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

  • Mandy GoramEmail author
  • Dirk Veiel
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11939)

Abstract

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.

Keywords

Context-based Adaptive Collaboration environment Privacy control Personalized explanations Legal regulations GDPR 

Notes

Acknowledgment

The project is supported (was supported) by funds of the Federal Ministry of Food and Agriculture (BMEL) based on a decision of the Parliament of the Federal Republic of Germany via the Federal Office for Agriculture and Food (BLE) under the rural development programme.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of Mathematics and Computer ScienceFernUniversität in HagenHagenGermany

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