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Supporting Privacy Control and Personalized Data Usage Explanations in a Context-Based Adaptive Collaboration Environment

机译:在基于上下文的自适应协作环境中支持隐私控制和个性化数据使用说明

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The General Data Protection Regulation, e.g., provides the "right of access by the data subject" and demands explanations of data usages, i.e. explanations where and for what purpose personal data is being processed. Supporting this kind of privacy control and related personalized explanations of data usage in context-based adaptive collaboration environments are big challenges. Currently, users cannot retrace the usage and the storage of their personal data in context-based adaptive collaboration environments. We address the aforementioned challenges by developing a context-based adaptive collaboration platform, the CONTact platform, that can be linked to or integrated into different kinds of collaboration environments (e.g., meinDorf55+, a novel community support system for elderly). The CONTact platform supports users with privacy control and personalized explanations of data usages. In this paper we present an excerpt of our extended domain model and two sample situations when privacy control and personalized explanations get relevant. We use a sample ontology that is based on our domain model to illustrate the related processes and rules. Using our approach users can control their data usage and are able to get personalized explanations of their data usage in a context-based adaptive collaboration environment. This helps us observing legal regulations, e.g. privacy laws like the GDPR.
机译:例如,《通用数据保护条例》规定了“数据主体的访问权”,并要求对数据使用进行说明,即说明在何处以及出于何种目的处理个人数据。在基于上下文的自适应协作环境中支持这种隐私控制和数据使用的相关个性化解释是很大的挑战。当前,用户无法在基于上下文的自适应协作环境中追溯其个人数据的使用和存储。我们通过开发基于上下文的自适应协作平台CONTact平台来解决上述挑战,该平台可以链接到或集成到不同类型的协作环境中(例如meinDorf55 +,这是一种针对老年人的新型社区支持系统)。 CONTact平台为用户提供隐私控制和个性化的数据使用说明。在本文中,我们提供了扩展域模型的摘录以及两个与隐私控制和个性化解释相关的示例情况。我们使用基于我们的领域模型的样本本体来说明相关的过程和规则。使用我们的方法,用户可以控制他们的数据使用,并且可以在基于上下文的自适应协作环境中获得有关其数据使用的个性化说明。这有助于我们遵守法律法规,例如隐私法,例如GDPR。

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