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Roles Matter! Understanding Differences in the Privacy Mental Models of Smart Home Visitors and Residents

Marky, Karola ; Prange, Sarah ; Mühlhäuser, Max ; Alt, Florian (2022)
Roles Matter! Understanding Differences in the Privacy Mental Models of Smart Home Visitors and Residents.
20th International Conference on Mobile and Ubiquitous Multimedia. Leuven, Belgium (05.12.2021-08.12.2021)
doi: 10.1145/3490632.3490664
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

In this paper, we contribute an in-depth study of the mental models of various roles in smart home ecosystems. In particular, we compared mental models regarding data collection among residents (primary users) and visitors of a smart home in a qualitative study (N=30) to better understand how their specific privacy needs can be addressed. Our results suggest that visitors have a limited understanding of how smart devices collect and store sensitive data about them. Misconceptions in visitors’ mental models result in missing awareness and ultimately limit their ability to protect their privacy. We discuss the limitations of existing solutions and challenges for the design of future smart home environments that reflect the privacy concerns of users and visitors alike, meant to inform the design of future privacy interfaces for IoT devices.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2022
Autor(en): Marky, Karola ; Prange, Sarah ; Mühlhäuser, Max ; Alt, Florian
Art des Eintrags: Bibliographie
Titel: Roles Matter! Understanding Differences in the Privacy Mental Models of Smart Home Visitors and Residents
Sprache: Englisch
Publikationsjahr: 25 Februar 2022
Verlag: ACM
Buchtitel: MUM'21: Proceedings of the 20th International Conference on Mobile and Ubiquitous Multimedia
Veranstaltungstitel: 20th International Conference on Mobile and Ubiquitous Multimedia
Veranstaltungsort: Leuven, Belgium
Veranstaltungsdatum: 05.12.2021-08.12.2021
DOI: 10.1145/3490632.3490664
Kurzbeschreibung (Abstract):

In this paper, we contribute an in-depth study of the mental models of various roles in smart home ecosystems. In particular, we compared mental models regarding data collection among residents (primary users) and visitors of a smart home in a qualitative study (N=30) to better understand how their specific privacy needs can be addressed. Our results suggest that visitors have a limited understanding of how smart devices collect and store sensitive data about them. Misconceptions in visitors’ mental models result in missing awareness and ultimately limit their ability to protect their privacy. We discuss the limitations of existing solutions and challenges for the design of future smart home environments that reflect the privacy concerns of users and visitors alike, meant to inform the design of future privacy interfaces for IoT devices.

Freie Schlagworte: Smart Homes, IoT Devices, Bystander Privacy
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Telekooperation
Hinterlegungsdatum: 28 Nov 2024 08:34
Letzte Änderung: 28 Nov 2024 08:34
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