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2016
Conference Paper
Title
Application design for an eye tracking analysis based on visual analytics
Abstract
With this demo we show a new application design for analyzing eye tracking experiments following the visual analytics approach. This application design allows users to analyze large eye tracking data sets efficiently and to find interesting patterns in eye movement data as well as correlations between eye movements and other data streams. We describe the main characteristics of the implemented visualizations and pattern recognition algorithms, present the interaction concept and demonstrate the main analysis features in a use case concerning the development of a driver assistance system.