Inquiry Response System Using Scenario Extraction
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Solution Overview
Problem
Users often encounter difficulties in using devices due to unknown functions or device malfunctions, leading to unmet needs for effective responses to device usage inquiries and troubleshooting.
Innovation Solution
A system that extracts operation scenario information from device specifications and states, classifies user inquiries, and provides detailed response operations, including recommendation operations and guidance, to address usage inquiries and troubleshoot issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the device provides comprehensive response operations for device usage inquiries, then the user experience and device usability are enhanced, but the system complexity increases
Solution Approach 1:
The patent segments the inquiry response system into multiple independent modules: classification module (for categorizing inquiries), operation scenario extraction module (for retrieving relevant scenarios), and response generation module (for formulating answers). This modular architecture enhances usability through comprehensive coverage while managing complexity through organized separation of concerns.
Solution Approach 2:
The patent introduces an operation scenario database as an intermediary layer between the user inquiry and the response generation. This database stores pre-defined operation scenarios that act as mediators, translating user questions into structured responses without requiring complex real-time reasoning, thus improving usability while containing system complexity.
2Measurement precision
If the system extracts and processes detailed operation scenario information, then the accuracy of response operations improves, but the processing time increases
Solution Approach 1:
The patent performs preliminary extraction and organization of operation scenario information during system initialization or offline processing. The classification models and operation scenario databases are pre-built and stored, allowing the system to quickly retrieve and match scenarios against user inquiries without performing complex extraction in real-time, thus maintaining high accuracy while reducing processing time.
Solution Approach 2:
The patent extracts only the essential and relevant features from operation scenarios that are necessary for accurate response generation. Rather than processing complete scenario descriptions, the system extracts key attributes and characteristics, reducing the data volume to be processed while preserving the accuracy needed for effective inquiry resolution.
3Reliability
If the system provides detailed troubleshooting guidance, then the effectiveness of problem resolution improves, but the amount of information provided increases
Solution Approach 1:
The patent applies local quality by providing different levels of troubleshooting detail based on the specific inquiry and user context. The system analyzes the user's question and the extracted operation scenario to determine the appropriate depth and type of guidance needed, delivering customized responses that are neither too brief nor excessively detailed, thus improving effectiveness while avoiding information overload.
Solution Approach 2:
The patent implements dynamic adjustment of information provision based on user feedback and interaction patterns. The system can adaptively expand or contract the level of detail in troubleshooting guidance during the interaction, providing comprehensive information when needed and concise responses when the user demonstrates understanding, thereby maintaining high reliability while managing information flow dynamically.
Data Source
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AI summary
Provided are a device for providing a response operation corresponding to a device usage inquiry and a method of controlling the device. The method of controlling a device for providing a response operation corresponding to a device usage inquiry may include: receiving a user input corresponding to the device usage inquiry; classifying the device usage inquiry by analyzing the received user input corresponding to the device usage inquiry; extracting operation scenario information corresponding to a result of the classifying the device usage inquiry; and executing preset response operations of the device based on the operation scenario information, wherein the classifying includes classifying the device usage inquiry by inputting the user input of the device usage inquiry to a learning model that is a pre-generated.