Adaptive User Interfaces Through Function Completion Prediction

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing user interfaces lack the ability to dynamically adapt and customize based on user interactions and function executions, making it difficult for users to efficiently complete processes, especially when third-party assistance is required.

Innovation Solution

A process prediction system using machine learning models analyzes user interaction data to identify function executions, retrieves user parameters, and predicts the process the user is attempting to complete, generating a customized user interface that guides the user or third-party agents through the necessary functions, considering device type and user history.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a static user interface is used, then the interface structure is simple and stable, but the interface cannot adapt to different user needs and process completion scenarios

Engineering Contradiction:

Improveinterface adaptabilityVSAvoidinterface complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The user interface dynamically adapts its structure and content based on real-time detection of function executions and user interactions. The system transitions from a static interface to a dynamic one that reconfigures itself according to the current process state, user history, and detected functions, thereby improving adaptability without requiring multiple separate interfaces.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The interface parameters such as displayed elements, navigation structure, and information presentation are automatically adjusted based on detected function executions and user parameters. By changing interface parameters in response to detected states, the system achieves versatility while maintaining a unified interface structure.

Inventive Principle:

Principle #35Parameter changes

2Ease of operation

If the user interface provides all possible functions, then the interface is comprehensive, but it becomes difficult for users to find and complete specific processes efficiently

Engineering Contradiction:

Improveprocess completion efficiencyVSAvoidnumber of functions

Core Design Contradiction:

Ease of operationVSQuantity of substance

Solution Approach 1:

The interface segments and organizes functions based on detected process requirements and user history. Instead of presenting all functions uniformly, the system divides and prioritizes functions into relevant categories and sequences, making the interface more navigable and easier to operate for specific tasks.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary analysis of user history and detected functions to predict and pre-organize the sequence of functions needed for process completion. This preliminary action allows the interface to present functions in the optimal order before the user needs to execute them, improving efficiency.

Inventive Principle:

Principle #10Preliminary action

3Adaptability or versatility

If the system predicts processes based on function execution, then the interface can be customized to improve user experience, but the system complexity increases

Engineering Contradiction:

Improveinterface customizationVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system automatically detects function executions, retrieves user parameters, and predicts processes without requiring manual input or configuration. The interface self-adjusts based on detected states and user history, achieving customization through automated detection and prediction rather than complex manual setup.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously monitors function executions and user interactions, using this feedback to refine process predictions and interface customization. This feedback loop allows the system to learn from actual usage patterns and improve its predictions over time, achieving adaptability through iterative refinement.

Inventive Principle:

Principle #23Feedback

4Productivity

If third-party assistance is allowed for function execution, then more users can complete processes, but it becomes difficult to track and manage the execution process

Engineering Contradiction:

Improveprocess completion rateVSAvoidexecution tracking

Core Design Contradiction:

ProductivityVSDifficulty of detecting and measuring

Solution Approach 1:

The system introduces an intermediary layer that monitors and coordinates between users and third-party function executions. This intermediary detects and tracks execution status, ensuring that third-party actions are properly recorded and managed, thereby maintaining visibility and control over the execution process.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250306963A1Customizing user interfaces based on user function completion

Publication Date: 2025.10.02 CITIBANK N A

AI summary

Systems and methods are described herein for novel uses and/or improvements for predicting, using machine learning models, a process for a user based on function execution. An indication of completion of a predetermined application function associated with a user may be detected and a plurality of stored parameters associated with the user may be identified. The predetermined application function and the parameters may be input into a machine learning model to determine/obtain a process prediction for the user. The process may include a number of functions that may be sent to a user device for execution.