The paper will show, how different types of users are evaluating privacy and data security differently according to contextual differentiating traffic situations. The focus is hereby on an analysis of user types to see, if general attributes towards data capture can be identified. User requirements are investigated in age, gender, experience with driver assistance systems and technical affinity. Several significant effects like the influence of prior experience increasing the willingness to share data in an traffic optimizing scenario could be revealed. But results show also an undeniable reluctance towards sharing private data with other traffic participants or companies. Traffic management such as police or the infrastructure itself are however entrusted with various personal information and data.
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