Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 203-220 |
| Number of pages | 18 |
| Journal | User Modeling and User-Adapted Interaction |
| Volume | 22 |
| Issue number | 1-2 |
| DOIs | |
| State | Published - Apr 2012 |
| Externally published | Yes |
Keywords
- E-commerce
- Human-computer interaction
- Location-based services
- Personalization
- Privacy
- Social networks
ASJC Scopus subject areas
- Education
- Human-Computer Interaction
- Computer Science Applications