TU Darmstadt / ULB / TUbiblio

Decide Yourself or Delegate - User Preferences Regarding the Autonomy of Personal Privacy Assistants in Private IoT-Equipped Environments

Marky, Karola ; Stöver, Alina ; Prange, Sarah ; Bleck, Kira ; Gerber, Paul ; Zimmermann, Verena ; Müller, Florian ; Alt, Florian ; Mühlhäuser, Max (2024)
Decide Yourself or Delegate - User Preferences Regarding the Autonomy of Personal Privacy Assistants in Private IoT-Equipped Environments.
CHI'24: CHI Conference on Human Factors in Computing Systems. Honolulu, USA (11.03.2024-16.03.2024)
doi: 10.1145/3613904.3642591
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Personalized privacy assistants (PPAs) communicate privacy-related decisions of their users to Internet of Things (IoT) devices. There are different ways to implement PPAs by varying the degree of autonomy or decision model. This paper investigates user perceptions of PPA autonomy models and privacy profiles – archetypes of individual privacy needs – as a basis for PPA decisions in private environments (e.g., a friend’s home). We first explore how privacy profiles can be assigned to users and propose an assignment method. Next, we investigate user perceptions in 18 usage scenarios with varying contexts, data types and number of decisions in a study with 1126 participants. We found considerable differences between the profiles in settings with few decisions. If the number of decisions gets high (> 1/h), participants exclusively preferred fully autonomous PPAs. Finally, we discuss implications and recommendations for designing scalable PPAs that serve as privacy interfaces for future IoT devices.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2024
Autor(en): Marky, Karola ; Stöver, Alina ; Prange, Sarah ; Bleck, Kira ; Gerber, Paul ; Zimmermann, Verena ; Müller, Florian ; Alt, Florian ; Mühlhäuser, Max
Art des Eintrags: Bibliographie
Titel: Decide Yourself or Delegate - User Preferences Regarding the Autonomy of Personal Privacy Assistants in Private IoT-Equipped Environments
Sprache: Englisch
Publikationsjahr: 11 Mai 2024
Verlag: ACM
Buchtitel: CHI'24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
Veranstaltungstitel: CHI'24: CHI Conference on Human Factors in Computing Systems
Veranstaltungsort: Honolulu, USA
Veranstaltungsdatum: 11.03.2024-16.03.2024
DOI: 10.1145/3613904.3642591
Kurzbeschreibung (Abstract):

Personalized privacy assistants (PPAs) communicate privacy-related decisions of their users to Internet of Things (IoT) devices. There are different ways to implement PPAs by varying the degree of autonomy or decision model. This paper investigates user perceptions of PPA autonomy models and privacy profiles – archetypes of individual privacy needs – as a basis for PPA decisions in private environments (e.g., a friend’s home). We first explore how privacy profiles can be assigned to users and propose an assignment method. Next, we investigate user perceptions in 18 usage scenarios with varying contexts, data types and number of decisions in a study with 1126 participants. We found considerable differences between the profiles in settings with few decisions. If the number of decisions gets high (> 1/h), participants exclusively preferred fully autonomous PPAs. Finally, we discuss implications and recommendations for designing scalable PPAs that serve as privacy interfaces for future IoT devices.

Freie Schlagworte: IoT, personal privacy assistance, privacy, privacy profiles
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Telekooperation
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Graduiertenkolleg 2050 Privacy and Trust for Mobile Users
Hinterlegungsdatum: 27 Nov 2024 13:04
Letzte Änderung: 27 Nov 2024 13:04
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