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What Should we Care About in AAL? Unveiling the Main Interests of the Users in the Legal Context
Stockholms universitet, Juridiska fakulteten, Juridiska institutionen, Institutet för rättsinformatik (IRI).ORCID-id: 0000-0002-2540-3899
2024 (engelsk)Inngår i: 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG): 27-31 May 2024, Piscataway: IEEE, 2024Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

While AAL technologies continue to improve their effectiveness in assisting senior citizens, they also give rise to ethical and social concerns. This can be attributed to the diverse interests of various stakeholders involved. Achieving a balance among stakeholders' interests holds the potential to enhance users' trust in AAL technologies, thereby fostering greater acceptance of these innovations. A vital step in that process involves recognizing the stakeholders involved, along with their respective interests. This paper aims to identify and categorise the primary interests of users within the context of video-based AAL. To accomplish this, the paper begins by presenting the theoretical framework of the concept of interest, along with the methodologies employed for the identification of interests. Subsequently, the key interests pertaining to AAL users are determined. This is achieved by examining relevant scholarly works that discuss the interests of AAL users, and organizing them based on the underlying values they represent: personal autonomy, quality of life, privacy, and economic interests. In doing so, also the legal protection of each interest is discussed. Thus, this paper combines the legal context of AAL users' interests with the perspectives of other social sciences, which is the novelty of this contribution. Finally, the concluding section provides a summary of the findings, and presents the resulting conclusions.

sted, utgiver, år, opplag, sider
Piscataway: IEEE, 2024.
Serie
International Conference on Automatic Face and Gesture Recognition, E-ISSN 2770-8330
HSV kategori
Forskningsprogram
rättsinformatik
Identifikatorer
URN: urn:nbn:se:su:diva-232076DOI: 10.1109/fg59268.2024.10582034Scopus ID: 2-s2.0-85199461241ISBN: 979-8-3503-9494-8 (digital)OAI: oai:DiVA.org:su-232076DiVA, id: diva2:1885404
Konferanse
18th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2024), Istanbul, Turkey, 27-31 May, 2024
Forskningsfinansiär
EU, Horizon 2020, 861091Tilgjengelig fra: 2024-07-23 Laget: 2024-07-23 Sist oppdatert: 2024-09-13bibliografisk kontrollert

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Kuzmicz, Maksymilian

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