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

被引：10

作者：

Wadle, Lisa-Marie ^{[1
]}

Martin, Noemi ^{[1
]}

Ziegler, Daniel ^{[2
]}

机构：

[1] Fraunhofer IBP, Inst Bldg Phys, Stuttgart, Germany

[2] Fraunhofer IAO, Inst Ind Engn, Stuttgart, Germany

来源：

ADJUNCT PUBLICATION OF THE 27TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (ACM UMAP '19 ADJUNCT) | 2019年

关键词：

Personalization; Privacy Calculus; Positive User Experience; Personal Data; Data Protection; PARADOX;

D O I：

10.1145/3314183.3323672

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：319 / 324

页数：6

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