People in online social networks are constantly sharing information with different audiences and it becomes more and more difficult for them to keep track of distributed information. Further, due to the complexity of the digital landscape, it is a constant risk to unintentionally share information to the wrong people, possibly leading to a loss of reputation. The European research project di.me is concerned with the development of a userware, empowering end-users to keep track of their digital footprints, with an intelligent user interfaces (UI) and smart advisory. In this paper we present how we calculate persons trust and inform the privacy of resources shared among persons. We show the concepts for trust and privacy advisory in the di.me userware and address problems, we were confronted within the design and evaluation process and how we tackled them. In this respect we specifically address change requirements (i.e. trust model and UI improvements) we conducted after an evaluation and user trials with a first prototype. © 2013 Springer-Verlag.
CITATION STYLE
Heupel, M., Bourimi, M., & Kesdoǧan, D. (2013). Trust and privacy in the di.me userware. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8006 LNCS, pp. 39–48). https://doi.org/10.1007/978-3-642-39265-8_5
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