Until now informational self-determination has not
been examined in relation to context prediction. The right of users
to decide whether or not and how they want their personal data
to be used is not ensured. This paper analyses the problem by
introducing the state of the art and application fields of context
prediction with focus on the users’ personal data. Subsequently,
informational self-determination and the problems that arise if
techniques of context prediction compete with informational selfdetermination
will be presented. Finally, possible solutions for
overcoming these problems will be outlined.
%0 Conference Paper
%1 voigtmann2010ContextTrust
%A Voigtmann, Christian
%A Zirfas, Julia
%A Skistims, Hendrik
%A David, Klaus
%A Roßnagel, Alexander
%D 2010
%I IEEE
%K Awareness Context ITeG ITegPub Informational Prediction Privacy Self-Determination Trust Venus comtec
%T Prospects for Context Prediction Despite the Principle of Informational Self-Determination
%X Until now informational self-determination has not
been examined in relation to context prediction. The right of users
to decide whether or not and how they want their personal data
to be used is not ensured. This paper analyses the problem by
introducing the state of the art and application fields of context
prediction with focus on the users’ personal data. Subsequently,
informational self-determination and the problems that arise if
techniques of context prediction compete with informational selfdetermination
will be presented. Finally, possible solutions for
overcoming these problems will be outlined.
@inproceedings{voigtmann2010ContextTrust,
abstract = {Until now informational self-determination has not
been examined in relation to context prediction. The right of users
to decide whether or not and how they want their personal data
to be used is not ensured. This paper analyses the problem by
introducing the state of the art and application fields of context
prediction with focus on the users’ personal data. Subsequently,
informational self-determination and the problems that arise if
techniques of context prediction compete with informational selfdetermination
will be presented. Finally, possible solutions for
overcoming these problems will be outlined.},
added-at = {2010-06-29T16:51:31.000+0200},
author = {Voigtmann, Christian and Zirfas, Julia and Skistims, Hendrik and David, Klaus and Roßnagel, Alexander},
biburl = {https://www.bibsonomy.org/bibtex/2d1d1eea8102bca189aaaf9b90cfc478f/voigtmannc},
interhash = {5db9ea02a0a8e79b4973df3f2ea026c6},
intrahash = {d1d1eea8102bca189aaaf9b90cfc478f},
keywords = {Awareness Context ITeG ITegPub Informational Prediction Privacy Self-Determination Trust Venus comtec},
publisher = {IEEE},
timestamp = {2010-09-29T10:05:28.000+0200},
title = {Prospects for Context Prediction Despite the Principle of Informational Self-Determination},
year = 2010
}