Voice Navigation in Web-Based Learning Materials —An Investigation Using Eye Tracking
IEICE - Transactions on Information and Systems
Inspection by Eye Tracking for Interactive e-Learning Materials with Synthesized Voice Navigations
Proceedings of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation
Advanced gaze visualizations for three-dimensional virtual environments
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
Space-variant spatio-temporal filtering of video for gaze visualization and perceptual learning
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
3D attentional maps: aggregated gaze visualizations in three-dimensional virtual environments
Proceedings of the International Conference on Advanced Visual Interfaces
Using gaze data in evaluating interactive visualizations
HCIV'09 Proceedings of the Second IFIP WG 13.7 conference on Human-computer interaction and visualization
Parallel scan-path visualization
Proceedings of the Symposium on Eye Tracking Research and Applications
A visual approach for scan path comparison
Proceedings of the Symposium on Eye Tracking Research and Applications
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Addressing data visualization challenges typically involves applying lessons from visualization theory to inform design and implementation approaches. This process is shaped to a large extent by the availability of tools that are aimed at enabling visualization designers to focus on visualization design rather than on low-level software engineering. Recently, such tools have become powerful enough to be used effectively. We discuss the ideation process informing our design approach and describe the use of Macromedia Flash MX 2004 for the rapid prototyping of a gaze data visualization tool. We highlight selected gaze data visualization ideas to illustrate the most innovative aspects of our design. In particular, we explain our strategy to reveal the underlying mechanisms that produce the summarizing visual constructs and why this is important. We introduce a new technique for visualizing gaze data for dynamic stimuli. The novelty of this approach is that it avoids the traditional frame-by-frame analyses typically carried out for such stimuli.