Narrative Visualizations to Communicate Medical Data

The Covid 19 pandemic has once again shown how important it is to communicate medical knowledge and research insights to a broad audience without medical expertise in an understandable way. Recently, narrative visualization, i.e. the combination of storytelling techniques with interactive graphics is used to communicate scientific findings to a broad audience. Many tools have been developed to generate narrative visualizations based on tabular data. However, it is unclear to what extent these tools are also suitable for medical data, which also include 3D surface and volume data, as well as 2D slice images.

Figure 1: Authoring tool Ellipsis to generate stories based on tabular data [1].

Goal: The goal should be to do an extensive literature review. It shall be analyzed which software solutions are available for the creation of data-driven narrative visualizations and on which input data they are based. In addition, it will be analyzed to what extent existing tools are suitable for dealing with medical data and which requirements a medical-oriented tool for the creation of narrative visualizations should fulfill. Optionally, user interfaces can be prototyped and evaluated for such a medical authoring tool.

Type: Bachelor/Master Thesis (Team project (2 FIN students) would also be possible)

Requirements: Good skills in scientific reading and summarizing scientific papers; critical thinking; good transfer skills regarding the derivation of requirements for a medical narrative tool as well as analysis skills whether this is possible with existing tools.

[1] Satyanarayan, A., and Heer, J. “Authoring narrative visualizations with ellipsis.” Computer Graphics Forum. Vol. 33. No. 3. 2014.:
[2] Conlen, M., and Heer, J. “Idyll: A markup language for authoring and publishing interactive articles on the web.” Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology. 2018.:
[3] Meuschke, M., et al. “Towards Narrative Medical Visualization.” arXiv preprint arXiv:2108.05462 (2021).: