The Hubris of Contrast Ratio

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dlyons
Instructure Alumni
Instructure Alumni
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If you spend any time thinking about the accessibility of your content you have probably thought about color contrast. I want to share a little bit on what I've learned about color contrast because it really opened my eyes. (See what I did there?)

When it comes to color contrast some of us probably have these numbers from the WCAG 2.x memorized:

WCAG 2.0 level AA requires a contrast ratio of at least 4.5:1 for normal text and 3:1 for large text. [...] WCAG Level AAA requires a contrast ratio of at least 7:1 for normal text and 4.5:1 for large text.
via WebAIM Contrast Checker

But have you ever thought about where those numbers come from? Well, they come from people, of course! I must admit, I had never questioned where those numbers came from or their fallibility. A picture is worth a thousand words though, so do your best to read the following:

"What do you mean you couldn't read the assignment instructions? The colors pass contrast ratio!""What do you mean you couldn't read the assignment instructions? The colors pass contrast ratio!"

 

As Dan shows, even though the contrast calculation generally works well, and a lot of early blogs used to look like the middle of the PASS column, the currently accepted calculation has some obvious flaws in actual usage. Perceived contrast is tremendously altered by the context it appears in, which the current calculation does not adequately account for.

Like all perceptions it is context sensitive, meaning what is around it and its purpose affects how you see it. Contrast is also substantially affected by "spatial frequency" which essentially means font size and weight, and is closely related to our brain's lightness perception (aka luminance contrast). When it comes to color contrast, as in hue/chroma/saturation, the effect is less relevant to readability. High lightness/darkness contrast is required for fluent readability at best speed and comprehension, especially small body text in columns or blocks.
via Why APCA as a New Contrast Method

The new Advanced Perceptual Contrast Algorithm (APCA) planned to be adopted in WCAG 3.0 aims to address these limitations, as Dan again shows.

ratio-vs-score.png

 

As of this writing, the WCAG 3.0 guidelines are not finalized and could still change dramatically before they are, so nothing is changing in Canvas just yet! So why share this if we're not implementing it in Canvas soon? I share this as a reminder that accessibility and best providing accommodations for those with disabilities is an evolving field.

As a Canvas Product Manager, I strive to build an accessible platform with tools that make creating accessible content easy. As educators, we focus on the individual learner's needs and how we can best provide for them, how ever the guidelines change.

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The content in this blog is over six months old, and the comments are closed. For the most recent product updates and discussions, you're encouraged to explore newer posts from Instructure's Product Managers.

4 Comments
abbyrosensweig
Community Participant

@dlyonsI'm hopeful this blog post means that work is ongoing on getting Icon Maker to not allow low-contrast icons to be made. We are interested in the icon maker feature but haven't turned it on because we are worried about the potential to make low-contrast/inaccessible icons. In any case, thanks for this info and the linked Twitter thread.

dlyons
Instructure Alumni
Instructure Alumni
Author

@abbyrosensweig, we are indeed working on making the color picker experience more informative on accessibility, including in the Icon Maker.

aeagle
Community Explorer

@dlyons we spoke about this about a month ago, and I'm so excited to see updates!

In regard to your example, where are you getting the 4.5:1 ratio for the first image (the light gray on dark gray)? When I ran the same colors using the Web Aim Contrast Checker, I received a result of 3.67:1: 

Screenshot 2022-10-06 121307.png

dlyons
Instructure Alumni
Instructure Alumni
Author

@aeagle, Those look like different colors than the ones used. Here is an example pulled from the non-aliased colors used in the image:

Screenshot 2022-10-06 114922.png

 ref: webAIM