Citation:
Sjöberg , M , Chen , H-H , Floreen , P , Koskela , M , Kuikkaniemi , K , Lehtiniemi , T & Peltonen , J 2017 , Digital Me : Controlling and Making Sense of My Digital Footprint . in L Gamberini , A Spagnolli , G Jacucci , B Blankertz & J Freeman (eds) , Symbiotic Interaction : 5th International Workshop, Symbiotic 2016, Padua, Italy, September 29–30, 2016, Revised Selected Papers . Lecture Notes in Computer Science , vol. 9961 , SPRINGER , Cham , pp. 155-167 , International Workshop on Symbiotic Interaction , Padova , Italy , 29/09/2016 . https://doi.org/10.1007/978-3-319-57753-1_14
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Abstract:
Our lives are getting increasingly digital; much of our personal interactions are digitally mediated. A side effect of this is a growing digital footprint, as every action is logged and stored. This data can be very powerful, e.g., a person’s actions can be predicted, and deeply personal information mined. Hence, the question of who controls the digital footprint is becoming a pressing technological and social issue. We believe that the solution lies in human-centric personal data, i.e., the individuals themselves should control their own data. We claim that in order for human-centric data management to work, the individual must be supported in understanding their data. This paper introduces a personal data storage system Digital Me (DiMe). We describe the design and implementation of DiMe, and how we use state-of-the-art machine learning for visualisation and interactive modelling of the personal data. We outline several applications that can be built on top of DiMe.
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