Is there a Tornado in Alex's Blood Flow? A Case Study for Narrative Medical Visualization

Abstract
Narrative visualization advantageously combines storytelling with new media formats and techniques, like interactivity, to create improved learning experiences. In medicine, it has the potential to improve patient understanding of diagnostic procedures and treatment options, promote confidence, reduce anxiety, and support informed decision-making. However, limited scientific research has been conducted regarding the use of narrative visualization in medicine. To explore the value of narrative visualization in this domain, we introduce a data-driven story to inform a broad audience about the usage of measured blood flow data to diagnose and treat cardiovascular diseases. The focus of the story is on blood flow vortices in the aorta, with which imaging technique they are examined, and why they can be dangerous. In an interdisciplinary team, we define the main contents of the story and the resulting design questions. We sketch the iterative design process and implement the story based on two genres. In a between-subject study, we evaluate the suitability and understandability of the story and the influence of different navigation concepts on user experience. Finally, we discuss reusable concepts for further narrative medical visualization projects.
Description

CCS Concepts: Human-centered computing → Empirical studies in interaction design; Visualization design and evaluation methods"

        
@inproceedings{
10.2312:vcbm.20221183
, booktitle = {
Eurographics Workshop on Visual Computing for Biology and Medicine
}, editor = {
Renata G. Raidou
and
Björn Sommer
and
Torsten W. Kuhlen
and
Michael Krone
and
Thomas Schultz
and
Hsiang-Yun Wu
}, title = {{
Is there a Tornado in Alex's Blood Flow? A Case Study for Narrative Medical Visualization
}}, author = {
Kleinau, Anna
and
Stupak, Evgenia
and
Meuschke, Monique
and
Mörth, Eric
and
Garrison, Laura A.
and
Mittenentzwei, Sarah
and
Smit, Noeska N.
and
Lawonn, Kai
and
Bruckner, Stefan
and
Gutberlet, Matthias
and
Preim, Bernhard
}, year = {
2022
}, publisher = {
The Eurographics Association
}, ISSN = {
2070-5786
}, ISBN = {
978-3-03868-177-9
}, DOI = {
10.2312/vcbm.20221183
} }
Citation