Mobile multi sensor geo-context and attention tracking system for window-shoppers in urban environments

Analysis of human attention is a crucial issue to understand the user's actual needs as it is investigated by commercial applications for market studies. A novel framework concept based on a mobile eye tracker and wearable sensors will enable to characterize the user's situation and allow automated analysis with semantic mapping functionality. In this paper, the first approach for location-context supported attention tracking is discussed.