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  • 1.
    Bagheri, Sally
    et al.
    Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
    Jacobsson, Andreas
    Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
    Davidsson, Paul
    Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).
    Smart Homes as Digital Ecosystems: Exploring Privacy in IoT Contexts2024In: Proceedings of the 10th International Conference on Information Systems Security and Privacy / [ed] Gabriele Lenzini; Paolo Mori; Steven Furnell, Portugal: SciTePress, 2024, p. 869-877Conference paper (Refereed)
    Abstract [en]

    Although smart homes are tasked with an increasing number of everyday activities to keep users safe, healthy, and entertained, privacy concerns arise due to the large amount of personal data in flux. Privacy is widely acknowledged to be contextually dependent, however, the interrelated stakeholders involved in developing and delivering smart home services – IoT developers, companies, users, and lawmakers, to name a few – might approach the smart home context differently. This paper considers smart homes as digital ecosystems to support a contextual analysis of smart home privacy. A conceptual model and an ecosystem ontology are proposed through design science research methodology to systematize the analyses. Four privacy-oriented scenarios of surveillance in smart homes are discussed to demonstrate the utility of the digital ecosystem approach. The concerns pertain to power dynamics among users such as main users, smart home bystanders, parent-child dynamics, and intimate partner relationships and the responsibility of both companies and public organizations to ensure privacy and the ethical use of IoT devices over time. Continuous evaluation of the approach is encouraged to support the complex challenge of ensuring user privacy in smart homes.

  • 2.
    Bagheri, Sally
    Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
    The Role of Ethics in Smart Homes2024Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    The home is commonly considered a private place to relax and be left alone. When introducing Internet of Things (IoT) into private spaces such as our homes, people transform into users of smart homes. Smart homes offer multiple benefits, such as increased security, entertainment, health, and energy efficiency. However, they also introduce various ethical challenges, such as managing the large amount of personal data in flux. From benign and seemingly harmless activities, such as your ideal indoor temperature or the time you turn your lights off at night, to deeply private and idiosyncratic ones, smart home-generated data can capture the wide-ranging activities that occur in the home. Analyzing ethical concerns related to smart homes requires an approach that explores the concerns contextually, as privacy is widely acknowledged to be defined in situ. Additionally, the interrelated stakeholders involved in developing and delivering smart home services – IoT developers, private companies, users, and lawmakers, to name a few – might approach the smart home context and its ethics differently. Methods to document ethical analyses to continue the exploration of smart home ethics over time and across stakeholder groups are currently lacking. A deeper examination into the role of ethics in smart homes is therefore warranted to develop methods supporting the contextual analysis of ethical risks and concerns. This thesis aims to review the literature on smart home ethics to consider the categories of smart home ethics and define its users. Subsequently, an approach to support ethical analyses of smart homes is developed based on conceptualizing smart homes as digital ecosystems. The analogy of a digital ecosystem has shown promise in supporting discussions across stakeholder groups and unifying the understanding of the context under analysis. The thesis documents the development and evaluation of a digital ecosystem approach and how it supports the contextual analysis of ethics in smart homes. The approach includes three artifacts developed by applying the design science research methodology. The artifacts include a species ontology defining four species of digital ecosystems, a conceptual model to depict the relationships between species and how data flows through the ecosystem, and a method to operationalize ethical analyses of smart homes. The method artifact is designed as a workshop and applies the ontology and conceptual model to support the systematic documentation of the analyses. Three workshops were conducted to evaluate the approach's utility in contextually defining unethical use cases of smart homes and eliciting ethical system requirements. The research contributions include a deeper understanding of smart home ethics and insights into how ethical analyses of domestic IoT might be conducted. Several ethical concerns are discussed in the thesis, such as the surveillance of children, data rights of smart home users beyond the household members, intimate partner violence, IoT gaslighting, IoT forensics, and power dynamics related to intrusive surveillance practices. This work may inform future research and policy developers to consider the smart home as a distinct site with unique challenges, seen as its connotations of being a private space, separate from but not independent of the public domain.

    List of papers
    1. Categories of Ethics in Smart Homes: A Systematic Literature Review
    Open this publication in new window or tab >>Categories of Ethics in Smart Homes: A Systematic Literature Review
    (English)Manuscript (preprint) (Other academic)
    National Category
    Media and Communications
    Identifiers
    urn:nbn:se:mau:diva-72600 (URN)
    Available from: 2024-12-09 Created: 2024-12-09 Last updated: 2024-12-12Bibliographically approved
    2. Who are the Users of Smart Homes? Surveillance in Domestic IoT Contexts
    Open this publication in new window or tab >>Who are the Users of Smart Homes? Surveillance in Domestic IoT Contexts
    (English)Manuscript (preprint) (Other academic)
    National Category
    Media and Communications
    Identifiers
    urn:nbn:se:mau:diva-72599 (URN)
    Note

    To be published March, 2025

    Available from: 2024-12-09 Created: 2024-12-09 Last updated: 2024-12-09Bibliographically approved
    3. Smart Homes as Digital Ecosystems: Exploring Privacy in IoT Contexts
    Open this publication in new window or tab >>Smart Homes as Digital Ecosystems: Exploring Privacy in IoT Contexts
    2024 (English)In: Proceedings of the 10th International Conference on Information Systems Security and Privacy / [ed] Gabriele Lenzini; Paolo Mori; Steven Furnell, Portugal: SciTePress, 2024, p. 869-877Conference paper, Published paper (Refereed)
    Abstract [en]

    Although smart homes are tasked with an increasing number of everyday activities to keep users safe, healthy, and entertained, privacy concerns arise due to the large amount of personal data in flux. Privacy is widely acknowledged to be contextually dependent, however, the interrelated stakeholders involved in developing and delivering smart home services – IoT developers, companies, users, and lawmakers, to name a few – might approach the smart home context differently. This paper considers smart homes as digital ecosystems to support a contextual analysis of smart home privacy. A conceptual model and an ecosystem ontology are proposed through design science research methodology to systematize the analyses. Four privacy-oriented scenarios of surveillance in smart homes are discussed to demonstrate the utility of the digital ecosystem approach. The concerns pertain to power dynamics among users such as main users, smart home bystanders, parent-child dynamics, and intimate partner relationships and the responsibility of both companies and public organizations to ensure privacy and the ethical use of IoT devices over time. Continuous evaluation of the approach is encouraged to support the complex challenge of ensuring user privacy in smart homes.

    Place, publisher, year, edition, pages
    Portugal: SciTePress, 2024
    Series
    ICISSP, ISSN 2184-4356
    Keywords
    Smart Homes, Internet of Things, Privacy, Digital Ecosystems.
    National Category
    Computer Sciences Computer Systems
    Identifiers
    urn:nbn:se:mau:diva-67030 (URN)10.5220/0012458700003648 (DOI)2-s2.0-85190898797 (Scopus ID)978-989-758-683-5 (ISBN)
    Conference
    The 10th International Conference on Information Systems Security and Privacy, February 26-28, 2024, Rome, Italy
    Available from: 2024-05-01 Created: 2024-05-01 Last updated: 2024-12-09Bibliographically approved
    4. The Role of Ethics in Smart Homes - A Workshop-Based Approach
    Open this publication in new window or tab >>The Role of Ethics in Smart Homes - A Workshop-Based Approach
    (English)Manuscript (preprint) (Other academic)
    National Category
    Media and Communications
    Identifiers
    urn:nbn:se:mau:diva-72601 (URN)
    Note

    To be published February 2025

    Available from: 2024-12-09 Created: 2024-12-09 Last updated: 2024-12-09Bibliographically approved
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  • 3.
    Strange, Michael
    et al.
    Malmö University, Faculty of Culture and Society (KS), Department of Global Political Studies (GPS).
    Mangrio, Elisabeth
    Malmö University, Faculty of Health and Society (HS), Department of Care Science (VV).
    Olsson, Carl Magnus
    Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
    Salvi, Dario
    Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
    Bagheri, Sally
    Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
    Maus, Benjamin
    Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
    Utgå inte från att AI alltid är lösningen i vården: Innovation kring hur vi använder AI i vården får inte bara bero på privata företag, skriver forskare från Malmö universitet som vill ta reda på vad som behövs för att bygga pålitlig AI2024In: Dagens Samhälle, ISSN 1652-6511, no 2024-10-24Article in journal (Other (popular science, discussion, etc.))
  • 4.
    Bagheri, Sally
    Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
    Categories of Ethics in Smart Homes: A Systematic Literature ReviewManuscript (preprint) (Other academic)
  • 5.
    Bagheri, Sally
    Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
    The Role of Ethics in Smart Homes - A Workshop-Based ApproachManuscript (preprint) (Other academic)
  • 6.
    Bagheri, Sally
    Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
    Who are the Users of Smart Homes? Surveillance in Domestic IoT ContextsManuscript (preprint) (Other academic)
1 - 6 of 6
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  • modern-language-association-8th-edition
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  • en-US
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