Panoptic Visual Analytics of Eye Tracking Data

Valeria Garro; Veronica Sundstedt

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Paper

Panoptic Visual Analytics of Eye Tracking Data

Topics: Interpretation and Evaluation Methods; Visual Data Analysis and Knowledge Discovery; Visualization Algorithms and Technologies; Visualization Applications

In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISIGRAPP, 171-178, 2022

Authors: Valeria Garro and Veronica Sundstedt

Affiliation: Blekinge Institute of Technology, Karlskrona, Sweden

Keyword(s): Eye Tracking, Visualization, Semantic Areas of Interest, Panoptic Segmentation.

Abstract: In eye tracking data visualization, areas of interest (AOIs) are widely adopted to analyze specific regions of the stimulus. We propose a visual analytics tool that leverages panoptic segmentation to automatically divide the whole image or frame video in semantic AOIs. A set of AOI-based visualization techniques are available to analyze the fixation data based on these semantic AOIs. Moreover, we propose a modified version of radial transition graph visualizations adapted to the extracted semantic AOIs and a new visualization technique also based on radial transition graphs. Two application examples illustrate the potential of this approach and are used to discuss its usefulness and limitations.

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Paper citation in several formats:

Garro, V. and Sundstedt, V. (2022). Panoptic Visual Analytics of Eye Tracking Data. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - IVAPP; ISBN 978-989-758-555-5; ISSN 2184-4321, SciTePress, pages 171-178. DOI: 10.5220/0010889500003124

@conference{ivapp22,
author={Valeria Garro and Veronica Sundstedt},
title={Panoptic Visual Analytics of Eye Tracking Data},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - IVAPP},
year={2022},
pages={171-178},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010889500003124},
isbn={978-989-758-555-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - IVAPP
TI - Panoptic Visual Analytics of Eye Tracking Data
SN - 978-989-758-555-5
IS - 2184-4321
AU - Garro, V.
AU - Sundstedt, V.
PY - 2022
SP - 171
EP - 178
DO - 10.5220/0010889500003124
PB - SciTePress