Influencing IoT Behavior
摘要：
多年来的流行病和自然灾害改变了人们的行为，对生活的各个方面产生了巨大的影响。随着每个时代的技术，政府，组织和公司都使用这些技术来跟踪，控制和影响个人的行为。如今，物联网（IoT）、云计算和人工智能（AI）的使用使得通过改变IoT行为来跟踪和改变用户的行为变得更加容易。本文介绍并讨论了行为互联网（IoB）的概念及其与可解释人工智能（XAI）技术的集成，以在改变物联网行为的过程中提供可信和明显的体验，从而最终改善用户的行为。因此，已经在电力消耗的用例场景中提出了基于IoB和XAI的系统，其旨在影响用户消费行为以降低电力消耗和成本。情景结果显示，与200小时内的原始消耗量相比，有功功率减少了522.2千瓦。它还显示，同期的总电力成本节省了95.04欧元。此外，降低全局有功功率将通过正相关性降低功率强度。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
