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 a descriptive attribute to an untagged element on a web page to enable an audible description of the untagged element, the web page having an associated document object model (DOM), the computer-implemented method comprising:
accessing, by a computer system, a code associated with the web page;
identifying, by the computer system, a set of compliance issues relating to web accessibility standards in the code, wherein the set of compliance issues are associated with an untagged set of elements on the web page;
generating, by the computer system applying a machine learning algorithm, one or more remediation code that are applicable to remediate a compliance issue of the set of compliance issues, wherein the machine learning algorithm is configured to:
compare the compliance issue with previously resolved issues to identify a previously resolved issue;
identify a remediation code from a remediation data storage medium, wherein the remediation code was applied to the previously resolved issue; and
modify the remediation code based on the compliance issue;
storing the generated one or more remediation code in the remediation data storage medium;
retrieving the generated one or more remediation code from the remediation data storage medium; and
transmitting the generated one or more remediation code through an electronic network to a user computer, the user computer configured to execute the generated one or more remediation code to remediate the compliance issue in the web page being accessed by the user computer,
wherein the remediating the compliance issue in the web page being accessed by the user computer adds supplemental code to a local copy of the code associated with the web page, causing the remediation to take effect at or before the time the web page has finished rendering on the user computer.
2. The computer-implemented method of claim 1 , wherein execution of at least one of the generated one or more remediation code causes an assignment of a descriptive attribute to an untagged element on the web page.
3. The computer-implemented method of claim 2 , wherein the assignment comprises changing HTML code or the DOM associated with the web page.
4. The computer-implemented method of claim 1 , wherein the one or more remediation code is javascript.
5. The computer-implemented method of claim 1 , wherein the code associated with the web page is the DOM and/or HTML code.
6. The computer-implemented method of claim 1 , wherein the computer system comprises one or more computer systems connected is an electronic network.
7. The computer-implemented method of claim 1 , wherein identifying the set of compliance issues is performed using a scanning and detection system.
8. The computer-implemented method of claim 1 , wherein the machine learning algorithm is associated with a heuristics engine, and wherein the heuristics engine is used to identify the remediation code from the remediation data storage medium.
9. The computer-implemented method of claim 1 , wherein the machine learning algorithm is further configured to determine a confidence level associated with the generated one or more remediation code.
10. The computer-implemented method of claim 1 , wherein the machine learning algorithm compares the compliance issue with previously resolved issues based on an unsupervised learning technique.
11. The computer-implemented method of claim 1 , wherein the machine learning algorithm performs classification to compare the compliance issue with previously resolved issues.
12. The computer-implemented method of claim 1 , further comprising:
determining a confidence level associated with each of the one or more remediation code; and
automatically applying the one or more remediation code if the confidence level associated with each of the one or more remediation code is over a predetermined threshold.
13. A computer-implemented method of programmatically assigning a descriptive attribute to an untagged dement on a web page to enable an audible description of the element, the web page having an associated document object model (DOM), the computer-implemented method comprising:
accessing, by a computer system, a code associated with the web page;
identifying, by the computer system, a set of compliance issues relating to web accessibility standards in the code, wherein the set of compliance issues are associated an untagged set of elements on the web page;
suggesting, by the computer system applying a machine learning algorithm, a remediation code that is applicable to remediate a compliance issue of the set of compliance issues, wherein the machine learning algorithm is configured to:
compare the compliance issue with previously resolved issues to identify a previously resolved issue; and
identify the remediation code from a remediation data storage medium, wherein the remediation code was applied to the previously resolved issue; and
storing the suggested remediation code in the remediation data storage medium;
retrieving the suggested one or more remediation code from the remediation data storage medium; and
transmitting the suggested one or more remediation code through an electronic network to a user computer, the user computer configured to execute the generated one or more remediation code to remediate the compliance issue in the web page being accessed by the user computer,
wherein the remediating the compliance issue in the web page being accessed by the user computer adds supplemental code to a local copy of the code associated with the web page, causing the remediation to take effect at or before the time the web page has finished rendering on the user computer.
14. The computer-implemented method of claim 13 , wherein execution of the remediation code causes an assignment of a descriptive attribute to an untagged element on the web page.
15. The computer-implemented method of claim 14 , wherein the assignment comprises changing HTML code or the DOM associated with the web page.
16. The computer-implemented method of claim 13 , wherein the remediation code is javascript.
17. The computer-implemented method of claim 13 , wherein the code associated with the web page is the DOM and/or HTML code.
18. The computer-implemented method of claim 13 , wherein the computer system comprises one or more computer systems connected via an electronic network.
19. The computer-implemented method of claim 13 , wherein identifying the set of compliance issues is performed using a scanning and detection system.
20. The computer-implemented method of claim 13 , wherein the machine learning algorithm is associated with a heuristics engine, and wherein the heuristics engine is used to identify the remediation code from the remediation data storage medium.