Towards Considering User Privacy Preferences in Smart Water Management

Abstract

Adaptive systems are based on user preferences and needs, while sensing and context awareness are also essential features. Recently, the notion of smart homes requires the collection of different data from users, in order to provide them with a personalized user experience. In this context, smart water management can facilitate activities within the smart home. User privacy protection is vital in this environment to provide adaptive data collection and usage. In this paper, we introduce our vision towards user privacy protection in this setting by specifying and considering user privacy preferences, and we present our ongoing work and its initial results. The current work is being conducted in the framework of the TAMIT research project. This initial work will serve as a basis for the integration of user privacy management within TAMIT and can be a useful source of information for the management of user privacy preferences in similar platforms.