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Updated: Jul 11, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
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Guided Visual Analytics for Image Selection in Time and Space.

Ignacio Perez-Messina, Davide Ceneda, Silvia Miksch

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    Summary
    This summary is machine-generated.

    This study introduces a visual analytics tool to help select optimal archival aerial images for Unexploded Ordnance (UXO) detection. The guidance-enhanced prototype improves analysis quality and user behavior in image selection tasks.

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    Area of Science:

    • Geospatial analysis
    • Computer-assisted detection
    • Visual analytics

    Background:

    • Unexploded Ordnance (UXO) detection from archival aerial images is crucial for identifying buried threats.
    • Image selection is a critical, complex phase requiring optimal spatial and temporal coverage with minimal resources.
    • Existing methods lack sufficient guidance for efficient and effective image selection.

    Purpose of the Study:

    • To develop and evaluate a guidance-enhanced visual analytics prototype for Unexploded Ordnance (UXO) detection image selection.
    • To improve the efficiency and quality of image selection by incorporating domain expert knowledge and user-centered design.
    • To analyze the impact of guidance on user behavior and analysis outcomes in UXO detection workflows.

    Main Methods:

    • User task analysis and expert knowledge elicitation for designing the visual analytics tool.
    • Development of quality metrics for assessing image set suitability for UXO detection.
    • Implementation of a guidance system within a visual analytics prototype.
    • User study comparing image selection with and without the guidance prototype in real-world scenarios.

    Main Results:

    • The guidance-enhanced prototype was well-received and found to be highly usable by domain experts.
    • Guidance significantly altered user behavior, leading to improved quality in the selected image sets for UXO detection.
    • User study results demonstrated enhanced analysis outcomes and efficiency with the developed tool.

    Conclusions:

    • Guidance-enhanced visual analytics is effective for optimizing image selection in Unexploded Ordnance (UXO) detection.
    • The developed prototype offers a usable and valuable solution for complex geospatial analysis tasks.
    • Further research can explore adaptive guidance strategies for personalized user support.