Accessibility detection and resolution

• US 10,210,283 B2
• Filed: 09/28/2016
• Issued: 02/19/2019
• Est. Priority Date: 09/28/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Broz, Michal, Clay, Steven D., Sanchez, John C., Schwerdtfeger, Richard S., Seeman, Lisa, Yan, Shunguo
• Primary Examiner(s): Vo, Truong V
• Application Number:
  US15/278,342
• Publication Number:
  US 20180089211A1
• Time in Patent Office: 874 Days
• CPC Class Codes: A61B 5/168 Evaluating attention deficit, hyperactivity
• CPC Class Codes: A61B 5/4088 Diagnosing of monitoring cognitive diseases, e.g. Alzheimer, prion diseases or dementia
• CPC Class Codes: G06F 16/90324 using system suggestions
• CPC Class Codes: G06F 16/907 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]

Abstract

A method for generating and presenting accessibility resolution models to accessibility problems is provided. The method may include detecting user behavior patterns associated with users. The method may further include generating user groups and subgroups based on the detected user behavior patterns. Additionally, the method may include identifying accessibility problems based on the detected user behavior patterns and the generated user groups and subgroups. The method may also include generating accessibility profiles based on the detected user behavior patterns, the generated user groups and subgroups, and the identified accessibility problems. The method may further include determining correlations between the generated accessibility profiles and business loss indicators. The method may also include generating and presenting accessibility resolution models to the identified accessibility problems based on the detected user behavior patterns, the generated user groups and subgroups, and the determined correlations between the generated accessibility profiles and business loss indicators.

Claims

1. A method for generating and presenting a plurality of accessibility resolution models based on a plurality of user behavior patterns, the method comprising:

detecting the plurality of user behavior patterns associated with one or more users;

generating a plurality of user groups and a plurality of user subgroups based on the one or more users and the plurality of user behavior patterns;

identifying a plurality of accessibility problems based on the detected plurality of user behavior patterns, the generated plurality of user groups, and the generated plurality of user subgroups;

generating a plurality of accessibility profiles based on the detected plurality of user behavior patterns, the generated plurality of user groups, the generated plurality of user subgroups, and the identified plurality of accessibility problems;

determining at least one correlation between the generated plurality of accessibility profiles and at least one business loss indicator; and

generating and presenting the plurality of accessibility resolution models for the identified plurality of accessibility problems based on the detected plurality of user behavior patterns, the generated plurality of user groups, the generated plurality of user subgroups, and the determined at least one correlation between the generated plurality of accessibility profiles and the at least one business loss indicator.

2. The method of claim 1, wherein the plurality of user behavior patterns are selected from the group consisting of a plurality of improper application uses of at least one feature associated with at least one application, a plurality of improper device uses associated with at least one device, and a plurality of speech problems.

3. The method of claim 1, wherein generating the plurality of user groups and the plurality of user subgroups further comprises:

identifying and associating a plurality of impairments and disabilities with the one or more users, wherein the plurality of impairments and disabilities are selected from the group consisting of a mild cognitive impairment (MCI), an attention deficit disorder (ADD), an age appropriate forgetfulness, an intellectual disability, a diminished visual memory, and a learning disability.

4. The method of claim 1, wherein the identified plurality of accessibility problems are selected from the group consisting of at least one application problem associated with one or more applications and at least one device problem associated with one or more devices.

5. The method of claim 1, wherein the at least one business loss indicator is selected from the group consisting of a loss of sales and a loss of productivity.

6. The method of claim 3, wherein determining at least one correlation between the generated plurality of accessibility profiles and the at least one business loss indicator further comprises:

determining a plurality of causal connections between the detected plurality of user behavior patterns, the identified and associated plurality of impairments and disabilities, the identified plurality of accessibility problems, the generated plurality of accessibility profiles, and the at least one business loss indicator.

7. The method of claim 1, wherein generating and presenting the plurality of accessibility resolution models further comprises:

generating and presenting at least one diagram and at least one resolution to the identified plurality of accessibility problems.

8. A computer system for generating and presenting a plurality of accessibility resolution models based on a plurality of user behavior patterns, comprising:

one or more processors, one or more computer-readable memories, one or more computer-readable tangible storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising;

detecting the plurality of user behavior patterns associated with one or more users;

generating a plurality of user groups and a plurality of user subgroups based on the one or more users and the plurality of user behavior patterns;

identifying a plurality of accessibility problems based on the detected plurality of user behavior patterns, the generated plurality of user groups, and the generated plurality of user subgroups;

generating a plurality of accessibility profiles based on the detected plurality of user behavior patterns, the generated plurality of user groups, the generated plurality of user subgroups, and the identified plurality of accessibility problems;

determining at least one correlation between the generated plurality of accessibility profiles and at least one business loss indicator; and

generating and presenting the plurality of accessibility resolution models for the identified plurality of accessibility problems based on the detected plurality of user behavior patterns, the generated plurality of user groups, the generated plurality of user subgroups, and the determined at least one correlation between the generated plurality of accessibility profiles and the at least one business loss indicator.

9. The computer system of claim 8, wherein the plurality of user behavior patterns are selected from the group consisting of a plurality of improper application uses of at least one feature associated with at least one application, a plurality of improper device uses associated with at least one device, and a plurality of speech problems.

10. The computer system of claim 8, wherein generating the plurality of user groups and the plurality of user subgroups further comprises:

identifying and associating a plurality of impairments and disabilities with the one or more users, wherein the plurality of impairments and disabilities are selected from the group consisting of a mild cognitive impairment (MCI), an attention deficit disorder (ADD), an age appropriate forgetfulness, an intellectual disability, a diminished visual memory, and a learning disability.

11. The computer system of claim 8, wherein the identified plurality of accessibility problems are selected from the group consisting of at least one application problem associated with one or more applications and at least one device problem associated with one or more devices.

12. The computer system of claim 8, wherein the at least one business loss indicator is selected from the group consisting of a loss of sales and a loss of productivity.

13. The computer system of claim 10, wherein determining at least one correlation between the generated plurality of accessibility profiles and the at least one business loss indicator further comprises:

determining a plurality of causal connections between the detected plurality of user behavior patterns, the identified and associated plurality of impairments and disabilities, the identified plurality of accessibility problems, the generated plurality of accessibility profiles, and the at least one business loss indicator.

14. The computer system of claim 8, wherein generating and presenting the plurality of accessibility resolution models further comprises:

generating and presenting at least one diagram and at least one resolution to the identified plurality of accessibility problems.

15. A computer program product for generating and presenting a plurality of accessibility resolution models based on a plurality of user behavior patterns, comprising:

one or more computer-readable storage devices and program instructions stored on at least one of the one or more tangible storage devices, the program instructions executable by a processor, the program instructions comprising;

program instructions to detect the plurality of user behavior patterns associated with one or more users;

program instructions to generate a plurality of user groups and a plurality of user subgroups based on the one or more users and the plurality of user behavior patterns;

program instructions to identify a plurality of accessibility problems based on the detected plurality of user behavior patterns, the generated plurality of user groups, and the generated plurality of user subgroups;

program instructions to generate a plurality of accessibility profiles based on the detected plurality of user behavior patterns, the generated plurality of user groups, the generated plurality of user subgroups, and the identified plurality of accessibility problems;

program instructions to determine at least one correlation between the generated plurality of accessibility profiles and at least one business loss indicator; and

program instructions to generate and present the plurality of accessibility resolution models for the identified plurality of accessibility problems based on the detected plurality of user behavior patterns, the generated plurality of user groups, the generated plurality of user subgroups, and the determined at least one correlation between the generated plurality of accessibility profiles and the at least one business loss indicator.

16. The computer program product of claim 15, wherein the plurality of user behavior patterns are selected from the group consisting of a plurality of improper application uses of at least one feature associated with at least one application, a plurality of improper device uses associated with at least one device, and a plurality of speech problems.

17. The computer program product of claim 15, wherein the program instructions to generate the plurality of user groups and the plurality of user subgroups further comprises:

program instructions to identify and associate a plurality of impairments and disabilities with the one or more users, wherein the plurality of impairments and disabilities are selected from the group consisting of a mild cognitive impairment (MCI), an attention deficit disorder (ADD), an age appropriate forgetfulness, an intellectual disability, a diminished visual memory, and a learning disability.

18. The computer program product of claim 15, wherein the at least one business loss indicator is selected from the group consisting of a loss of sales and a loss of productivity.

19. The computer program product of claim 17, wherein the program instructions to determine at least one correlation between the generated plurality of accessibility profiles and the at least one business loss indicator further comprises:

program instructions to determine a plurality of causal connections between the detected plurality of user behavior patterns, the identified and associated plurality of impairments and disabilities, the identified plurality of accessibility problems, the generated plurality of accessibility profiles, and the at least one business loss indicator.

20. The computer program product of claim 15, wherein the program instructions to generate and present the plurality of accessibility resolution models further comprises:

program instructions to generate and present at least one diagram and at least one resolution to the identified plurality of accessibility problems.