Extracting user preference from human natural interactions with physical items

With the help of pervasive computing, nowadays it is possible to gather user preference of physical items based on natural interaction, i.e., recognizing and recording user's actual choosing behavior by sensors, then analyzing the history to learn his/her current preference. In this paper, we propose a method based on this idea and implement a prototype to collect and apply the dietary preference. Preliminary user study shows its effectiveness.