Pattern Analysis Subsystem for Automatic Function Selection
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Solution Overview
Problem
Existing systems for studying image data, such as in medical imaging, are insufficiently convenient for users, requiring manual selection of functions and lacking automation in responding to user navigation patterns.
Innovation Solution
A system comprising a user interface subsystem for receiving navigation commands, a function execution subsystem for executing system functions, and a pattern analysis subsystem that determines navigation patterns to automatically select and execute appropriate functions, reducing user intervention and enhancing convenience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual function selection is required, then system control precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system automatically executes functions by analyzing user navigation patterns without requiring manual selection. The pattern analysis subsystem monitors navigation behavior and triggers appropriate system functions autonomously, allowing the system to serve itself in determining when to apply processing functions based on observed user behavior patterns.
Solution Approach 2:
The system implements feedback by continuously monitoring user navigation patterns and using this information to automatically trigger appropriate system functions. The pattern analysis subsystem provides feedback loop by observing navigation behavior and adjusting function execution timing accordingly, improving ease of operation while maintaining system control precision through pattern-based decision making.
2Adaptability or versatility
If multiple system functions are provided, then adaptability is improved, but device complexity deteriorates
Solution Approach 1:
The system segments the complex set of available functions into context-specific groups based on navigation patterns. Instead of presenting all functions simultaneously, the system divides function selection into pattern-based categories, reducing the perceived complexity while maintaining adaptability through selective function presentation aligned with observed user behavior.
Solution Approach 2:
The system performs preliminary analysis of navigation patterns before presenting or executing functions. By pre-analyzing user behavior patterns and preparing appropriate function selections in advance, the system reduces the complexity of real-time decision making while maintaining high adaptability to user needs through pre-computed pattern-function mappings.
3Ease of operation
If automatic function selection is implemented, then ease of operation is improved, but loss of information deteriorates
Solution Approach 1:
The system uses feedback from continuous monitoring of navigation patterns to make informed automatic function selections. By maintaining a feedback loop that tracks user behavior and adjusts function execution accordingly, the system minimizes information loss through data-driven decisions while preserving ease of operation through automated selection based on observed patterns.
Solution Approach 2:
The system replaces manual mechanical function selection with automated pattern recognition and analysis. By substituting the manual selection mechanism with computational pattern analysis, the system reduces information loss through more accurate and consistent function selection while improving ease of operation through automation.
Data Source
AI summary
A system (100) for enabling study of image data, comprising: —a user interface subsystem (120) for i) receiving navigation commands (022) from a user, and ii) displaying different views (400) of the image data (042) in response to the navigation commands for enabling the user to navigate through the image data; —a function execution subsystem (160) for executing individual ones of a plurality of system functions (500) to support the user in the study of the image data; and—a pattern analysis subsystem (140) for: j) obtaining, from the user interface subsystem, data (022) indicative of a display sequence of the different views during the navigating through the image data, jj) analyzing the data to determine a navigation pattern (631) of the user, and jjj) based on the navigation pattern, selecting one of the plurality of system functions for execution by the function execution subsystem.


