Graphic design for scientists

Cheng, Karen G.; Rolandi, Marco

doi:10.1038/nnano.2015.290

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…From the point of view of scientists, "figures have a prominent role in scientific publications and often take up the majority of time when preparing a manuscript. Scientists and engineers would greatly benefit from having the appropriate design knowledge to draw effective figures" (Cheng and Rolandi, 2015). From a technological point of view, there are a large number of programs that provide solutions to support research and scientific communication, such as CartoDB (Carto, 2020) or Vizzuality (cfse, 2020).…”

Section: Scientific Approachmentioning

confidence: 99%

“…In its application to scientific dissemination, "well-constructed graphics can widen the impact of research articles" (Marcus, 2010;Khoury et al, 2019). Some initiatives have been proposed in order to maintain "key connection between the sciences and the visual arts," such as Design Help Desk, a project funded by the National Science Foundation that investigates the impact of visual design on scientific figures (Cheng and Rolandi, 2015). Finally, numerous companies in the field of visualization maintain a commitment to scientific dissemination and social responsibility associated with a vision that transcends the pragmatic use of visualization and data analysis (Periscopic, 2020).…”

Section: Scientific Approachmentioning

confidence: 99%

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Dimensional Taxonomy of Data Visualization: A Proposal From Communication Sciences Tackling Complexity

Cavaller

2021

Front. Res. Metr. Anal.

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This article consists of a conceptual analysis—from the perspective of communication sciences—of the relevant aspects that should be considered during operational steps in data visualization. The analysis is performed taking as a reference the components that integrate the communication framework theory—the message, the form, the encoder, the context, the channel, and the decoder—which correspond to six elements in the context of data visualization: content, graphic representation, encoding setup, graphic design and approach, media, and user. The study is focused accordingly on the dimensions that these elements describe: the degrees of abstraction of the information, the functionalities of the tool for the graphical representation, the specifications for the setup of the visualization, the approach modes to the context by the graphic design, the levels of communication efficiency in the media, and the requirements of the visualization perceived as values from the user experience side. The unfolding of these dimensions is undertaken following a common pattern of six organizational layers of complexity—basic, extended, synthetic, dynamic, interactive, and integrative—according to the analytical criteria. The results of the detailed study, based on an extensive scientific literature review, allow the design of a dimensional taxonomy of data visualization built on a matrix structure where these elements act as factors of completeness and the layers act as factors of complexity. As a conclusion, an object-centered model constituted by an ordered series of phases and achievements is proposed as a guide to complete a systematic process of data visualization.

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Section: Scientific Approachmentioning

confidence: 99%

Section: Scientific Approachmentioning

confidence: 99%

Dimensional Taxonomy of Data Visualization: A Proposal From Communication Sciences Tackling Complexity

Cavaller

2021

Front. Res. Metr. Anal.

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“…Others have noted practitioners rarely use conceptual tools which are recommended by academics (Boiling et al, 2017). Greater blame has been assigned to scientists for their lack of accurate and easily understandable communication (Cheng & Rolandi, 2015;Khoury et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Logo Shape and Color as Drivers of Change in Brand Evaluation and Recognition

Torbarina

Čop

Jelenc

2021

Naše Gospodarstvo/Our Economy

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The purpose of the present study was to test whether logo shape and color affect emotional and cognitive response to a new logo. In the explorative part of the study, the effect of the amount of each of the additive primary color on logo perception was examined. Research was done on a sample of 190 students whose ratings were used as logo description measures. Two independent variables used in the study were logo shape (abstract vs. concrete) and logo color (original color vs. greyscale). Results showed that greyscale logos and logos that are concrete were recognized more accurately while liking was not related to either independent variable. It was also observed that the amount of red color in logo is negatively (correlated/related), and blue and green color are positively related to both logo recognition and logo liking. Practitioners are advised to note that factors affecting consumers’ cognition and emotion are different. Scientists can extend findings on the effect of amount of individual colors in a logo. This is one of the first works of research that examined the effect of logo color on brand recognition and has approached studying color in this way of averaging amount of each of the additive primary colors. External validity of the research is enhanced by testing the younger generation in their natural habitat of mobile phone environment.

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2016

Nature Nanotech

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Graphic design for scientists

Cited by 4 publications

References 3 publications

Dimensional Taxonomy of Data Visualization: A Proposal From Communication Sciences Tackling Complexity

Dimensional Taxonomy of Data Visualization: A Proposal From Communication Sciences Tackling Complexity

Logo Shape and Color as Drivers of Change in Brand Evaluation and Recognition

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