Experience-Based Curiosity Model: Curiosity Extracting Model Regarding Individual Experiences of Urban Spaces

摘要

Many online advertising and web-based recommendation systems have been developed, however not so many services consider individual's real activities in the real world for real time recommendation, regarding the experience of particular person. Environmental sensing from mobile devices has become capable of understanding the environment by sensing from mobile devices; though they do not necessary interact with the people directly. We present Experience-based Curiosity Model, a model indicating individual's real time curiosity within the city regarding how well the individual knows the city. It aims to understand individual's real time interests by not relying on information the people input intentionally but by understanding behavior data. This paper evaluates the model with this sensor device prototype, and elaborates possibilities when understanding individuals in detail by extracting the curiosity predicted from current behaviors using sensors.