A recommendation approach for user privacy preferences in the fitness domain

@article{Sanchez2019ARA,
  title={A recommendation approach for user privacy preferences in the fitness domain},
  author={O. R. Sanchez and Ilaria Torre and Y. He and Bart P. Knijnenburg},
  journal={User Modeling and User-Adapted Interaction},
  year={2019},
  volume={30},
  pages={513-565}
}
Fitness trackers are undoubtedly gaining in popularity. As fitness-related data are persistently captured, stored, and processed by these devices, the need to ensure users’ privacy is becoming increasingly urgent. In this paper, we apply a data-driven approach to the development of privacy-setting recommendations for fitness devices. We first present a fitness data privacy model that we defined to represent users’ privacy preferences in a way that is unambiguous, compliant with the European… Expand
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  • Hosub Lee, A. Kobsa
  • Computer Science
  • 2017 IEEE International Conference on Pervasive Computing and Communications (PerCom)
  • 2017
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