Context-Aware Logging System for Medical Imaging Applications
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for tracking user input operations in applications, such as medical imaging, fail to capture the context and sequence of actions, leading to loss of valuable information and limitations in training, evaluation, and usability improvement.
Innovation Solution
A context-aware logging method that records user input events with time values and application contexts, enabling the recreation of application states, multi-user collaboration, and analysis of user inputs for training and troubleshooting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional input tracking methods are used, then device complexity is reduced, but information completeness deteriorates due to loss of context and sequence data
Solution Approach 1:
The patent introduces an intermediary logging system that sits between the user input devices and the application. This mediator captures input events, enriches them with context information (application state, timestamp, sequence number), and stores them in a structured format. This resolves the contradiction by adding information completeness through an intermediary layer without requiring fundamental changes to the core application architecture.
Solution Approach 2:
The logging system segments information capture into distinct components: event identification, context extraction, timestamp recording, and sequence tracking. Each component handles a specific aspect of data collection, allowing the system to gather comprehensive information while maintaining modularity and manageable complexity in the overall architecture.
2Adaptability or versatility
If detailed input operations are recorded, then training and evaluation capability is improved, but data storage requirements increase
Solution Approach 1:
The system extracts only the essential and relevant features from complete input sequences for storage and analysis. Rather than storing every raw input event indefinitely, it extracts key contextual information, application states, and meaningful patterns. This allows the system to maintain strong training and evaluation capabilities while managing data storage requirements through selective extraction of critical information.
3Ease of operation
If application context is captured during logging, then usability analysis is improved, but processing overhead increases
Solution Approach 1:
The logging system performs preliminary capture and structuring of context information at the time of input events. By organizing data with timestamps, sequence numbers, and application states immediately when events occur, the system enables efficient later analysis without requiring heavy processing during actual usability studies. The preliminary structuring reduces the computational burden during subsequent usability analyses.
Data Source
AI summary
A method, apparatus and computer program product are therefore provided to enable context aware logging. In this regard, the method, apparatus, and computer program product may record events that occur in one or more applications, where the events are due to user input. These events may be associated with time values and data describing application contexts, such that the events may be used to generate an input log that also records application semantics and statuses. A variety of operations may be performed using this input log, including recreation of an application state by playing back the log, the ability to suspend or resume a user session, the ability to perform undo or pause operations, the ability to analyze user inputs to train or audit users, testing of users, troubleshooting of errors, and enabling multi-user collaboration.