Predicting Privacy Preferences for Smart Devices as Norms

TY - CHAP

T1 - Predicting Privacy Preferences for Smart Devices as Norms

AU - Serramia Amoros, Marc

AU - Seymour, William

AU - Criado, Natalia

AU - Luck, Michael

N1 - Conference code: 22

PY - 2023/2/17

Y1 - 2023/2/17

N2 - 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.

AB - 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.

KW - Norms

KW - Privacy

KW - Preferences

KW - Collaborative filtering

KW - Smart devices

M3 - Conference paper

BT - Proceedings of the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023)

PB - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

T2 - The 22nd International Conference on Autonomous Agents and Multiagent Systems

Y2 - 29 May 2023 through 2 June 2023

ER -