Digital Me: Controlling and Making Sense of My Digital Footprint

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A4 Artikkeli konferenssijulkaisussa
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Date
2017
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Mcode
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Language
en
Pages
155-167
Series
Symbiotic Interaction, Lecture Notes in Computer Science, Volume 9961
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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Keywords
Personal data management, Human-centric personal data, Knowledge work, Text analysis, Distributed representations, Interactive machine learning
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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