- From: Phill Jenkins <pjenkins@us.ibm.com>
- Date: Mon, 7 Dec 2020 17:20:59 -0600
- To: Wayne Dick <wayneedick@gmail.com>
- Cc: W3C WAI ig <w3c-wai-ig@w3.org>
- Message-Id: <OF2F7C34E0.3D4F51E0-ON00258637.007EA159-86258637.008043A4@notes.na.collabserv.c>
Hi Wayne, when you say: "... Maybe what we need is an AI approach. What if we analyze the image of web pages as blocks of content ..." who is the "we" that is analyzing the image? the AI? that is the approach that IBM AI Accessibility research has taken, and filed a few pattens. and when you say: "... While AI might be too slow for live pages it would certainly be useful ...This would eliminate the need for assistive technology to have internal knowledge of the page structure, scripts and style..." Although currently true that AI might be too slow at browser-render-to-user time, its not too slow for designer & developers using AI infused tools. AT might not need as much knowledge of the page structure, but AI and the authoring and repair tools would still need this information to prevent, auto correct, or prompt for designer & developer confirmation. I think a combination of AI infused browser designer/developer tools with coordination by AT is the best approach. Someone always seem to be missing from the table, usually the browser, but often the AT. And until recently, 508 and similar regulations have provisions for the authoring tools, but still none to very little on the browser developers themselves. Remember how long it took before the zoom magnification was built in? ___________ Regards, Phill Jenkins See the new IBM Equal Access toolkit and accessibility checker at www.ibm.com/able pjenkins@us.ibm.com Accessibility Executive IBM Accessibility linkedin.com/in/philljenkins/ www.ibm.com/able twitter.com/IBMAccess ageandability.com From: Wayne Dick <wayneedick@gmail.com> To: W3C WAI ig <w3c-wai-ig@w3.org> Date: 12/07/2020 02:27 PM Subject: [EXTERNAL] Is it time for AI with Accessibility? A new model for personalization I have been an advocate for visual... This Message Is From an External Sender This message came from outside your organization. A new model for personalization I have been an advocate for visual personalization since 2008. I have fought for WCAG criteria that enforce separation of content from presentation in an effort to impose users visual needs on extant web pages. However, so much content is supplied at runtime or in stylesheets, that this effort seems profoundly difficult. Also, the approach opens security holes by requiring internal access to web content. Maybe what we need is an AI approach. What if we analyze the image of web pages as blocks of content that need classification into something like HTML elements. This process may similar to OCR or voice recognition, only the data should be more regular. Consider the application to low vision. This group needs page restructuring (like linerization), color control, spacing, reflow of text, and enlargement that exceeds most rendering algorithms. The difference between OCR and this structure recognition would be that we always have an image of the intended page from the runtime HTML. While AI might be too slow for live pages it would certainly be useful for books and publications. However, if large browsers would get in the game live delivery might be possible. Google, for example, is a leader in deep learning. This would eliminate the need for assistive technology to have internal knowledge of the page structure, scripts and style. We may be at the point where this is possible. I am interested in any research in this direction. Anybody know about anything like this in progress? Best, Wayne Dick
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Received on Monday, 7 December 2020 23:19:39 UTC