Design of collaborative and context aware mobile applications considering normative requirements from legal science and computer science (NORA)
Final Report Abstract
The DFG project NORA addressed the risks of losing control when processing personal data in applications and thus losing acceptance of such applications. These risks are addressed by the design of collaborative, context-sensitive mobile applications and algorithms according to normative requirements of the data protection law and computer science. In the project, a study was done on the correlation between data-protection-compliant design and user acceptance in context-processing systems. The study has confirmed that users are more willing to have their personal data processed if high levels of data protection are chosen. At the same time, however, a correlation between personal benefits from data processing and the acceptance of data processing was also shown. Users are more willing to have personal data processed if they expect an advantage from it. In the project, a method (KONA) was further developed and applied, which can successfully reconcile both the normative requirements of the data protection law and the requirements of computer science. The consideration of normative specifications from various disciplines was shown and examined using five approaches to collaborative communication control. It has also been shown that compliance with the requirements of the data protection law does not necessarily have a negative impact on the technical performance of an application. The method was also examined for its applicability by software developers. It has been shown that developers are open to such a method. The research also showed that a tool like this method would facilitate (or even enable) the inclusion of the data protection law requirements into the software. The method has also been shown to raise the developers' awareness of data protection requirements. The project showed that respecting data protection and efficient context processing, as well as high quality in context prediction, do not have to contradict each other. By designing technology using a systematic method, a solution can be found that is advantageous for both objectives.
Publications
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NORA: Gestaltung von kollaborativen kontextsensitiven mobilen Anwendungen. Zeitschrift für Datenschutz ZD-Aktuell 2020, 07387
Löber, L.
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Datenschutzfreundliche Algorithmen. Datenschutz und Datensicherheit - DuD, 45(9), 616-622.
Löber, Lena Isabell; Lange, Sebastian; David, Klaus & Roßnagel, Alexander
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Auf dem Weg zu einem Beschäftigtendatenschutzgesetz für das digitale Zeitalter? Zeitschrift für Datenschutz ZD-Aktuell 2022, 01120
Löber, L.
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Toward Social Role-Based Interruptibility Management. IEEE Pervasive Computing, 22(1), 59-68.
Anderson, Christoph; Heinisch, Judith Simone; Deldari, Shohreh; Salim, Flora; Ohly, Sandra; David, Klaus & Pejović, Veljko
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„‘Privacy by Design‘ am Beispiel der kollaborativen kontextsensitiven NORA-App zur Kommunikationsunterstützung von Wissensarbeit" ITeG Technical Reports, Herausgegeben vom Wissenschaftlichen Zentrum für Informationstechnik-Gestaltung (ITeG) an der Universität Kassel
Löber L.; Lange, S.; König I.; David K.; Roßnagel A.
