ISeeCube: visual analysis of gaze data for video

@inproceedings{Kurzhals2014ISeeCubeVA,
  title={ISeeCube: visual analysis of gaze data for video},
  author={Kuno Kurzhals and Florian Heimerl and Daniel Weiskopf},
  booktitle={ETRA '14},
  year={2014}
}
We introduce a new design for the visual analysis of eye tracking data recorded from dynamic stimuli such as video. ISeeCube includes multiple coordinated views to support different aspects of various analysis tasks. It combines methods for the spatiotemporal analysis of gaze data recorded from unlabeled videos as well as the possibility to annotate and investigate dynamic Areas of Interest (AOIs). A static overview of the complete data set is provided by a space-time cube visualization that… CONTINUE READING
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