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Eye-tracking Analysis of Interactive 3D Geovisualization.

Lukas Herman1, Stanislav Popelka2, Vendula Hejlova2

  • 1Masaryk University, Czech Republic.

Journal of Eye Movement Research
|April 8, 2021
PubMed
Summary

A new tool, 3DgazeR, simplifies eye-tracking analysis for interactive 3D models by calculating 3D gaze coordinates. This method is more efficient than manual review, aiding visualization research.

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Area of Science:

  • Computer Science
  • Human-Computer Interaction
  • Geographic Information Science

Background:

  • Analyzing eye-tracking data with interactive 3D models is challenging.
  • Manual analysis of scanpaths on screen recordings is time-consuming.
  • A need exists for efficient tools to process 3D gaze data.

Purpose of the Study:

  • Introduce 3DgazeR, a novel tool for eye-tracking data analysis.
  • Calculate 3D gaze coordinates (X, Y, Z) within interactive 3D environments.
  • Evaluate the tool's functionality using Digital Elevation Models and assess visualization methods.

Main Methods:

  • 3DgazeR calculates 3D gaze coordinates from virtual camera parameters and 2D gaze data.
  • The tool integrates with SMI and EyeTribe eye trackers via OGAMA.
Keywords:
3D analysis tool3D model3D visualizationGeographic Information Systemcartographyeye-tracking

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  • Raw eye-tracking data and fixations are processed to derive 3D coordinates.

    • Main Results:

    • Demonstrated the calculation of 3D gaze coordinates for points of view in a 3D scene.
    • Presented a case study using Digital Elevation Models to validate 3DgazeR's functionality.
    • Identified and presented five visualization methods for geographic 3D models.

    Conclusions:

    • 3DgazeR provides an efficient method for analyzing eye-tracking data in 3D environments.
    • The tool facilitates the study of user interaction with complex 3D visualizations.
    • Findings contribute to understanding optimal visualization techniques for geographic data.