Privacy Analysis and User Specific Privacy Recommendations for Apps and Mobile Devices
Projects Partners
- secuvera GmbH, BSI-certified IT security service provider and test center, project coordinator
- Distributed Artificial Intelligence Laboratory (DAI-Labor), research center for intelligent security solutions
- Fraunhofer SIT Darmstad, testlab for mobile security
- Institut für Technik und Journalismus e.V., social transfer and technical journalism
Funding
German Federal Ministry of Education and Research
Duration
May 2020 to October 2023
Description
The PANDERAM project contributes to strengthening the sovereignty and freedom of choice for users when interacting with smartphones and apps. To ensure this, the actual use of their own data is made visible and assessable. At the same time, users are given alternatives and options for action to improve their own security and data protection. This information is combined in a security and analysis center. Here, information is made available through interactive dialogues, presented in a usable form and adapted to individual preferences.
In the PANDERAM project, the Professorship of Cognitive Psychology and Human Factors will be responsible for the user-centered design process of the security and analysis center. The research focus is on the specification of behavioral levels and the derivation and evaluation of user-specific actions.
Publications
Weinhold, S., & Döbelt, S. (2023). Datenbasierte Personas für die Entwicklung von Privatsphären- und Datenschutz-Tools für Apps und Mobilgeräte [Data-based personas for privacy and data protection tool development for apps and mobile devices]. Poster presentation National Conference IT-Security Reseach, March 13th - 15th, Berlin, Germany.
Döbelt, S. & Halama, J. (2023). Clean up my Phone: Field Trial Results of a Privacy Tool Increasing Transparency about App Behavior. International Symposium on Technikpsychologie, February 15th, 2023, Darmstadt, Germany.
Döbelt, S. (2021). Protect What I Value: The Relevance of Values in Privacy-Preserving Behavior and Technology Design. To be presented at the 12th congress of the DGPs departments Work, Organizational, and Economic Psychology and Human Factors, 22.-24.9.2021, Chemnitz, Germany.
Döbelt, S., & Günther, M. (2021). Two Values Work Alike: Linking Proenvironmental and Privacy Preserving Behavior. In A. Huckauf, M. Baumann, M. Ernst, C. Herbert, M. Kiefer, & M. Sauter (Eds.), TeaP 2021 - Abstracts of the 63th Conference of Experimental Psychologists. Lengerich: Pabst Science Publishers
Döbelt, S., & Kienzle, F. (2021). Privatsphärenschutz bei der Nutzung digitaler Technologien und Services: Der Grundton macht die Musik. In AW AlgorithmWatch gGmbH, & Gesellschaft für Informatik e.V. (GI) (Eds.), Arbeitspapier (In-)transparente Datenschutzerklärungen und digitale Mündigkeit des Digital Autonomy Hub, April 2021, 6-7.
Project Results
Döbelt, S., & Köhler, M. (2023). Laboratory Study 2 "PANDERAM Prototype - Smartphone Security" - result presentation. PANDERAM. sub-project TUC: User Centered Research (WP 7)
Döbelt, S., & Lange, D. (2023). Laboratory Study 1 "PANDERAM Prototype - App Analysis and Isomorphism" - result presentation. PANDERAM. sub-project TUC: User Centered Research (WP 7).
Weinhold, S., & Döbelt, S. (2022). Online study "Development and Evaluation of Data-Based Personas" – result presentation. PANDERAM. sub-project TUC: User Centered Research (WP 6).
Siebert, N., & Döbelt, S. (2022). Online study “The app as friend and foe” – short presentation. PANDERAM. sub-project TUC: User Centered Research (WP 6).
Döbelt, S. (2021). Follow-up study “Smartphone and App usage behavior” – results extreme groups. PANDERAM. sub-project TUC: User Centered Research (WP 6).
Döbelt, S. (2021). User study “Smartphone and App usage behavior” – results questionnaire. PANDERAM. sub-project TUC: User Centered Research (WP 6).
Press
Blog post project partner secuvera GmbH (04/28/2023; in German): Die PANDERAM-App. [The PANDERAM app].
Blog post project partner secuvera GmbH (01/12/2023; in German): Privatsphärenanalyse und Nutzerspezifische Datenschutzempfehlungen für Apps und Mobilgeräte [Privacy analysis and user-specific privacy recommendations for apps and mobile devices].
