Using color in visualization: A survey

Silva, Samuel; Santos, Beatriz Sousa; Madeira, Joaquim

doi:10.1016/j.cag.2010.11.015

Cited by 174 publications

(107 citation statements)

References 37 publications

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“…Another shortcoming refers to the still considerable popularity of the RBS scale, although there are well-known problems associated with it (Silva et al, 2011): First, to some users it might not present an intuitive ordering. Second, yellow is present half way through the color scale, which means that if one is interested in depicting extreme values the middle values might interfere, since yellow has a highlighting effect being perceived as brighter than the other colors.…”

Section: Include Figurementioning

confidence: 99%

“…Rapid automatic processing of color interferes with other senses and biases the hedonic aspect of a perceptual experience (Österbauer et al, 2005), the cognitive evaluation of sentences (Reber and Schwarz, 1999), or the trustfulness of data (Skarlatidou et al, 2011). Based on such findings, visualization research has established guidelines to select appropriate colors and color scales for data display and to adjust the associated color maps for particular applications (Silva et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…Third, even when taking for granted that colorcoding does improve the way we access scientific data, the issue of standardizing perception poses major challenges. These include a raft of implicit assumptions about objectivity, the nature of the observer, the role of instruments, and the trade-offs between standardization and descriptive power (Johnston, 2002), but also involve very practical issues, such as the use of numerical scales in univariate representations of data using colors (Silva et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Colorful brains: 14years of display practice in functional neuroimaging

Christen¹,

Vitacco²,

Huber³

et al. 2013

NeuroImage

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Section: Include Figurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Colorful brains: 14years of display practice in functional neuroimaging

Christen¹,

Vitacco²,

Huber³

et al. 2013

NeuroImage

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“…Por exemplo, pode-se utilizar diferentes paletas de cores para destacar os padrões locais nos escalogramas e diagramas de fase. Istoé, essas paletas são responsáveis por dar destaque ou não a certas características das visualizações, dado o seu efeito na própria percepção humana [45][46][47]. Algumas paletas podem ser apresentadas em uma distribuição linear e outras em logaritmo, essaúltimaé a que mais se assemelha a percepção humana, ou, ainda, facilitar a identificação de certas bandas de cores para pessoas com síndromes de deficiência de percepção de cores, como discutido em [48].…”

Section: B Paletas De Coresunclassified

Explorando a transformada wavelet contínua

Domingues

Mendes

Kaibara

et al. 2016

Rev. Bras. Ensino Fís.

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A transformada wavelet contínua constitui poderosa ferramenta para análise multiescala de dados. Ela tem amplas aplicações na Física, na Matemática, nas Ciências Naturais e, inclusive, grande apelo nas engenharias, computação eáreas de tecnologia e inovação. Do ponto de vista introdutório, a transformada wavelet tem sido abordada amplamente em trabalhos anteriores. Assim, esta apresentação dáênfase ao uso dessa técnica em situações teóricas e práticas que normalmente não são exploradas; porém fundamentais para um uso mais adequado, ou mesmo correto, dessa ferramenta. Um embasamento consistente possibilita, sobretudo, uma extensão de sua aplicação para novas pesquisas, facilitadas pela disponibilidade de programas e ferramentas gratuitas e, até, várias dessas sob a forma de recursos de livre distribuição (free softwares). Por critério de escolha dos autores, apresentam-se, neste artigo, conceitos e exemplos de técnicas que podem ser de grande interesse para vários tipos de estudos na Física e em outrasáreas correlatas. Este texto destina-se a pesquisadores, professores e estudantes de pós-graduação, com a possibilidade de atender ainda necessidades de estudantes dosúltimos anos de graduação. Palavras-chave: wavelet, sinais multiescala, análise de sinais.The continuous wavelet transform is a powerful tool for multiscale data analysis. It has wide applications in physics, mathematics, natural sciences and even great appeal in engineering, computing and areas of technology and innovation. As an introductory point of view, the wavelet transform has been widely addressed in previous works. Thus, this presentation emphasizes the use of this technique in theoretical and practical situations that are not usually explored, but situations that are fundamental to a better use, or even a correct use, of this tool. Consistent bases enable mainly extensions of wavelet application to new investigations, that are facilitated by the availability of free programs and tools, and even several of these in completely available distribution of resources (free softwares). The content of this article, by the authors' choice criteria, presents concepts and examples of techniques that can be of great interest for various studies in physics and other related areas. This text is aimed at researchers, teachers and graduate students, with the possibility of still meet the preparation needs of students at last undergraduation stage. Keywords: wavelet, multiscale signals, signal analysis. IntroduçãoA teoria wavelet causou um frenesi na comunidade científica nasúltimas décadas e gerou um fenômeno de interesse, na pesquisa e na aplicação, com crescimento exponencial, gerando dezenas de milhares * Endereço de correspondência: margarete.domingues@inpe.br.de publicações, patentes e prêmios internacionais associados [8]. O leitor e sua família já participam e conhecem os efeitos desse fenômeno, tanto ao utilizar as imagens jpeg de um celular que podem ser enviadas por internet, quanto ao assistir os filmes de animação 3D, ou mesmo a ter seus dados bio...

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“…The perceptual and cognitive effects of colour have been studied for over 100 years. For more information we refer the reader to [17] that provides an excellent recent survey on the use of colour in visualizations and an overview of colour theory. It is notable that [17] has no human studies examples on the effectiveness of various colouring strategies from the field of abstract diagrams using graphs or set diagrams.…”

Section: Related Workmentioning

confidence: 99%

Exploring the Effects of Colouring Graph Diagrams on People of Various Backgrounds

Plimmer

Morrison

Knoche

2014

Diagrammatic Representation and Inference

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Abstract. Colour is one of the primary aesthetic elements of a visualization. It is often used successfully to encode information such as the importance of a particular part of the diagram or the relationship between two parts. Even so, there are few investigations into the human reading of colour coding on diagrams from the scientific community. In this paper we report on an experiment with graph diagrams comparing a black and white composition with two other colour treatments. We drew our subjects from engineering, art, visual design, physical education, tourism, psychology and social science disciplines. We found that colouring the nodes of interest reduced the time taken to find the shortest path between the two nodes for all subjects. Engineers, tourism and social scientists proved significantly faster with artist/designers just below the overall average speed. From this study, we contribute that adding particular colour treatments to diagrams increases legibility. In addition, preliminary work investigating colour treatments and schemes indicates potential for future gains.

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Using color in visualization: A survey

Cited by 174 publications

References 37 publications

Colorful brains: 14years of display practice in functional neuroimaging

Colorful brains: 14years of display practice in functional neuroimaging

Explorando a transformada wavelet contínua

Exploring the Effects of Colouring Graph Diagrams on People of Various Backgrounds

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