A method for standardizing eye-tracking and behavioral data in real and virtual environments
Résumé
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.
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