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Tracing Personal Data Using Comics

Schreiber, Andreas and Struminski, Regina (2017) Tracing Personal Data Using Comics. Lecture Notes in Computer Science, 10277, pp. 444-455. Springer. DOI: 10.1007/978-3-319-58706-6_36 ISSN 0302-9743

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Official URL: https://link.springer.com/chapter/10.1007/978-3-319-58706-6_36

Abstract

Personal health data is acquired, processed, stored, and accessed using a variety of different devices, apps, and services. These are often complex and highly connected. Therefore, privacy violations and other use or misuse of the data are hard to detect for many people, because they are not able to understand the trace (i.e., the provenance) of that data. We present a visualization technique for personal health data provenance using comics strips. Each strip of the comic represents a certain activity, such as entering data using an app, 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 realize crucial points regarding their data.

Item URL in elib:https://elib.dlr.de/113547/
Document Type:Article
Title:Tracing Personal Data Using Comics
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schreiber, AndreasAndreas.Schreiber (at) dlr.dehttps://orcid.org/0000-0001-5750-5649
Struminski, ReginaHochschule DüsseldorfUNSPECIFIED
Date:16 May 2017
Journal or Publication Title:Lecture Notes in Computer Science
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:10277
DOI :10.1007/978-3-319-58706-6_36
Page Range:pp. 444-455
Editors:
EditorsEmail
Antona, MargheritaFoundation for Research and Technology - Hellas (FORTH)
Stephanidis, ConstantineFoundation for Research and Technology - Hellas (FORTH)
Publisher:Springer
Series Name:UAHCI 2017: Universal Access in Human–Computer Interaction. Design and Development Approaches and Methods
ISSN:0302-9743
Status:Published
Keywords:Provenance, Quantified Self, Personal informatics, Visualization, Comics
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben SISTEC
Location: Köln-Porz
Institutes and Institutions:Institut of Simulation and Software Technology
Institut of Simulation and Software Technology > Distributed Systems and Component Software
Deposited By: Schreiber, Andreas
Deposited On:21 Aug 2017 10:31
Last Modified:06 Sep 2019 15:22

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