Modular systems and methods for selectively enabling cloud-based assistive technologies
Systems and methods are disclosed for manually and programmatically remediating websites to thereby facilitate website navigation by people with diverse abilities. For example, an administrator portal is provided for simplified, form-based creation and deployment of remediation code, and a machine learning system is utilized to create and suggest remediations based on past remediation history. Voice command systems and portable document format (PDF) remediation techniques are also provided for improving the accessibility of such websites.
1. A computer-implemented method of programmatically assigning an accessible rich internet applications (ARIA) label to an image, the method comprising:
detecting one or more compliance issues associated with a web page, wherein at least one of the one or more compliance issues comprises an untagged image; and
mapping the one or more compliance issues to one or more remediations, wherein the one or more remediations comprise:
determining, by a computer system, a subject matter of the untagged image;
assigning, by the computer system, an ARIA label to the untagged image based on the determined subject matter of the untagged image, the ARIA label configured to be used for altering code of the web page,
wherein the one or more remediations comprise JavaScript, and
storing, by the computer system, the ARIA label in a storage medium.
2. The computer-implemented method of claim 1 , wherein the computer-implemented method is performed on a periodic basis.
3. The computer-implemented method of claim 1 , wherein the computer system comprises one or more computing systems.
4. The computer-implemented method of claim 1 , wherein the image recognition algorithm operates on a remote computing system.
5. The computer-implemented method of claim 1 , wherein the untagged image is a video.
6. The computer-implemented method of claim 1 , wherein the code is a document object model (DOM) or HTML code.
7. The computer-implemented method of claim 1 , wherein determining the subject matter of the untagged image comprises an image recognition algorithm.
8. The computer-implemented method of claim 7 , wherein the image recognition algorithm is based on an artificial intelligence algorithm.
9. The computer-implemented method of claim 1 , wherein the ARIA label comprises a text description of the untagged image.
10. The computer-implemented method of claim 1 , wherein the untagged image is an image associated with one or more descriptive attributes that are erroneous.
11. A computer-implemented method of programmatically assigning an accessible rich internet applications (ARIA) label to an image, the method comprising:
detecting one or more compliance issues on a web page, wherein at least one of the one or more compliance issues comprises an untagged element; and
applying to the one or more compliance issues one or more remediations, wherein the one or more pre-existing remediations comprise:
locating, by a computer system, within code associated with the web page the untagged element, the untagged element;
assigning, by the computer system, an ARIA label to the untagged element, the ARIA label configured to be used for altering the code of the web page,
wherein the one or more remediations are JavaScript, and
storing, by the computer system, the ARIA label in a storage medium.
12. The computer-implemented method of claim 11 , wherein the untagged element comprises an input field.
13. The computer-implemented method of claim 11 , wherein the untagged element comprises a title element.
14. The computer-implemented method of claim 11 , wherein the untagged element comprises an untagged image.
15. The computer-implemented method of claim 11 , wherein the untagged element is lacking the adequate descriptive attribute when said element is associated with an erroneous tag.
16. The computer-implemented method of claim 11 , wherein the ARIA label comprises a text description of the untagged image.
17. The computer-implemented method of claim 11 , wherein the code is a document object model (DOM) or HTML code.
18. The computer-implemented method of claim 11 , wherein the computer system comprises one or more computing systems.
19. The computer-implemented method of claim 11 , wherein the ARIA label is generated in part by using an artificial intelligence algorithm operating on a remote server.
20. The computer-implemented method of claim 11 , wherein the computer-implemented method is performed on a periodic basis.