Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
80 tokens/sec
GPT-4o
59 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
7 tokens/sec
GPT-4.1 Pro
50 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

From Data Disclosure to Privacy Nudges: A Privacy-aware and User-centric Personal Data Management Framework (1909.09942v1)

Published 22 Sep 2019 in cs.CR, cs.CY, cs.HC, and cs.SI

Abstract: Although there are 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 the user-centric privacy protection, we show the framework can not only assess 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 the framework provides a personalized solution via preference learning, continuous privacy assessment, behavior monitoring and nudging. Finally, we describe a case study towards "leisure travelers" and several future areas to be studied in the ongoing project.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (4)
  1. Yang Lu (157 papers)
  2. Shujun Li (67 papers)
  3. Athina Ioannou (2 papers)
  4. Iis Tussyadiah (1 paper)
Citations (4)