Towards Effective Differential Privacy Communication for Users' Data Sharing Decision and Comprehension

Explore a 17-minute IEEE conference talk examining the effectiveness of communicating differential privacy techniques to laypersons in a health app data collection context. Delve into four online human-subject experiments investigating how different approaches to explaining differential privacy (DP) and local differential privacy (LDP) affect users' data sharing decisions and comprehension. Learn about the impact of various DP and LDP descriptions on participants' willingness to disclose low-sensitive and high-sensitive personal information. Discover the reasons behind users' data sharing choices and assess their subjective and objective understanding of DP and LDP concepts. Gain insights into how explaining the implications of privacy techniques, rather than their definitions or processes, can lead to better user comprehension and informed decision-making regarding data sharing in privacy-sensitive applications.