智能家居自动化系统中的适应性：决策和交互的系统回顾

IF 6 3区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Internet of Things Pub Date : 2025-03-30 DOI:10.1016/j.iot.2025.101588

Jordan Rey-Jouanchicot , Eric Campo , Jean-Léon Bouraoui , André Bottaro , Nadine Vigouroux , Frédéric Vella

{"title":"智能家居自动化系统中的适应性：决策和交互的系统回顾","authors":"Jordan Rey-Jouanchicot , Eric Campo , Jean-Léon Bouraoui , André Bottaro , Nadine Vigouroux , Frédéric Vella","doi":"10.1016/j.iot.2025.101588","DOIUrl":null,"url":null,"abstract":"<div><div>Smart home automation systems have gained in popularity recently due to the advent of the Internet of Things. These systems offer homeowners convenience, comfort, and energy efficiency using various devices such as thermostats and voice assistants. A key factor in the success of these systems in the future will be their ability to make effective decisions and seamlessly interact with users and their surroundings. However, as technology continues to advance, it is essential to investigate how these systems can adapt, especially in terms of decision-making and interaction. This work presents a systematic review of the literature on adaptivity in smart home automation systems, focusing on general-purpose and comfort use cases.</div><div>The review explores and discusses various proposals and approaches to adaptation, with a specific emphasis on the use of artificial intelligence. The aim is to provide an overview of existing approaches and highlight recent research contributions. It also discusses limitations, challenges, and emerging trends in decision-making systems for smart homes. Finally, it suggests future research directions to improve their adaptivity.</div></div>","PeriodicalId":29968,"journal":{"name":"Internet of Things","volume":"31 ","pages":"Article 101588"},"PeriodicalIF":6.0000,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptation in Smart Home Automation Systems: A systematic review of decision-making and interaction\",\"authors\":\"Jordan Rey-Jouanchicot , Eric Campo , Jean-Léon Bouraoui , André Bottaro , Nadine Vigouroux , Frédéric Vella\",\"doi\":\"10.1016/j.iot.2025.101588\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Smart home automation systems have gained in popularity recently due to the advent of the Internet of Things. These systems offer homeowners convenience, comfort, and energy efficiency using various devices such as thermostats and voice assistants. A key factor in the success of these systems in the future will be their ability to make effective decisions and seamlessly interact with users and their surroundings. However, as technology continues to advance, it is essential to investigate how these systems can adapt, especially in terms of decision-making and interaction. This work presents a systematic review of the literature on adaptivity in smart home automation systems, focusing on general-purpose and comfort use cases.</div><div>The review explores and discusses various proposals and approaches to adaptation, with a specific emphasis on the use of artificial intelligence. The aim is to provide an overview of existing approaches and highlight recent research contributions. It also discusses limitations, challenges, and emerging trends in decision-making systems for smart homes. Finally, it suggests future research directions to improve their adaptivity.</div></div>\",\"PeriodicalId\":29968,\"journal\":{\"name\":\"Internet of Things\",\"volume\":\"31 \",\"pages\":\"Article 101588\"},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2025-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Internet of Things\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2542660525001015\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internet of Things","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2542660525001015","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}

引用次数: 0

摘要

由于物联网的出现，智能家居自动化系统最近越来越受欢迎。这些系统使用各种设备，如恒温器和语音助手，为房主提供方便、舒适和节能。未来这些系统成功的一个关键因素将是它们能够做出有效的决策，并与用户及其周围环境无缝交互。然而，随着技术的不断进步，研究这些系统如何适应是至关重要的，特别是在决策和互动方面。本工作对智能家居自动化系统中的适应性文献进行了系统回顾，重点关注通用和舒适用例。这篇综述探讨了适应气候变化的各种建议和方法，特别强调了人工智能的使用。其目的是提供现有方法的概述，并突出最近的研究贡献。它还讨论了智能家居决策系统的局限性、挑战和新兴趋势。最后，提出了今后提高其适应性的研究方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Adaptation in Smart Home Automation Systems: A systematic review of decision-making and interaction

Smart home automation systems have gained in popularity recently due to the advent of the Internet of Things. These systems offer homeowners convenience, comfort, and energy efficiency using various devices such as thermostats and voice assistants. A key factor in the success of these systems in the future will be their ability to make effective decisions and seamlessly interact with users and their surroundings. However, as technology continues to advance, it is essential to investigate how these systems can adapt, especially in terms of decision-making and interaction. This work presents a systematic review of the literature on adaptivity in smart home automation systems, focusing on general-purpose and comfort use cases.

The review explores and discusses various proposals and approaches to adaptation, with a specific emphasis on the use of artificial intelligence. The aim is to provide an overview of existing approaches and highlight recent research contributions. It also discusses limitations, challenges, and emerging trends in decision-making systems for smart homes. Finally, it suggests future research directions to improve their adaptivity.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Internet of Things Multiple-

CiteScore

3.60

自引率

5.10%

发文量

115

审稿时长

37 days

期刊介绍： Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT. The journal will place a high priority on timely publication, and provide a home for high quality. Furthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT.