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Computers 2018, 7(1), 12; doi:10.3390/computers7010012

Visualizing the Provenance of Personal Data Using Comics

1
Department of Intelligent and Distributed Systems, Simulation and Software Technology, German Aerospace Center (DLR), 51147 Cologne, Germany
2
Faculty of Media, University of Applied Sciences Düsseldorf, 40476 Düsseldorf, Germany
*
Author to whom correspondence should be addressed.
Received: 1 November 2017 / Revised: 20 December 2017 / Accepted: 22 January 2018 / Published: 1 February 2018
(This article belongs to the Special Issue Quantified Self and Personal Informatics)
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Abstract

Personal health data is acquired, processed, stored, and accessed using a variety of different devices, applications, and services. These are often complex and highly connected. Therefore, use or misuse of the data is hard to detect for people, if they are not capable to understand the trace (i.e., the provenance) of that data. We present a visualization technique for personal health data provenance using comic strips. Each strip of the comic represents a certain activity, such as entering data using a smartphone application, storing or retrieving data on a cloud service, or generating a diagram from the data. The comic strips are generated automatically using recorded provenance graphs. The easy-to-understand comics enable all people to notice crucial points regarding their data such as, for example, privacy violations. View Full-Text
Keywords: provenance; quantified self; personal informatics; visualization; comics provenance; quantified self; personal informatics; visualization; comics
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Schreiber, A.; Struminksi, R. Visualizing the Provenance of Personal Data Using Comics. Computers 2018, 7, 12.

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