User-Centered Privacy to Improve User Quantification using Smartphone Sensing

Bemmann, Florian (2023): User-Centered Privacy to Improve User Quantification using Smartphone Sensing. 25th ACM International Conference on Mobile Human-Computer Interaction (MobileHCI), Athens, Greece, 26. - 29. September 2023. Komninos, Andreas (Hrsg.): In: Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, ACM Conferences ; ACM Digital Library 42 New York: Association for Computing Machinery.

Abstract

Mobile sensing technologies enable adaptive and context-aware applications. At the same time, they raise a range of privacy concerns. Thus, to reduce privacy concerns today apps are restricted from accessing certain information hindering to deliver full personalization and novel adaptive use cases. I investigate this issue by shedding light on the privacy concerns that arise from state-of-the-art mobile sensing data, studying the users’ perspective on mobile smartphone privacy, and proposing concepts that protect the users’ privacy while keeping the resulting data usable. I found that there is a lack of user-centered privacy design and that control features play a key role to give the users more agency. My results motivate the proliferation of control-enhancing privacy features in mobile applications. I show that the benefits of trust and system adoption surpass any impairments that control features might bring to the data.

• Dokumententyp: Konferenzbeitrag (Paper)
• Fakultät: Mathematik, Informatik und Statistik > Informatik
• Themengebiete: 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
• ISBN: 978-1-4503-9924-1
• Ort: New York
• Sprache: Englisch