Privacy;
Personalization;
Human–computer interaction;
Social networks;
E-commerce;
Location-based services;
D O I:
暂无
中图分类号:
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摘要:
Personalization technologies offer powerful tools for enhancing the user experience in a wide variety of systems, but at the same time raise new privacy concerns. For example, systems that personalize advertisements according to the physical location of the user or according to the user’s friends’ search history, introduce new privacy risks that may discourage wide adoption of personalization technologies. This article analyzes the privacy risks associated with several current and prominent personalization trends, namely social-based personalization, behavioral profiling, and location-based personalization. We survey user attitudes towards privacy and personalization, as well as technologies that can help reduce privacy risks. We conclude with a discussion that frames risks and technical solutions in the intersection between personalization and privacy, as well as areas for further investigation. This frameworks can help designers and researchers to contextualize privacy challenges of solutions when designing personalization systems.
机构:
Univ Augsburg, Fac Business & Econ, Augsburg, GermanyUniv Augsburg, Fac Business & Econ, Augsburg, Germany
Karwatzki, Sabrina
Dytynko, Olga
论文数: 0引用数: 0
h-index: 0
机构:
Univ Augsburg, Fac Business & Econ, Augsburg, GermanyUniv Augsburg, Fac Business & Econ, Augsburg, Germany
Dytynko, Olga
Trenz, Manuel
论文数: 0引用数: 0
h-index: 0
机构:
Univ Augsburg, Fac Business & Econ, Augsburg, Germany
Ctr European Econ Res, Res Dept Informat & Commun Technol, Mannheim, GermanyUniv Augsburg, Fac Business & Econ, Augsburg, Germany
机构:
Univ Michigan, Sch Management, Mkt, Flint, MI 48503 USA
Univ Michigan, Michigan Inst Data Sci, Ann Arbor, MI 48109 USAUniv Michigan, Sch Management, Mkt, Flint, MI 48503 USA