Abstract
Proper communication is key to the adoption and implementation of differential privacy (DP). In this work, we designed explanative illustrations of three DP models (Central DP, Local DP, Shuffler DP) to help laypeople conceptualize how random noise is added to protect individuals’ privacy and preserve group utility. Following a pilot survey and an interview, we conducted an online experiment (N = 300) exploring participants’ comprehension, privacy and utility perception, and data-sharing decisions across the three DP models. We obtained empirical evidence showing participants’ acceptance of the Shuffler DP model for data privacy protection. We discuss the implications of our findings.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 226-232 |
| Number of pages | 7 |
| Journal | Proceedings of the Human Factors and Ergonomics Society |
| Volume | 67 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2023 |
| Event | 67th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2023 - Columbia, United States Duration: Oct 23 2023 → Oct 27 2023 |
All Science Journal Classification (ASJC) codes
- Human Factors and Ergonomics
Fingerprint
Dive into the research topics of 'Exploring Use of Explanative Illustrations to Communicate Differential Privacy Models'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver