Context-Aware Smart Device Performance Retrieval System
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Solution Overview
Problem
Consumers face challenges in determining the actual performance of smart devices and applications when used in combination with their specific smart devices, as existing reviews often lack context-specific information, leading to inconvenient 'buy—test—return' practices and increased costs for both consumers and manufacturers.
Innovation Solution
A method and system that utilize a knowledge base to match context information of smart devices, allowing users to receive performance information from helper devices with similar context, enabling secure and anonymous connections for feedback and improving the accuracy of performance expectations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If consumers purchase devices based on general reviews without context-specific information, then the purchasing process is simple and quick, but the actual performance may not meet expectations leading to returns
Solution Approach 1:
The system performs preliminary actions by collecting and storing context information from helper devices before a purchase decision is made. Performance data is gathered in advance under specific context conditions (device models, OS versions, configurations) and stored in a knowledge base, allowing consumers to access context-specific performance information before purchasing, thereby avoiding the buy-test-return cycle
Solution Approach 2:
The patent introduces an intermediary system (the performance information system with knowledge base) that mediates between general product reviews and actual device performance. This intermediary collects, stores, and retrieves context-specific performance data from multiple helper devices, providing a bridge between generic reviews and individual user experiences, enabling more accurate performance predictions
2Reliability
If consumers conduct thorough research and testing before purchase, then performance expectations are more accurate, but the process becomes time-consuming and costly
Solution Approach 1:
The system creates copies of actual device performance data from multiple helper devices operating under similar contexts. Instead of requiring consumers to physically test devices, the system replicates and shares performance information from devices with matching context profiles (same or similar device models, configurations, and operating conditions), providing accurate performance predictions without requiring time-consuming physical testing
Solution Approach 2:
The system enables self-service by automatically collecting context information from helper devices and making it accessible to consumers through a database or interface. Consumers can independently query the system for context-specific performance data without requiring manufacturer assistance, third-party testing, or personal experimentation, thereby reducing both time and cost while maintaining high accuracy
Data Source
AI summary
In an approach to determine performance information of a target item operating under a particular set of context information, a method, in response to receiving a request for performance information of a target item, and operating with a first computing device, identifies context information of the first computing device. The method determines whether a knowledge base includes a response that correlates to the request for performance information of the target item operating within context information similar to the first computing device. The method, in response to determining that the knowledge base includes the response that correlates to the request for performance information of the target item, sends the performance information to the first computing device, and initiates a communication channel between the first computing device and a second computing device operating the target item and having similar context information of the first computing device.