NLP-Guided UI Navigation for Rapid Tour Generation
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Solution Overview
Problem
Existing guided tours for user interfaces require significant effort and planning, and modern computing platforms' rapid changes limit their effectiveness, leading to inefficient user interactions and wastage of computing resources.
Innovation Solution
A natural language processing model generates guided tours based on textual or other requirements, allowing rapid, accurate, and robust implementation, reducing inefficient user interactions and computing resource wastage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If guided tours are manually created with detailed mapping of user interface components, then the accuracy and effectiveness of the guided tour content is improved, but the time and effort required to produce the guided tour increases significantly
Solution Approach 1:
The system enables self-service by automatically generating guided tour content through AI processing of functional requirements documents, user stories, and source code. The guided tour generation system autonomously maps user interface components and creates tour content without requiring manual intervention, thus achieving both high accuracy and rapid production.
Solution Approach 2:
The patent replaces the mechanical manual process of creating guided tours with an automated AI-based system. Instead of manually mapping UI components and writing tour content, the system uses natural language processing and code analysis to automatically generate accurate guided tour content from existing software artifacts.
2Ease of operation
If guided tours are created for existing user interface features, then user navigation assistance is provided, but the effectiveness of guided tours diminishes as computing platforms rapidly add new features
Solution Approach 1:
The system implements dynamics by continuously adapting to changing user interfaces. When new features are added to the computing platform, the system automatically detects changes through source code analysis and functional requirements updates, then generates updated guided tour content to reflect the new interface structure and features.
Solution Approach 2:
The system incorporates feedback mechanisms where user interactions with guided tours and changes in the user interface are continuously monitored. This feedback is used to update and refine guided tour content, ensuring it remains relevant and effective as the platform evolves with new features.
3Adaptability or versatility
If users manually navigate through user interface pages without guidance, then users can explore the interface freely, but computing resources are wasted due to cycling through pages and going down false paths
Solution Approach 1:
The system applies preliminary action by providing users with pre-planned guided tour content that anticipates the optimal navigation path through the user interface. This preliminary guidance helps users avoid unnecessary page cycles and false paths before they occur, reducing computing resource wastage while maintaining exploration freedom.
Data Source
AI summary
Various implementations disclosed herein include techniques for generation of guided content of user interfaces based on requirements for the guided content. An example implementation may involve receiving a set of requirements associated with guided content for a user interface; generating, via a trained natural language model, a representation of the guided content based on the set of requirements; and providing the representation of the guided content to a client device.