TL;DR
This paper applies Conceptual Metaphor Theory to analyze visual metaphors in scientific infographics, developing a taxonomy and a tool to understand and guide metaphor use across scientific domains.
Contribution
It introduces a formal classification of visual conceptual metaphors in scientific visualization and creates a tool for analyzing and guiding infographic design.
Findings
Ontological and orientational metaphors are most common in scientific infographics.
Patterns of metaphor use vary across scientific domains.
A visual tool was developed to analyze metaphor deployment over time.
Abstract
We apply an approach from cognitive linguistics by mapping Conceptual Metaphor Theory (CMT) to the visualization domain to address patterns of visual conceptual metaphors that are often used in science infographics. Metaphors play an essential part in visual communication and are frequently employed to explain complex concepts. However, their use is often based on intuition, rather than following a formal process. At present, we lack tools and language for understanding and describing metaphor use in visualization to the extent where taxonomy and grammar could guide the creation of visual components, e.g., infographics. Our classification of the visual conceptual mappings within scientific representations is based on the breakdown of visual components in existing scientific infographics. We demonstrate the development of this mapping through a detailed analysis of data collected from…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
