A Method for Standardizing Eye-Tracking and Behavioral Data in Real and Virtual Environments

Maxime Dumonteil, Marc J.-M. Macé, Valérie Gouranton, Théophane Nicolas, Ronan Gaugne

2025

Abstract

This paper introduces a methodology for generating standardized and comparable eye-tracking and behavioral data across multiple modalities, in real and virtual environments. Our approach handles data collected using different devices, thereby enabling a comprehensive comparison between different modalities: a real environment, a virtual one using an immersive room setup, and another virtual environment using head-mounted displays. The versatility of this methodology is illustrated through an archaeological case study, in which the gaze patterns and behavioral responses of participants are analyzed while they interact with artifacts. However, this methodology is applicable to broader research areas involving eye tracking and behavior in mixed environments. By explaining a workflow for the preparation, data acquisition, and post-processing of data, our approach enables the generation of 3D eye-tracking and behavioral data. Subsequently, our presentation is accompanied by examples of metrics and visualization that are relevant in such a comparison study, providing insights into cross-modal behavioral and gaze pattern analysis.

Paper Citation

in Harvard Style

Dumonteil M., Macé M., Gouranton V., Nicolas T. and Gaugne R. (2025). A Method for Standardizing Eye-Tracking and Behavioral Data in Real and Virtual Environments. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP; ISBN 978-989-758-728-3, SciTePress, pages 211-222. DOI: 10.5220/0013124100003912

in Bibtex Style

@conference{grapp25,
author={Maxime Dumonteil and Marc Macé and Valérie Gouranton and Théophane Nicolas and Ronan Gaugne},
title={A Method for Standardizing Eye-Tracking and Behavioral Data in Real and Virtual Environments},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP},
year={2025},
pages={211-222},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013124100003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP
TI - A Method for Standardizing Eye-Tracking and Behavioral Data in Real and Virtual Environments
SN - 978-989-758-728-3
AU - Dumonteil M.
AU - Macé M.
AU - Gouranton V.
AU - Nicolas T.
AU - Gaugne R.
PY - 2025
SP - 211
EP - 222
DO - 10.5220/0013124100003912
PB - SciTePress