- From: David MacDonald <david100@sympatico.ca>
- Date: Mon, 21 Aug 2017 10:29:57 -0400
- To: Sailesh Panchang <sailesh.panchang@deque.com>
- Cc: Alastair Campbell <acampbell@nomensa.com>, WCAG <w3c-wai-gl@w3.org>
- Message-ID: <CAAdDpDYm0LQiuPmwuUirHBnETuTDg35j56pxH+EPbXe2HLvVdA@mail.gmail.com>
That, makes sense... Cheers, David MacDonald *Can**Adapt* *Solutions Inc.* Tel: 613.235.4902 LinkedIn <http://www.linkedin.com/in/davidmacdonald100> twitter.com/davidmacd GitHub <https://github.com/DavidMacDonald> www.Can-Adapt.com <http://www.can-adapt.com/> * Adapting the web to all users* * Including those with disabilities* If you are not the intended recipient, please review our privacy policy <http://www.davidmacd.com/disclaimer.html> On Mon, Aug 21, 2017 at 9:58 AM, Sailesh Panchang < sailesh.panchang@deque.com> wrote: > David, > I believe something like this should go into the Understanding doc. > Yes there is an algorithm that helps one to assess more objectively > and come up with an UI that is accessible mostly but one should not > forget that WCAG 2.0 says in the first para under introduction, > "...they (i.e. the Guidelines) are not able to address the needs of > people with all types, degrees, and combinations of disability". > > So maybe there could be a cautionary note or something noted as a > limitation at best with an example or two culled from the emails here > or other sources. > > Thanks and best wishes, > > > On 8/21/17, David MacDonald <david100@sympatico.ca> wrote: > > OK, I'm fine with that. > > > > I think it's important that we are having this discussion on list so that > > we have documentation and a paper trail in response to those who may > > criticize our 20 year old algorithm, and may be upset that we don't have > an > > updated algorithm for 2.1. Here's a summary of what I see: > > > > * The algorithm was a real win for us in WCAG 2.0 because it gave us a > > mathematical measurement, rather than WCAG 1.0 which was fuzzy: > > "2.2 Ensure that foreground and background color combinations > > provide sufficient contrast when viewed by someone having color deficits > or > > when viewed on a black and white screen. [Priority 2 for images, > Priority 3 > > for text]." > > > > * There has never been, to our knowledge, another algorithm which has > > superseded this one. > > * The ugly combinations that pass WCAG that people complain about (i.e., > > black on dark orange) I've never seen as I've done WCAG 2 evaluations > over > > the last 8 years. > > * When a new algorithm becomes available we are certainly open to vetting > > it and incorporating it in a future version. > > > > > > Does that sound right? > > > > > > Cheers, > > David MacDonald > > > > > > > > *Can**Adapt* *Solutions Inc.* > > > > Tel: 613.235.4902 > > > > LinkedIn > > <http://www.linkedin.com/in/davidmacdonald100> > > > > twitter.com/davidmacd > > > > GitHub <https://github.com/DavidMacDonald> > > > > www.Can-Adapt.com <http://www.can-adapt.com/> > > > > > > > > * Adapting the web to all users* > > * Including those with disabilities* > > > > If you are not the intended recipient, please review our privacy policy > > <http://www.davidmacd.com/disclaimer.html> > > > > On Mon, Aug 21, 2017 at 4:25 AM, Alastair Campbell < > acampbell@nomensa.com> > > wrote: > > > >> Hi David, > >> > >> > >> > >> I think we would be in very dangerous territory if we try and patch the > >> algorithm without a lot more data. > >> > >> > >> > >> Just anecdotally from testing, I’ve seen at least two groups (which > >> probably have sub-groups) who’s perception of contrast differs from > mine: > >> low-vision and older-people. > >> > >> > >> > >> Strong colours to my vision were muted or invisible to them, and in > >> one-case the other way around. For example, a colleague with red/green > >> colour blindness can read dark-blue on black easily where I can barely > >> tell > >> there is text there. > >> > >> > >> > >> As people (Jared, Amelia I think?) mentioned, there are differences in > >> perception due to hue, but unless we’ve got research around the whole > >> colour gamut for lots of different ‘vision’ types, I don’t think we > >> should > >> try patching the algorithm. > >> > >> > >> > >> The advantage of the hue-less algorithm is that it ‘works’ regardless of > >> hue perception. Not perfectly, but to some degree that makes an > >> improvement > >> in general across groups. > >> > >> > >> > >> Cheers, > >> > >> > >> > >> -Alastair > >> > >> > >> > >> > >> > >> *From: *David MacDonald > >> > >> > >> > >> Could be... > >> > >> > >> > >> for a 2.1 we're probably not going to solve it all, unless we're super > >> lucky... I'm thinking about a minor tweak from what we know now that > >> would > >> have broad appeal and plug significant holes. > >> > >> > >> > >> So if there's a simple amendment in a colour space, that would be > >> awesome... I'll be interested in Jared's suggestions. > >> > >> > >> Cheers, > >> David MacDonald > >> > >> > >> > >> *Can**Adapt* *Solutions Inc.* > >> > >> Tel: 613.235.4902 <(613)%20235-4902> > >> > >> LinkedIn > >> <http://www.linkedin.com/in/davidmacdonald100> > >> > >> twitter.com/davidmacd > >> > >> GitHub <https://github.com/DavidMacDonald> > >> > >> www.Can-Adapt.com <http://www.can-adapt.com/> > >> > >> > >> > >> * Adapting the web to all users* > >> > >> * Including those with disabilities* > >> > >> > >> > >> If you are not the intended recipient, please review our privacy policy > >> <http://www.davidmacd.com/disclaimer.html> > >> > >> > >> > >> On Sun, Aug 20, 2017 at 1:10 PM, Patrick H. Lauke > >> <redux@splintered.co.uk> > >> wrote: > >> > >> On 20/08/2017 11:41, David MacDonald wrote: > >> > >> There recently was a Twitter discussion about colour contrast > >> combinations. > >> > >> https://twitter.com/davidmacd/status/899215930445754368 > >> > >> There seems to be consensus from stakeholders that when black #000000 is > >> contrasted against some colours, the 4.5 threshold is met even when it's > >> hard to see. I've noticed this for years, and it seems others have too, > >> but > >> the Twitter discussion got me thinking about it again. > >> > >> Black against #777777 passes, and black against dark orange passes, but > >> to > >> the eye, white #FFFFFF which fails, seems much more readable against > this > >> grey or against this orange. > >> > >> There is something about black #000000 which needs a little tweak in the > >> algorithm. > >> > >> Perhaps when black is against colour spectrum X, it requires a higher > >> contrast minimum? > >> > >> > >> Are you sure it's literally *just* full #000000 black? What about > >> #000001? > >> My point being that it's perhaps not just about that one particular > >> color, > >> but more about a particular part of the spectrum / the color space used? > >> > >> P > >> -- > >> Patrick H. Lauke > >> > >> www.splintered.co.uk | https://github.com/patrickhlauke > >> http://flickr.com/photos/redux/ | http://redux.deviantart.com > >> twitter: @patrick_h_lauke | skype: patrick_h_lauke > >> > >> > >> > > > > > -- > Sailesh Panchang > Principal Accessibility Consultant > Deque Systems Inc > Phone 703-225-0380 ext 105 > Mobile: 571-344-1765 >
Received on Monday, 21 August 2017 14:30:22 UTC