Abstract
Eye tracking is used to understand the way a viewer perceives a visual stimulus. Visual analytical means can help to gain insights in the recorded data. However, the analysis of eye movement is challenging as they do not follow any underlying network. Hence, unfiltered and detailed visualization of this data often suffers from cluttering and overplotting, which hampers pattern detection. To tackle these issues, we adapt an existing interactive filtering approach for geographic trajectory data and apply it to eye tracking trajectories. It allows to narrow down the data for a local analysis of different fixation patterns and eye movement between fixations, whileexploringthemdirectlythespatialcontextofthestimulus. In a case study we describe the application of our approach on an eye trackingexperimentusingastaticstimuluswithdatarecordedfrom eight participants.
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