Accessibility Detection System Using Behavioral Segmentation
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Solution Overview
Problem
Current usability testing techniques fail to account for cognitive disabilities and impairments in users, leading to inaccessible user interfaces and applications that do not meet the diverse needs of all users, resulting in decreased sales and business losses, especially for senior citizens.
Innovation Solution
A method and system that detect user behavior patterns, generate user groups and subgroups, identify accessibility problems, and create accessibility profiles to determine correlations with business loss indicators, ultimately generating and presenting accessibility resolution models to address these issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional usability testing techniques are used, then general user interface evaluation is possible, but cognitive disabilities and impairments in users are not accounted for
Solution Approach 1:
The patent segments users into different groups and subgroups based on their behavior patterns, cognitive abilities, and interaction characteristics. This segmentation allows the system to tailor accessibility evaluations to specific user populations, particularly those with cognitive disabilities, without requiring a completely new testing framework.
Solution Approach 2:
The patent changes the parameters of usability testing by incorporating behavioral analysis metrics, cognitive impairment indicators, and accessibility profile parameters. These parameter changes enable the detection of accessibility issues specific to users with cognitive disabilities while maintaining the overall testing structure.
2Productivity
If accessibility problems are not identified, then user interface development proceeds quickly, but business losses occur due to inaccessible applications
Solution Approach 1:
The patent performs preliminary accessibility detection and resolution model generation during the development phase, before deployment. By identifying accessibility problems early through behavioral pattern analysis and generating resolution models in advance, the system prevents business losses without significantly delaying development.
Solution Approach 2:
The patent implements a feedback mechanism where accessibility detection results and resolution models are fed back into the development process. This continuous feedback loop allows developers to address accessibility issues iteratively, balancing development speed with accessibility improvement and preventing business losses.
3Measurement precision
If detailed user behavior analysis is performed, then accessibility problems can be accurately identified, but processing time and computational resources increase
Solution Approach 1:
The patent applies partial action by focusing behavioral analysis on key indicators and critical user interactions that most strongly correlate with accessibility problems. Rather than analyzing every single user action in detail, the system targets specific behavioral patterns that provide the most valuable insights, reducing processing time while maintaining identification accuracy.
Solution Approach 2:
The patent creates accessibility profiles that serve as simplified representations or copies of complex user behavior patterns. These profiles capture essential accessibility characteristics without requiring full replication of detailed behavioral data, enabling efficient analysis and comparison while preserving measurement precision.
Data Source
AI summary
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.


