Towards bridging the gap between Privacy Terms and Humans through Information Visualization

In this article we take a closer look at different approaches of how we can interact with privacy terms in a more meaningful way while considering our cognitive abilities as well as the given time in a representative situation (e. g. buying a product online). We give an overview about related work, especially new approaches of how to reduce complexity from a user perspective through automated processes as well as visualization.
Besides, we give a short overview about algorithmic privacy, as the underlying concept leads to one of the upcoming (visualization) questions: how can we communicate such methods effectively? Furthermore, we propose an approach to validate if a novel visualization approach in this field has the expected effect on the interpretation.