Creating storytelling visualizations for the Covid-19 pandemic using Feature-Action Design Patterns
Abstract
In this bulletin video, we summarize a novel technique for authoring storytelling visualization. The technique was developed by one of the teams in the RAMPVIS project, which provided visualization support to epidemiological modeling during the COVID-19 pandemic. The team explored the prevailing approaches, in the UK and internationally, for creating public-facing visualizations related to the pandemic. This ranged from those produced by a number of governments (e.g., the four home nations in the UK), organizations (e.g., WHO, UK ONS), universities (e.g., Johns Hopkins dashboards), media outlets (e.g., FT Coronavirus tracker), and non-commercial web services (e.g., Worldometers). The team concluded that we should complement, but not duplicate, the existing effort, and defined our goal as to inform the public through advanced storytelling visualization.
P. D. Ritsos, S. Khan, S. Jones, B. Bach, J. Meikle, J. C. Roberts, J. Wood, and M. Chen, “Creating storytelling visualizations for the Covid-19 pandemic using Feature-Action Design Patterns,” in Bulletins presented at the IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes), IEEE Conference on Visualization (IEEE VIS 2023), Melbourne, Australia, 2023.
Bibtex
@inproceedings{Ritsos-et-al-Bulletin-Vis4PandemRes-VIS2023,
author = {Ritsos, Panagiotis D. and Khan, Saiful and Jones, Scott and Bach, Benjamin and Meikle, Julie and Roberts, Jonathan C. and Wood, Jo and Chen, Min},
title = {{Creating storytelling visualizations for the Covid-19 pandemic using Feature-Action Design Patterns}},
year = {2023},
month = oct,
editor = {Abdul-Rahman, Alfie and Gaither, Kelly and Jentner, Wolfgang and Schreck, Tobias},
booktitle = {Bulletins presented at the IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes), IEEE Conference on Visualization (IEEE VIS 2023), Melbourne, Australia}
}