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A skeleton-based approach to analyzing oculomotor behavior when viewing animated characters.

Thibaut Le Naour¹, Jean-Pierre Bresciani¹

¹University of Fribourg, Switzerland.

Journal of Eye Movement Research

|April 8, 2021

Summary

This study introduces a novel method for visualizing viewer gaze patterns on animated characters. It quantifies oculomotor behavior, offering an intuitive tool to compare how individuals observe dynamic gestures.

Keywords:

AOI Eye tracking animated character gaze visualizations

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Area of Science:

Human-Computer Interaction
Computer Graphics
Cognitive Science

Background:

Understanding viewer attention is crucial for animation and interactive systems.
Analyzing oculomotor behavior provides insights into cognitive processing of dynamic stimuli.
Existing methods may lack intuitive visualization for spatial-temporal gaze patterns.

Purpose of the Study:

To develop a new approach for quantifying and visualizing oculomotor behavior.
To illustrate gaze distribution and temporal patterns of viewers watching animated characters.
To provide an efficient tool for comparing viewer gaze patterns.

Main Methods:

Development of a system to quantify and visualize oculomotor behavior.
Utilizing 'heat mesh' to display gaze distribution (time spent on body parts).
Linking viewer timelines to the heat mesh for integrated analysis.

Main Results:

Successful illustration of gaze distribution and temporal patterns.
Demonstration of an intuitive overview combining spatial and temporal gaze characteristics.
Validation of the system's utility in comparing oculomotor behaviors.

Conclusions:

The proposed approach offers an efficient tool for analyzing viewer attention to animated characters.
The 'heat mesh' and timeline visualization effectively represent complex gaze data.
The system is applicable to both 2D and 3D animated media.