Dynamic Stimuli

Dynamic Stimuli

Kuno Kurzhals

Eurographics Tutorial: Eye Tracking Visualization | 05/04/2015 | Zürich, Schweiz

 Eye tracking of videos

 Commercials

 Movies

 Educational Videos

 Eye tracking of active content

 Eye tracking glasses

 Human-computer interaction

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Dynamic Stimuli

Transformers. Paramount Pictures, 2007 www.payback.de, 2013

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Classification of Eye Tracking Visualizations

Eye Tracking Visualizations

Point-based Visualizations

AOI-based Visualizations

Temporal Spatial

Spatio-Temporal

Temporal Spatial

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2 Approaches

Point-based Analysis with Space-Time Cube

 Gaze point analysis

 Attentional synchrony

 Cluster analysis

 Important AOIs

4 AOI-based Analysis

 Temporal distribution of attention on AOIs

 Visualize scanpaths similarities

Eye Tracking Visualizations

Point-based Visualizations

AOI-based Visualizations

Temporal Spatial Spatio-Temporal

Temporal Spatial

 Static overview of spatiotemporal data

 Space-Time Cube visualization

 Automatic data processing

 Interaction

 Density filter

 Cluster size filter

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Point-based Analysis

 Color mapping based on density

 Remove sparse data

 Attentional synchrony

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Gaze Points

 Spatiotemporal clustering of gaze points (mean shift)

 Information about the most important AOIs

 Mapping of AOIs to objects needed

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Spatiotemporal Clustering

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AOI Visualization

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AOI Timeline

 Separate AOI timelines

 Attention histograms

 AOI overview

 Size

 Position

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Objects in the STC

 Separate timelines for participants

 AOI hits in corresponding color

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Scarf Plots

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Combining Point-based & AOI-based

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Scanpath Comparison

 Visual Analysis of eye tracking data from video stimuli

 Point-based analysis with STC

 AOI-based analysis with AOI timelines and scarf plots

 Combination of both approaches to cover various analysis tasks

Future Work

 Comparison of videos with individual content

 Head-mounted eye tracker

 Interactive visualizations

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Conclusion

For more information, visit:

http://go.visus.uni-stuttgart.de/stva

 Images

 Videos

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Thank you for your attention.