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Green Intelligent Homes: A Perspective on the Future of Smart Homes and Their Implications
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0003-0546-072X
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-8512-2976
2023 (English)In: Proceedings of the 8th International Conference on Internet of Things, Big Data and Security (IoTBDS 2023). / [ed] Gary, Wills; Buttyán, Levante; Kacuk, Péter; Chang, Victor, Portugal, 2023, p. 186-193Conference paper, Published paper (Refereed)
Abstract [en]

The smart home technology market is witnessing rapid growth due to the advent of more advanced, intuitive, and affordable solutions. As the adoption of these technologies becomes more prevalent, there is a need for research to explore potential avenues for pervasive smart living. This study aims to review the available literature and industry studies, along with our own experiences in the field, to identify and discuss potential future research in the smart home. We observe that the future of the smart home will likely be focused on improving the user experience, with a greater emphasis on personalization, automation, and Artificial intelligence (AI)-driven technologies, leading to what we call the "Green Intelligent Home". Through this analysis, this study aims to offer insights into how the development of smart homes could shape society in the future and the potential implications of such a development. This study concludes by suggesting a framework for knowledge development in the smart home domain.

Place, publisher, year, edition, pages
Portugal, 2023. p. 186-193
Series
IoTBDS, ISSN 2184-4976
Keywords [en]
Smart Home, Home Automation, Internet of Things, Artificial Intelligence, Security, Privacy, Sustainability
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mau:diva-67028DOI: 10.5220/0011964800003482ISI: 001078900300018Scopus ID: 2-s2.0-85160704898ISBN: 978-989-758-643-9 (electronic)OAI: oai:DiVA.org:mau-67028DiVA, id: diva2:1855486
Conference
8th International Conference on Internet of Things, Big Data and Security (IoTBDS 2023)
Available from: 2024-05-01 Created: 2024-05-01 Last updated: 2024-05-02Bibliographically approved

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Bugeja, JosephJacobsson, Andreas

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