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Embarrassingly Agile-Data Visualization Methodology in Emergency Responses.

Barbora Kozlikova, Daniel Archambault, Johannes Dreesman

    IEEE Computer Graphics and Applications
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    Summary
    This summary is machine-generated.

    The COVID-19 pandemic altered visualization design and implementation, especially during emergency responses. This study proposes adapted design methodologies to better suit emergency situations and their unique working conditions.

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    Area of Science:

    • Information Visualization
    • Human-Computer Interaction
    • Data Science

    Background:

    • The COVID-19 pandemic significantly impacted various aspects of daily life and professional practices.
    • The design and implementation of information visualizations were notably affected by the pandemic's emergent conditions.

    Purpose of the Study:

    • To reflect on the changes in visualization design and implementation necessitated by emergency response scenarios.
    • To propose modifications to existing visualization design methodologies to better accommodate emergency response contexts.

    Main Methods:

    • Reflective analysis of experiences with visualization design during the pandemic emergency response.
    • Identification of key challenges and adaptations in visualization practices.

    Main Results:

    • Emergency response contexts impose unique constraints and requirements on visualization design.
    • Existing design methodologies may require adjustments to effectively support rapid, high-stakes information dissemination.

    Conclusions:

    • Adapting visualization design methodologies is crucial for effective emergency response.
    • Future visualization design should consider the specific working conditions and demands of crisis situations.