City Research Online

Abstract

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, https://dl.acm.org/doi/abs/10.5555/3545946.3598904
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

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