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  4. Privacy and Personalization. The Trade-off between Data Disclosure and Personalization Benefit
 
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2019
Conference Paper
Title

Privacy and Personalization. The Trade-off between Data Disclosure and Personalization Benefit

Abstract
Personalization in principle cannot happen without information about individuals, requiring personalization systems to comply with official privacy regulations. However, in order to design personalization systems that provide the best possible privacy-related user experience, a more human-centered perspective has to be taken into account. As a first step towards this goal, in the present work we show the setup and results of an online survey investigating the relation between the intention to disclose certain categories of personal data and the type of benefit promised by personalization.
Author(s)
Wadle, Lisa-Marie
Fraunhofer-Institut für Bauphysik IBP  
Martin, Noemi
Fraunhofer-Institut für Bauphysik IBP  
Ziegler, Daniel  orcid-logo
Mainwork
UMAP 2019 Adjunct, 27th Conference on User Modeling, Adaptation and Personalization. Adjunct Publication  
Conference
Conference on User Modeling, Adaptation and Personalization (UMAP) 2019  
Open Access
File(s)
Download (985.53 KB)
Rights
Use according to copyright law
DOI
10.1145/3314183.3323672
10.24406/publica-r-404913
Additional link
Full text
Language
English
Fraunhofer-Institut für Arbeitswirtschaft und Organisation IAO  
Fraunhofer-Institut für Bauphysik IBP  
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