[Webkit-unassigned] [Bug 239295] New: AX: UsableNet re: inconsistency in hidden contents behind aria-modal dialogs
bugzilla-daemon at webkit.org
bugzilla-daemon at webkit.org
Wed Apr 13 12:20:12 PDT 2022
https://bugs.webkit.org/show_bug.cgi?id=239295
Bug ID: 239295
Summary: AX: UsableNet re: inconsistency in hidden contents
behind aria-modal dialogs
Product: WebKit
Version: WebKit Nightly Build
Hardware: All
OS: All
Status: NEW
Severity: Normal
Priority: P2
Component: Accessibility
Assignee: webkit-unassigned at lists.webkit.org
Reporter: jcraig at apple.com
CC: andresg_22 at apple.com,
webkit-bug-importer at group.apple.com
Bug report from from UsableNet re: inconsistency in hidden contents behind aria-modal dialogs.
Platform not specified, presuming a recent Mac release.
Quoting:
> Previously, VO with Safari "trapped" the user into the element with aria-modal="true" as expected. Today, VO with Safari is behaving inconsistently across multiple websites. This behaviour is happening in particular with elements injected in the DOM after page load.
>
> For example, trying to navigate the modal example provided by the aria practices (https://www.w3.org/TR/wai-aria-practices-1.2/examples/dialog-modal/dialog.html) VO is still able to navigate the inert content available in the background (content provided outside the element with aria-modal="true").
It wasn't clear from the bug report if he was navigating by FKA Nav (Tab) or VO Nav (e.g. VO+Right).
Report used the term "inert" which isn't the same as "hidden" contents behind an aria-modal dialog. True "inertness" can only be achieved with inert="" and/or the dialog API, not aria-modal or aria-hidden. The difference is only relevant to mention here because if full keyboard access tabbing results in focus of hidden content (if focused, by definition it is not inert) then the modal or hidden state should be ignored and the focused element should be exposed to accessibility. That's not true for actual inert content, which should never achieve focus.
The linked example is not a good one because it uses some mediocre focus trapping. The focus trapping doesn't really work, and the added complexity makes it a little harder to diagnose. I'm going to work on reducing a test case before further clarification.
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