Embarrassingly Agile-Data Visualization Methodology in Emergency Responses

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.