J 2024

The Language of Infographics: Toward Understanding Conceptual Metaphor Use in Scientific Storytelling

POKOJNÁ, Hana, Tobias ISENBERG, Stefan BRUCKNER, Barbora KOZLÍKOVÁ, Laura GARRISON et. al.

Basic information

Original name

The Language of Infographics: Toward Understanding Conceptual Metaphor Use in Scientific Storytelling

Name (in English)

The Language of Infographics: Toward Understanding Conceptual Metaphor Use in Scientific Storytelling

Authors

POKOJNÁ, Hana, Tobias ISENBERG, Stefan BRUCKNER, Barbora KOZLÍKOVÁ and Laura GARRISON

Edition

IEEE Transactions on Visualization and Computer Graphics, United States of America, 2024, 1077-2626

Other information

Type of outcome

Článek v odborném periodiku

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 5.200 in 2022

Organization unit

Faculty of Informatics

Keywords in English

Visualization, visual metaphors, science communication, conceptual metaphors, visual communication

Tags

International impact, Reviewed
Změněno: 13/11/2024 08:02, doc. RNDr. Barbora Kozlíková, Ph.D.

Abstract

V originále

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 four domains (biomedicine, climate, space, and anthropology) that represent a diverse range of visual conceptual metaphors used in the visual communication of science. This work allows us to identify patterns of visual conceptual metaphor use within the domains, resolve ambiguities about why specific conceptual metaphors are used, and develop a better overall understanding of visual metaphor use in scientific infographics. Our analysis shows that ontological and orientational conceptual metaphors are the most widely applied to translate complex scientific concepts. To support our findings we developed a visual exploratory tool based on the collected database that places the individual infographics on a spatio-temporal scale and illustrates the breakdown of visual conceptual metaphors.

In English

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 four domains (biomedicine, climate, space, and anthropology) that represent a diverse range of visual conceptual metaphors used in the visual communication of science. This work allows us to identify patterns of visual conceptual metaphor use within the domains, resolve ambiguities about why specific conceptual metaphors are used, and develop a better overall understanding of visual metaphor use in scientific infographics. Our analysis shows that ontological and orientational conceptual metaphors are the most widely applied to translate complex scientific concepts. To support our findings we developed a visual exploratory tool based on the collected database that places the individual infographics on a spatio-temporal scale and illustrates the breakdown of visual conceptual metaphors.

Links

MUNI/A/1590/2023, interní kód MU
Name: Využití technik umělé inteligence pro zpracování dat, komplexní analýzy a vizualizaci rozsáhlých dat
Investor: Masaryk University, Using artificial intelligence techniques for data processing, complex analysis and visualization of large-scale data