Contextualized attention metadata

Abstract

We describe and motivate the use of a schema for contextualized attention metadata (CAM) and a framework for capturing and exploiting such data. CAM are data about computer- related activities and the foci of attention of computer users. As such, they are a prerequisite for the personalization of both information and task environments. We outline the possibilities of utilizing CAM, with a focus on technology enhanced learning (TLE) scenarios, presenting the MACE system for architecture education as a CAM test bed.