Deriving Personalized Requirements From Electronic Communications
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Solution Overview
Problem
Users face challenges in determining and monitoring personalized requirements for devices or services, as existing methods require time-consuming research and manual input, lacking a convenient means to assess performance based on important features.
Innovation Solution
A method and system using cognitive analysis of unstructured electronic communications to derive personalized user requirements, combined with performance monitoring over time, generating reports on how well the device or service meets these requirements without direct user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually research and input their requirements for device/service evaluation, then the evaluation can be personalized to user needs, but the process becomes time-consuming and cumbersome
Solution Approach 1:
The system automatically analyzes the user's own electronic communications (emails, text messages, social media posts) to extract their requirements and preferences for device/service evaluation. This self-service approach eliminates the need for users to manually input their requirements, as the system derives them autonomously from the user's existing digital footprint, thereby maintaining personalization accuracy while eliminating time investment.
Solution Approach 2:
The system performs preliminary analysis of user requirements by continuously monitoring and analyzing electronic communications before the user actually needs the evaluation. This advance preparation means that when the user seeks device or service evaluation, the personalized requirements are already established, eliminating the need for time-consuming manual research and input at the moment of need.
2Measurement precision
If the system monitors device/service performance continuously over time, then accurate performance evaluation can be achieved, but the system complexity increases
Solution Approach 1:
The system uses a multi-functional approach where a single monitoring framework handles multiple aspects of device/service performance evaluation. Rather than implementing separate complex monitoring systems for each metric, the system universally applies cognitive analysis techniques across different performance dimensions, thereby achieving accurate evaluation while managing system complexity through functional consolidation.
Solution Approach 2:
The system introduces cognitive analysis technology as an intermediary layer between raw performance data and user requirements. This intermediary automatically interprets and correlates performance metrics with user needs, simplifying the monitoring system architecture while maintaining evaluation accuracy. The cognitive analysis mediator handles the complexity of matching multiple performance parameters against personalized requirements, reducing the burden on the overall system design.
Data Source
AI summary
A computer device determines requirements of a particular device/service by analyzing designated electronic communications. The computer device then monitors performance of the device/service over a period of time to determine performance of the device/service in meeting those derived requirements. An output regarding the performance of the device/service in meeting those requirements is then generated.