The di.me Trust Approach for Supporting Collaborative Scenarios

Abstract

The European research project digital. me (di.me) developed the di.me userware, a social networking application which informs users' privacy by means of an adaptive trust metric. Information spread over different social networks is semantically aggregated and managed with intelligent user interfaces and semantic cores. Due to the nature of addressed collaborative scenarios, an elaboration and extension of trust definitions were required to cover different aspects. In this paper we report on the achievements of di.me regarding the developed trust-enhancing technologies. We primarily address the challenges that led to an extended trust definition followed in di.me. We also show how the respective trust metric was successively refined over the three years of the project by evaluating it within different collaborative scenarios with hundred of users at different events. Special focus lies on two selected scenarios from leisure and professional life, which demonstrate exemplary how trust-based privacy advisory was applied in di.me.