Estimation of Interest from Physical Actions Captured by Familiar User Device

Abstract

such devices, we are planning to collect user actions reflecting their interests and put them to practical use in the real learning situations. Therefore, we need lightweight and effective data for estimating the user's interest. Here, we propose a methodology to estimate the users' interests by using face tracking data captured by a web camera. We describe our preliminary test results showing the potential effectiveness of such a methodology. This is part of our ongoing research on new interactive systems for supporting users in acquiring knowledge. Previous Work Research on recognition of user actions by various sensors has attracted the attention of researchers in computer science for a long time, and quite a lot of devices have been developed. Here, we introduce just some of those.