Dynamic UI Generation via Scenario Simulation Engine

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Solution Overview

Problem

Current computing services provide static user interfaces (UIs) and content that do not account for a user's journey, events, or characteristics, leading to poor user experience and inefficient transaction processing.

Innovation Solution

The use of an intelligent scenario simulation engine that executes AI models to simulate and predict dynamic UIs and content based on a user's journey, characteristics, and service state, allowing for reduced code development and faster UI and backend code configuration.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If static UIs and content are provided to users, then code development is simpler and more straightforward, but user experience deteriorates due to lack of personalization and adaptability to user journey

Engineering Contradiction:

Improvecode development simplicityVSAvoiduser experience

Core Design Contradiction:

Ease of manufactureVSEase of operation

Solution Approach 1:

The patent implements dynamic UIs that automatically adapt to user journey stage, device type, and interaction context without requiring manual configuration for each scenario. The system transitions from static to dynamic content delivery by using machine learning models to predict and generate appropriate UI variations in real-time based on observed user behavior patterns

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system enables self-service through automated UI generation where the machine learning model independently creates personalized user interfaces based on user data and journey context. The model autonomously determines content, layout, and interaction elements without human intervention, allowing the system to serve itself in generating adaptive UIs

Inventive Principle:

Principle #25Self-service

2Ease of operation

If dynamic UIs and content are provided tailored to user journey and characteristics, then user experience improves, but code development complexity and manual development costs increase

Engineering Contradiction:

Improveuser experienceVSAvoidcode development complexity

Core Design Contradiction:

Ease of operationVSDevice complexity

Solution Approach 1:

The patent replaces manual code development mechanisms with machine learning-based automated generation. Instead of developers manually creating and maintaining multiple UI variants for different user scenarios, an ML model automatically generates appropriate UIs based on user data, journey stage, and device context, substituting mechanical development processes with intelligent automation

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system changes UI parameters dynamically based on user journey stage, device type, and interaction context. The ML model adjusts content, layout, navigation, and interaction elements as parameters based on real-time user data, enabling flexible adaptation without requiring separate codebases for each scenario

Inventive Principle:

Principle #35Parameter changes

3Use of energy by moving object

If static content is provided without considering user journey, then service provision is more efficient in terms of resource usage, but transaction processing efficiency deteriorates due to inadequate user engagement

Engineering Contradiction:

Improveservice provision efficiencyVSAvoidtransaction processing efficiency

Core Design Contradiction:

Use of energy by moving objectVSProductivity

Solution Approach 1:

The system performs preliminary actions by using the ML model to predict user needs and pre-generate appropriate UI content and recommendations before users explicitly request them. The model analyzes user journey stage and characteristics to proactively prepare personalized interfaces and content, improving transaction efficiency without excessive resource consumption

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250123820A1Dynamic user interfaces and content with reduced code development using an intelligent scenario simulation engine

Publication Date: 2025.04.17 PAYPAL INC

AI summary

There are provided systems and methods for dynamic user interfaces and content with reduced code development using an intelligent scenario simulation engine. A service provider, such as an online transaction processor, may provide computing services to users, such as electronic transaction processing, which may be facilitated and/or assisted by agents of the service provider. To provide dynamic user interfaces and content tailored to a user experience and based on different simulated scenarios of the user experience, the service provider may utilize a simulation engine to simulate permutations of user interfaces and content from combinations of the user and/or agents data and service states of available services that may be accessed and used through the user interfaces. This may utilize a large language model and/or generative AI to simulate such scenarios, as well as computing code for the user interfaces and calls to provide content via the services.