Johana Cabinakova’s research while affiliated with University of Freiburg and other places

Over the last decades, personal data has become a crucial asset for digital services. The exploit a tion of this asset, however, entai ls severe threats to privacy. Recently, so - called Privacy Dashboards have been presented, which are tools that allow users to gain insight and exercise control over data that a digital service provider has accumulated about them. This innovation enables no t only privacy prote c- tion but also new ways of collaboration of users and providers of digital services. Privacy Das h boards have the potential to allow users to participate in the generation of user profiles for personalized se r- vices, thereby contributing to improved services. However, w hile a v ariety of Privacy Dashboards has been presented, factors leading to their actual adoption by users are largely unexplored. To fill this research gap, this paper provides an empirical analysis of antecedents of users’ adoption of Pr i vacy Dashboards, in that focusing in particular on the currently most - prominent Privacy Dashboard “Google My Account”. Integrating the Technology Acceptance Model and the Privacy Calculus, our analysis shows that trust is the crucial factor in users’ adoption of the examined Privacy Dashboard and that Privacy Dashboards can both support users in protec t ing their privacy but also induce them to disclose personal data and thereby contribute to more precise user profiles

While accountability is increasingly discussed as a privacy principle, it is far from clear how to achieve privacy protection through accountability. Moreover, it is even unclear how to define accountability in this context. This paper provides a conceptualization of accountability for the context of privacy protection based upon a review of the literature. The presented literature review aims at identifying a minimal core of accountability for the context of privacy protection to provide a foundation for requirements analysis for accountability-centric privacy protection mechanisms.