From:  Asa Dotzler <asa@mozilla.com>
Date:  24 Jul 2019 02:55:33 Hong Kong Time
Newsgroup:  news.mozilla.org/mozilla.accessibility
Subject:  

machine learning for accessibility

NNTP-Posting-Host:  63.245.210.105

Many web sites are inaccessible because they use custom page elements that
lack the accessibility of browser-native ones. You have probably run across
this in your surfing: a page that uses divs and JavaScript to create a
checkbox, for example. Mozilla wants to improve this by identifying
inaccessible custom elements in the Firefox developer tools and helping web
authors use standard ones—or helping them add the right ARIA roles to make
their custom elements accessible.

But identifying inaccessible custom elements is a challenge. The approach
we're investigating is to use machine learning, which requires many
examples. We would greatly appreciate your help in finding them, via this
survey

https://docs.google.com/forms/d/e/1FAIpQLSfkZ_Hq4UKUtJDynbaZsSdfZEDx3Un9Z7M-MBN4ofy7vOvhlQ/viewform

Thank you,
Asa Dotzler