Creating storytelling visualizations for the Covid-19 pandemic using Feature-Action Design Patterns

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Electronic versions

Documents

  • Creating storytelling

    Final published version, 2.62 MB, PDF document

  • 1014-file-i36

    Final published version, 30.7 MB, video/mp4

In this bulletin video, we summarize a novel technique for authoring storytelling visualization [3–5]. The technique was developed by one of the teams in the RAMPVIS project [1, 2], 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.

Keywords

  • Visualization, Visual Analytics, COVID-19 responses, data patterns, storytelling, volunteering operation
Original languageEnglish
Title of host publicationIEEE VIS Workshop on Visualization for Pandemic and Emergency Responses 2023 (Vis4PandEmRes)
PublisherIEEE
Publication statusPublished - Oct 2023
EventIEEE VIS: Visualization & Visual Analytics: IEEE VIS 2023 - Melbourne Convention and Exhibition Centre, Melbourne, Australia
Duration: 22 Oct 202327 Oct 2023
https://ieeevis.org/year/2023/welcome

Conference

ConferenceIEEE VIS: Visualization & Visual Analytics
Abbreviated titleIEEE VIS
Country/TerritoryAustralia
CityMelbourne
Period22/10/2327/10/23
Internet address
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