User Preference Digital Profile for Personalized Accessibility

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Solution Overview

Problem

Existing digital accessibility standards, such as WCAG, fail to account for individual user preferences, particularly for users with cognitive disabilities, and rely solely on institutional compliance, leading to suboptimal user experiences and potential legal repercussions for non-compliance.

Innovation Solution

Users generate a user preference digital profile with customizable accessibility settings, leveraging machine learning to determine preferences and utilize accessibility tools that can be shared with entities to ensure personalized and accessible digital content.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If rigid institutional compliance with WCAG standards is implemented, then digital content accessibility is improved, but individual user preferences and varying levels of disability are not adequately addressed

Engineering Contradiction:

Improveaccessibility complianceVSAvoidindividual preference adaptation

Core Design Contradiction:

ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent segments accessibility preferences into discrete, user-configurable parameters organized in a digital profile. Instead of treating accessibility as a monolithic compliance requirement, the system breaks it down into individual preference elements that can be independently selected and adjusted by users based on their specific needs and preferences.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent implements dynamic accessibility profiles that can be updated and modified by users over time. The system allows preferences to change as user needs evolve, and includes mechanisms for users to add, remove, or modify preference parameters. This dynamic approach enables continuous adaptation to individual user requirements rather than static compliance configurations.

Inventive Principle:

Principle #15Dynamics

2Ease of operation

If machine learning techniques are used to automatically determine user preferences, then user experience is enhanced, but system complexity increases

Engineering Contradiction:

Improvepreference configurationVSAvoidsystem architecture

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent implements self-service mechanisms where users can directly configure their own accessibility preferences through intuitive interfaces. The system provides tools that empower users to independently manage their digital profiles, select preference parameters, and adjust settings without requiring complex system administration or technical expertise.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent introduces an intermediary layer between the user and the complex machine learning systems. This intermediary interface simplifies the interaction by presenting users with manageable preference categories and options, while the underlying complex algorithms automatically process these preferences and generate appropriate accessibility configurations.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Adaptability or versatility

If users maintain control over their accessibility preferences, then user empowerment is achieved, but reliance on institutional compliance remains necessary

Engineering Contradiction:

Improveuser controlVSAvoidinstitutional adherence

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent creates a universal digital profile system that serves multiple functions simultaneously. The same user preference profile can be applied across different digital platforms and institutions, enabling users to maintain consistent accessibility settings regardless of which institution they are interacting with. This multi-functional approach reduces the need for institution-specific compliance configurations.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent implements feedback mechanisms where users can evaluate the effectiveness of their accessibility preferences and provide input for improvements. The system includes provisions for users to report issues, adjust preferences based on experience, and receive feedback on how their preferences are being applied. This continuous feedback loop enables users to refine their control over accessibility while holding institutions accountable for proper implementation.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS20250301044A1Systems and methods for managing a user preference digital profile for enhanced user accessibility

Publication Date: 2025.09.25 WELLS FARGO BANK NA

AI summary

Systems, apparatuses, methods, and computer program products are disclosed for generating a user preference digital profile for a user. An example method includes determining one or more user preference parameter values for one or more user preference parameters for the user and generating the user preference digital profile for the user. The example method further includes assigning a sharing category to the one or more user preference parameter values in the user preference digital profile and storing the user preference digital profile in a digital identity management repository.