Predicting Privacy Preferences for Smart Devices as Norms
- URL: http://arxiv.org/abs/2302.10650v1
- Date: Tue, 21 Feb 2023 13:07:30 GMT
- Title: Predicting Privacy Preferences for Smart Devices as Norms
- Authors: Marc Serramia, William Seymour, Natalia Criado, Michael Luck
- Abstract summary: We present a collaborative filtering approach to predict user preferences as norms.
Using a dataset of privacy preferences of smart assistant users, we test the accuracy of our predictions.
- Score: 14.686788596611251
- License: http://creativecommons.org/licenses/by/4.0/
- 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.
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