Tools for the selection of colour palettes

Moretti, Giovanni; Lyons, Paul

doi:10.1145/2181216.2181219

Cited by 17 publications

(10 citation statements)

References 6 publications

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“…Furthermore, the use of an accessibility tool fits within the first stage of a three-stage methodology developed by Greeff and Kotzé [2009] to make a website more accessible. Previous research has identified the need to update colour palette or selection tools to fit within the workflow style of a variety of different designers [Moretti and Lyons 2002;Meier et al 2004;Jalal et al 2015]; however, the solutions that have been suggested do not include features to allow designers to consider people with visual impairments such as CVD. Lazar et al [2004] suggested that contemporary web accessibility tools were inadequate and guidelines difficult to interpret.…”

Section: Current Online Toolsmentioning

confidence: 99%

Ace

Tigwell

Flatla

Archibald

2017

ACM Trans. Access. Comput.

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Colour can convey a mood or elicit a particular emotion and, in terms of web design, colour can influence attitudes, perceptions, and behaviours. However, many websites demonstrate inaccessible colour choices. Numerous online colour palette design tools only focus on assisting designers with either the aesthetics or accessibility of colours. With a user-centered design approach, we developed the Accessible Colour Evaluator (ACE, daprlab.com/ace) which enhances web developers' and designers' ability to balance aesthetic and accessibility constraints. We distributed an online questionnaire to 28 web developers and designers to understand their attitudes and utilisation of accessibility guidelines, as well as to gather initial design requirements for ACE. With this information, we created three low-fidelity paper prototypes that were used to create two high-fidelity prototypes. The high-fidelity prototypes were discussed with 4 web developers and designers during a design workshop, and their feedback was used to develop the final version of ACE. A comparative evaluation of ACE and three existing alternative tools was conducted with 10 new web developers and designers. All participants were able to complete a colour palette design task when using ACE and identified ACE as their most preferred tool. The mean scores for the six TLX measures show ACE as providing the best performance and causing the lowest frustration. Finally, we conducted a small focus group with 3 web developers and designers to gather qualitative feedback about ACE. Participants identified a number of ACE's strengths and made suggestions for future extensions and improvements. CCS Concepts: r Human-centered computing → Accessibility systems and tools;

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Section: Current Online Toolsmentioning

confidence: 99%

Ace

Tigwell

Flatla

Archibald

2017

ACM Trans. Access. Comput.

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“…In a perceptually based color space, this corresponds to selecting colors by traversing paths through this space along its dimensions. This approach is implemented in many color picker tools (Moretti and Lyons 2002;Meier et al 2004), however, these are typically based on the HSV model. As argued above, the dimensions in HSV space are not truly independent and hence it is not possible to vary just one perceptual property while keeping the others fixed.…”

Section: Escaping Rgbland: Selecting Colors For Statistical Graphicsmentioning

confidence: 99%

Escaping RGBland: Selecting colors for statistical graphics

Zeileis

Hornik

Murrell

2009

Computational Statistics & Data Analysis

176

122

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“…The implementation in the standard packages of the R system for statistical computing and graphics (R Development Core Team 2006) employs colors from HSV space. Both spaces are rather similar transformations of RGB (Red-Green-Blue) space (Brewer 1999;Poynton 2000) and are very common implementations of colors in many computer packages (Moretti and Lyons 2002) making the generation of the Friendly shading very simple. As both spaces can easily generate the same colors, we only discuss HSV space in the following.…”

Section: Colorsmentioning

confidence: 99%

Residual-Based Shadings for Visualizing (Conditional) Independence

Zeileis

Meyer²,

Hornik³

2007

Journal of Computational and Graphical Statistics

221

106

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Residual-based shadings for enhancing mosaic and association plots to visualize independence models for contingency tables are extended in two directions: (a) perceptually uniform Hue-Chroma-Luminance (HCL) colors are used and (b) the result of an associated significance test is coded by the appearance of color in the visualization. For obtaining (a), a general strategy for deriving diverging palettes in the perceptually-based HCL space is suggested. As for (b), cut offs that control the appearance of color are computed in a data-driven way based on the conditional permutation distribution of maximum-type test statistics. The shadings are first established for the case of independence in 2-way tables and then extended to more general independence models for multi-way tables, including in particular conditional independence models.

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Tools for the selection of colour palettes

Cited by 17 publications

References 6 publications

Ace

Ace

Escaping RGBland: Selecting colors for statistical graphics

Residual-Based Shadings for Visualizing (Conditional) Independence

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