City Research Online

Predicting Privacy Preferences for Smart Devices as Norms

Serramia Amoros, M. ORCID: 0000-0003-0993-024X, Seymour, W., Criado, N. & Luck, M. (2023). Predicting Privacy Preferences for Smart Devices as Norms. In: AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems. (pp. 2262-2270). New York, USA: ACM. ISBN 9781450394321 doi: 10.5555/3545946


Smart devices, such as smart speakers, are becoming ubiquitous, and users expect these devices to act in accordance with their preferences. In particular, since these devices gather and manage personal data, users expect them to adhere to their privacy preferences. However, the current approach of gathering these preferences consists in asking the users directly, which usually triggers automatic responses failing to capture their true preferences. In response, in this paper we present a collaborative filtering approach to predict user preferences as norms. These preference predictions can be readily adopted or can serve to assist users in determining their own preferences. Using a dataset of privacy preferences of smart assistant users, we test the accuracy of our predictions.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © the authors | ACM 2023. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in AAMAS '23: International Conference on Autonomous Agents and Multiagent Systems,
Publisher Keywords: Norms; Privacy; Preferences; Collaborative filtering; Smart devices
Subjects: H Social Sciences > HN Social history and conditions. Social problems. Social reform
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology
Departments: School of Science & Technology > Computer Science
[thumbnail of AAMAS2023PredictingNormsPreferences.pdf]
Text - Accepted Version
Download (553kB) | Preview


Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email


Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login