We present PeerSense, a system that provides meaningful co-presence information which serves as an enabler for various applications that require user's current social proximity information, for example contextual photo-sharing. Unlike traditional approaches for inferring co-presence, PeerSense is both privacy-preserving and easy-to-use.

Abstract. News aggregators are widely used to read RSS feeds but they require the user to be in front of a screen. While moving, people usually do not have any display, or very small ones. Moreover, they need to perform actions to get access to the news: download a tool, choose to generate audio files from the news, and send them to e.g. an MP3 player. We propose in this paper a system that automatically detects when the user leaves the computer room and directly sends the trans-coded news onto the user Smartphone. All the aggregated news are then transmitted to the user who can listen to them without any action. We present in this paper such a system and the very promising results we obtained after testing it.