Publikationer från Malmö universitet
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Green Intelligent Homes: A Perspective on the Future of Smart Homes and Their Implications
Malmö universitet, Internet of Things and People (IOTAP). Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).ORCID-id: 0000-0003-0546-072X
Malmö universitet, Internet of Things and People (IOTAP). Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).ORCID-id: 0000-0002-8512-2976
2023 (engelsk)Inngår i: 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, s. 186-193Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Portugal, 2023. s. 186-193
Serie
IoTBDS, ISSN 2184-4976
Emneord [en]
Smart Home, Home Automation, Internet of Things, Artificial Intelligence, Security, Privacy, Sustainability
HSV kategori
Identifikatorer
URN: urn:nbn:se:mau:diva-67028DOI: 10.5220/0011964800003482ISI: 001078900300018Scopus ID: 2-s2.0-85160704898ISBN: 978-989-758-643-9 (digital)OAI: oai:DiVA.org:mau-67028DiVA, id: diva2:1855486
Konferanse
8th International Conference on Internet of Things, Big Data and Security (IoTBDS 2023)
Tilgjengelig fra: 2024-05-01 Laget: 2024-05-01 Sist oppdatert: 2024-05-02bibliografisk kontrollert

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