Predicting Privacy Preferences for Smart Devices as Norms

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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.
Original languageEnglish
Title of host publicationProceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023)
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Publication statusE-pub ahead of print - 17 Feb 2023
EventThe 22nd International Conference on Autonomous Agents and Multiagent Systems - London, London, United Kingdom
Duration: 29 May 20232 Jun 2023
Conference number: 22
https://aamas2023.soton.ac.uk/

Conference

ConferenceThe 22nd International Conference on Autonomous Agents and Multiagent Systems
Abbreviated titleAAMAS23
Country/TerritoryUnited Kingdom
CityLondon
Period29/05/20232/06/2023
Internet address

Keywords

  • Norms
  • Privacy
  • Preferences
  • Collaborative filtering
  • Smart devices

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