Maximiliane Windl, LMU Munich/Munich Center for Machine Learning (MCML); Omer Akgul, Carnegie Mellon University/RSAC Labs; Nathan Malkin, New Jersey Institute of Technology; Lorrie Faith Cranor, Carnegie Mellon University
Radio-frequency sensors are often introduced as privacy-preserving alternatives to cameras, as they enable similar use cases without relying on visual data. However, researchers argue that radio-frequency sensors cause privacy risks similar to cameras and even introduce additional risks. We conducted in-depth interviews (N=14) and a large-scale vignette survey (N=510) to understand people's perceptions and privacy concerns around radio-frequency sensing. Most interviewees were initially unaware of the full capabilities of radio-frequency sensing but expressed nuanced concerns upon learning more. Our survey revealed that, while people expressed concerns, they mostly preferred radio-frequency sensors over cameras in private locations. However, they preferred cameras when considering radio-frequency sensing from a neighbor's perspective and in security-relevant situations. Protective measures can reduce concerns, but the best protection depends on the context. Our findings can inform educational and legislative efforts to ensure a privacy-preserving future with radio-frequency technology.
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author = {Maximiliane Windl and Omer Akgul and Nathan Malkin and Lorrie Faith Cranor},
title = {Privacy Solution or Menace? Investigating Perceptions of {Radio-Frequency} Sensing},
booktitle = {34th USENIX Security Symposium (USENIX Security 25)},
year = {2025},
isbn = {978-1-939133-52-6},
address = {Seattle, WA},
pages = {6045--6064},
url = {https://www.usenix.org/conference/usenixsecurity25/presentation/windl},
publisher = {USENIX Association},
month = aug
}
