Prediction Tool for User Action Shortcuts
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Solution Overview
Problem
Users often need to navigate through multiple layers of user interfaces on computers and mobile devices to perform desired actions, leading to significant time consumption and system resource expenditure on loading intermediary pages and menus, especially for frequent tasks.
Innovation Solution
A prediction tool that analyzes user action history to predict likely actions and presents shortcuts or links, reducing the need to navigate through extra menus and pages, thereby conserving processing resources and network bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users navigate through multiple layers of user interface menus and pages to perform actions, then the system provides complete control and access to all functions, but the user navigation time and system resource consumption increase significantly
Solution Approach 1:
The system performs preliminary analysis of user action history and predictions before the user actually needs to perform an action. By pre-calculating predicted actions based on historical patterns and presenting them as shortcuts, the system eliminates the need for users to navigate through multiple menu layers, directly resolving the navigation time issue while maintaining full system functionality
Solution Approach 2:
The patent introduces an intermediary prediction layer between the user and the underlying system functions. This prediction tool acts as a mediator that analyzes user behavior patterns and provides intelligent shortcuts, reducing the number of intermediary menu operations users must perform while still allowing access to complete system functionality when needed
2Adaptability or versatility
If the system loads multiple intermediary pages and menus for each user action, then all system functions remain accessible, but processing resources and network bandwidth are significantly expended
Solution Approach 1:
The system extracts and separates the most frequently performed actions from the complete menu structure and presents them as direct shortcuts. By taking out only the necessary predictive shortcuts rather than loading entire menu hierarchies, the system reduces processing resources and network bandwidth consumption while maintaining adaptability - users can still access complete functionality by navigating the full menus when predictions are not sufficient
Solution Approach 2:
The system performs partial loading by only retrieving and displaying predicted action shortcuts rather than loading complete menu structures and pages. This partial action approach consumes fewer processing resources and network bandwidth while still providing the necessary functionality for common tasks, with the option to load additional resources only when users need to access functions beyond the predicted shortcuts
Data Source
AI summary
An apparatus includes a memory and processing circuitry. The memory stores a log for a user account. The log includes a first action performed by a user and a first date on which the first action was performed, a second action performed by the user and a second date on which the second action was performed. The processing circuitry receives a confirmation that a login occurred for the user account, determines a time of the login and first and second scores for the first and second actions. The prediction tool predicts that the first action is more likely to be performed than the second action. The prediction tool presents, on a display, a first link that when activated, causes the first action to be performed.