Accessibility detection and resolution

• US 10,606,896 B2
• Filed: 11/15/2017
• Issued: 03/31/2020
• 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:
  US15/813,185
• Publication Number:
  US 20180089214A1
• Time in Patent Office: 867 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 computer system for generating and presenting a plurality of accessibility resolution models to one or more accessibility problems associated with a computer device and an application 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 based on user behavior on a computer device and an application associated with the computer device;

generating a plurality of user groups and a plurality of user subgroups based on one or more users and the plurality of user behavior patterns, wherein generating the plurality of user groups and the plurality of user subgroups comprises identifying and associating a plurality of impairments and disabilities with the one or more users;

identifying a plurality of accessibility problems with the computer device and the application based on the detected plurality of user behavior patterns, the generated plurality of user groups, and the generated plurality of user subgroups, wherein the identified plurality of accessibility problems are selected from a group comprising at least one application problem associated with the application and at least one device problem associated with the computer device based on usability of the computer device and the application;

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, wherein determining at least one correlation comprises determining a plurality of causal connections between the at least one business loss indicator and the identified plurality of accessibility problems on the computer device and the application that are associated with each of the generated plurality of accessibility profiles; and

generating and presenting the plurality of accessibility resolution models for the computer device and the application based on the identified plurality of accessibility problems, 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.