Interacting with eye movements in virtual environments
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Binocular eye tracking in VR for visual inspection training
VRST '01 Proceedings of the ACM symposium on Virtual reality software and technology
Gaze-orchestrated dynamic windows
SIGGRAPH '81 Proceedings of the 8th annual conference on Computer graphics and interactive techniques
Marker Tracking and HMD Calibration for a Video-Based Augmented Reality Conferencing System
IWAR '99 Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality
Visual deictic reference in a collaborative virtual environment
Proceedings of the 2004 symposium on Eye tracking research & applications
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
Informative or Misleading? Heatmaps Deconstructed
Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends
3D attentional maps: aggregated gaze visualizations in three-dimensional virtual environments
Proceedings of the International Conference on Advanced Visual Interfaces
Real-time 3D gaze analysis in mobile applications
Proceedings of the 2013 Conference on Eye Tracking South Africa
Proceedings of the Symposium on Eye Tracking Research and Applications
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Knowledge about the point of regard is a major key for the analysis of visual attention in areas such as psycholinguistics, psychology, neurobiology, computer science and human factors. Eye tracking is thus an established methodology in these areas, e. g., for investigating search processes, human communication behavior, product design or human-computer interaction. As eye tracking is a process which depends heavily on technology, the progress of gaze use in these scientific areas is tied closely to the advancements of eye-tracking technology. It is thus not surprising that in the last decades, research was primarily based on 2D stimuli and rather static scenarios, regarding both content and observer. Only with the advancements in mobile and robust eye-tracking systems, the observer is freed to physically interact in a 3D target scenario. Measuring and analyzing the point of regards in 3D space, however, requires additional techniques for data acquisition and scientific visualization. We describe the process for measuring the 3D point of regard and provide our own implementation of this process, which extends recent approaches of combining eye tracking with motion capturing, including holistic estimations of the 3D point of regard. In addition, we present a refined version of 3D attention volumes for representing and visualizing attention in 3D space.