DocumentCode :
2549702
Title :
Prospects for Context Prediction Despite the Principle of Informational Self-Determination
Author :
Voigtmann, Christian ; David, Klaus ; Zirfas, Julia ; Skistims, Hendrik ; Rossnagel, Alexander
Author_Institution :
Dept. of Comput. Sci., Univ. of Kassel, Kassel, Germany
fYear :
2010
fDate :
22-27 Aug. 2010
Firstpage :
89
Lastpage :
92
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 self determination will be presented. Finally, possible solutions for overcoming these problems will be outlined.
Keywords :
data privacy; ubiquitous computing; context prediction; informational self-determination principle; user personal data; Context; Data processing; History; Intelligent sensors; Privacy; Smart homes; context awareness; context prediction; informational self-determination; privacy; trust;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Human-Oriented and Personalized Mechanisms, Technologies and Services (CENTRIC), 2010 Third International Conference on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-7778-4
Electronic_ISBN :
978-0-7695-4141-9
Type :
conf
DOI :
10.1109/CENTRIC.2010.16
Filename :
5600343
Link To Document :
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