Nathan Eagle, Alex Pentland

Abstract

We introduce a system of sensing a social environment and cueing informal interactions between nearby users who don't know each other, but probably should. Proximate people are detected and identified using Bluetooth hardware addresses and matched from a database of user profiles. We show how inferred information from the mobile phone can augment existing profiles and we present a novel architecture for instigating face-to-face interaction designed to meet varying levels of privacy requirements. Finally, additional features are discussed as in response to results from an on-going user study involving one hundred subjects.