Although there are many privacy-enhancing tools designed to protect users’ online privacy, it is surprising to see a lack of user-centric solutions allowing privacy control based on the joint assessment of privacy risks and benefits, due to data disclosure to multiple platforms. In this paper, we propose a conceptual framework to fill the gap: aiming at user-centric privacy protection, we show that the framework can assess not only privacy risks in using online services but also the added values earned from data disclosure. Through following a human-in-the-loop approach, it is expected that the framework can provide a personalized solution via preference learning, continuous privacy assessment, behavioral monitoring and nudging. Finally, we describe a case study about “leisure travelers” and some areas for further research.
CITATION STYLE
Lu, Y., Li, S., Ioannou, A., & Tussyadiah, I. (2019). From Data Disclosure to Privacy Nudges: A Privacy-Aware and User-Centric Personal Data Management Framework. In Communications in Computer and Information Science (Vol. 1123 CCIS, pp. 262–276). Springer. https://doi.org/10.1007/978-981-15-1304-6_21
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