Challenges and Open Issues in Visualization for Broad Audiences

Böttinger, Michael; Kostis, Helen-Nicole; Ynnermann, Anders

doi:10.1007/978-3-030-34444-3_21

Cited by 3 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Scene design. Following the suggestion of Böttinger et al [BKY20] to make scenes "as simple as possible without risking scientific credibility," we extract as much information as possible from real medical image data to generate data-driven stories. However, for creating simple and clearly understandable scenes for our target audience, visual abstraction and easy-to-use interaction techniques are necessary [VCI20].…”

Section: Discussionmentioning

confidence: 99%

Towards Narrative Medical Visualization

Meuschke¹,

Garrison²,

Smit³

et al. 2021

Preprint

View full text Add to dashboard Cite

Narrative visualization aims to communicate scientific results to a general audience and garners significant attention in various applications. Merging exploratory and explanatory visualization could effectively support non-expert understanding of scientific processes. Medical research results, e.g., mechanisms of the healthy human body, explanations of pathological processes, or avoidable risk factors for diseases, are also interesting to a general audience that includes patients and their relatives. This paper discusses how narrative techniques can be applied to medical visualization to tell data-driven stories about diseases. We address the general public comprising people interested in medicine without specific medical background knowledge. We derived a general template for the narrative medical visualization of diseases. Applying this template to three diseases selected to span bone, vascular, and organ system, we discuss how narrative techniques can support visual communication and facilitate understanding of medical data. Other scientists can adapt our proposed template to inform an audience on other diseases. With our work, we show the potential of narrative medical visualization and conclude with a comprehensive research agenda. CCS Concepts• Applied computing → Life and medical sciences; • Human-centered computing → Visualization;

show abstract

Section: Discussionmentioning

confidence: 99%

Towards Narrative Medical Visualization

Meuschke¹,

Garrison²,

Smit³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…The content of our stories comprises the development, diagnosis and treatment of selected diseases, where the main character is a patient. Following Böttinger et al [41] to make scenes "as simple as possible without risking scientific credibility," we extract as much information as possible from real medical image data to generate data-driven stories. Besides visual abstraction, easy-to-use interaction techniques that do not jeopardize scientific credibility are also necessary for creating clearly understandable scenes [2,42].…”

Section: Medical Story Designmentioning

confidence: 99%