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 on a web page to provide an audible description of the image, the web page having an associated document object model (DOM), the method comprising:
accessing, by a computer system, code associated with the web page;
detecting one or more compliance issues relating to web accessibility standards in the code, 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 pre-existing remediations, wherein the one or more pre-existing remediations comprise:
determining, by the computer system, the subject matter of the untagged image using an image recognition algorithm;
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 the code of the web page, the ARIA label configured to enable an assistive technology speak a message to the a user,
wherein the one or more pre-existing remediations are javascript, and
storing, by the computer system, the ARIA label in a data storage medium for future remediation of the web page.
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 associated with the web page is the DOM or HTML code.
7. The computer-implemented method of claim 1 , wherein the image recognition algorithm is based on using contextual cues.
8. The computer-implemented method of claim 1 , wherein the ARIA label comprises a text description of the untagged image.
9. The computer-implemented method of claim 1 , wherein the untagged image is an image associated with one or more descriptive attributes that is erroneous.
10. The computer-implemented method of claim 1 , wherein the image recognition algorithm is based on an artificial intelligence algorithm.
11. A computer-implemented method of programmatically assigning an accessible rich internet applications (ARIA) label to an image on a web page to provide an audible description of the image, the web page having an associated document object model (DOM), the method comprising:
accessing, by a computer system, code associated with the web page;
detecting one or more compliance issues relating to web accessibility standards in the code, 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 pre-existing remediations, wherein the one or more pre-existing remediations comprise:
locating, by the computer system, within the code associated with the web page the untagged element, the untagged element lacking an adequate descriptive attribute;
assigning, by the computer system, an ARIA label to the untagged element to provide a descriptive attribute to the untagged element, the ARIA label configured to be used for altering the code of the web page to enable the ARIA label to be read to a user using an assistive technology,
wherein the one or more pre-existing remediations are javascript, and
storing, by the computer system, the ARIA label in a data storage medium for future remediation of the web page.
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 associated with the web page is the 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.