Article published In: Information Visualization
Edited by Isabel Meirelles, Marian Dörk and Yanni Loukissas
[Information Design Journal 27:1] 2022
► pp. 115–125
Visualising vapours
Graphical representation of Covid-19 transmission
Available under the Creative Commons Attribution-NonCommercial (CC BY-NC) 4.0 license.
For any use beyond this license, please contact the publisher at rights@benjamins.nl.
Published online: 21 November 2022
https://doi.org/10.1075/idj.22007.sta
https://doi.org/10.1075/idj.22007.sta
Abstract
The case study describes the process of designing an interactive visualisation tool to help people understand the likelihood of Covid-19 transmission in different situations. This visualisation was created as part of a 13 month long collaborative project between scientific experts from a UK government advisory group, and a multimedia team at The BMJ (British Medical Journal). The data underpinning the graphic was collected from 27 experts via a knowledge elicitation study. It includes discussion of lessons learned about collecting and visualising uncertain data, and the benefits of user testing.
Article outline
- The problem
- The seed of an idea
- Developing the visualisation
- Testing and refinement
- Publication
- Reflection and learning
References
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