An implementation of the AT Driver remote end designed to work with screen readers on macOS.
aria-at-automation · aria-at-automation-harness · aria-at-automation-driver · aria-at-automation-results-viewer
- macOS version 13 ("Ventura") or later
- Node.js version 18 or later
-
Run the
install
sub-command in a terminal:at-driver install
If prompted for system administration permission, grant permission.
-
Start the server by executing the
serve
sub-command in a terminal:at-driver serve
The process will write a message to the standard error stream when the WebSocket server is listening for connections. The
--help
flag will cause the command to output advanced usage instructions (e.g.at-driver --help
). -
Configure any screen reader to use the text-to-speech voice named "Bocoup Automation Voice."
-
Use any WebSocket client to connect to the server. The protocol is described below. (The server will print protocol messages to its standard error stream for diagnostic purposes only. Neither the format nor the availability of this output is guaranteed, making it inappropriate for external use.)
The WebSocket server is written in Node.js and allows an arbitrary number of clients to observe events on a standard interface. It has been designed as an approximation of an interface that may be exposed directly by screen readers in the future.
For details on contributing to this project, please refer to the file named
CONTRIBUTING.md
.
Licensed under the terms of the MIT Expat License; the complete text is available in the LICENSE file.
A collection of projects for automating assistive technology tests from w3c/aria-at and beyond
aria-at-automation-harness
A command-line utility for executing test plans from w3c/aria-at without human intervention using the aria-at-automation-driver
aria-at-automation-driver
A WebSocket server which allows clients to observe the text enunciated by a screen reader and to simulate user input
aria-at-automation-results-viewer
A tool which translates the JSON-formatted data produced by the aria-at-automation-harness into a human-readable form