Projects per year
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 language | English |
---|---|
Title of host publication | Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023) |
Publisher | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |
Publication status | E-pub ahead of print - 17 Feb 2023 |
Event | The 22nd International Conference on Autonomous Agents and Multiagent Systems - London, London, United Kingdom Duration: 29 May 2023 → 2 Jun 2023 Conference number: 22 https://aamas2023.soton.ac.uk/ |
Conference
Conference | The 22nd International Conference on Autonomous Agents and Multiagent Systems |
---|---|
Abbreviated title | AAMAS23 |
Country/Territory | United Kingdom |
City | London |
Period | 29/05/2023 → 2/06/2023 |
Internet address |
Keywords
- Norms
- Privacy
- Preferences
- Collaborative filtering
- Smart devices
Fingerprint
Dive into the research topics of 'Predicting Privacy Preferences for Smart Devices as Norms'. Together they form a unique fingerprint.Projects
- 1 Finished
-
SAIS: Secure AI assistantS
Such, J., Coté, M., Criado Pacheco, N., Luck, M., Moreau, L., Suarez de Tangil Rotaeche, G. & Wilkinson, B.
EPSRC Engineering and Physical Sciences Research Council
1/06/2020 → 30/11/2023
Project: Research