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Artificial Intelligence-Based Assistance Systems for Environmental Sustainability in Smart Homes: A Systematic Literature Review on Requirements and Future Directions

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dc.contributor.authorBrîncoveanu, Constantin
dc.contributor.authorCarl, K. Valerie
dc.contributor.authorBinz, Simon
dc.contributor.authorWeiher, Moritz-Andre
dc.contributor.authorThomas, Oliver
dc.contributor.authorHinz, Oliver
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorGergeleit, Martin
dc.contributor.editorMartin, Ludger
dc.date.accessioned2024-10-21T18:24:12Z
dc.date.available2024-10-21T18:24:12Z
dc.date.issued2024
dc.description.abstractArtificial Intelligence (AI) is increasingly being utilized to promote sustainable behavior, particularly in the context of smart homes. Such solutions can significantly enhance resource consumption sustainability by leveraging data analysis for ecological benefits. This systematic literature review examines the requirements for data-driven AI applications aimed at improving environmental sustainability in smart homes, based on an analysis of 60 selected papers. Key findings include the importance of predictive analytics, privacy and security, context-aware features, real-time monitoring, interoperability, efficiency strategies, personalized user engagement, user interface design, and behavioral aspects. We highlight technological advancements that facilitate more comprehensive applications and identify the need for integrating diverse features to build consumer trust and acceptance. This review provides an overview of current smart home technologies and suggests future research directions to enhance energy efficiency, user comfort, and environmental sustainability.en
dc.identifier.doi10.18420/inf2024_103
dc.identifier.eissn2944-7682
dc.identifier.isbn978-3-88579-746-3
dc.identifier.issn2944-7682
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/45074
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2024
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-352
dc.subjectSmart Home
dc.subjectArtificial Intelligence-Based Assistance Systems
dc.subjectData-Driven Assistance
dc.subjectEnvironmental Sustainability
dc.subjectEnergy Efficiency
dc.subjectGrounded Theory Literature Reviews
dc.titleArtificial Intelligence-Based Assistance Systems for Environmental Sustainability in Smart Homes: A Systematic Literature Review on Requirements and Future Directionsen
dc.typeText/Conference Paper
gi.citation.endPage1182
gi.citation.publisherPlaceBonn
gi.citation.startPage1165
gi.conference.date24.-26. September 2024
gi.conference.locationWiesbaden
gi.conference.sessiontitle5. Workshop "KI in der Umweltinformatik" (KIU-2024)

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