Information Processing Apparatus Intent Understanding and Contextual Extraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing information processing systems that provide user assistance functions only respond to user queries, leading to user dissatisfaction due to the need for additional questions and lack of tailored responses.
Innovation Solution
An information processing apparatus and method that includes an intention understanding unit and an information extracting unit to analyze user queries, extracting response basic information and additional information related to the user's context from a knowledge database, providing tailored responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the information processing apparatus responds only to user questions, then the system complexity remains low, but user satisfaction decreases due to the need for additional follow-up questions
Solution Approach 1:
The system performs preliminary actions by proactively extracting and providing additional information that the user may need before they have to ask follow-up questions. The information extracting unit identifies relevant information elements related to the user's context, preferences, and the current query topic, then presents this information in advance, thereby improving ease of operation without requiring complex real-time interaction mechanisms.
Solution Approach 2:
The patent introduces an intermediary mechanism between the user query and the basic response. The information extracting unit acts as an intermediary that processes the user's question, retrieves relevant additional information from the knowledge base, and integrates it with the basic response. This intermediary layer enhances user satisfaction by providing comprehensive information while maintaining manageable system complexity through modular architecture.
2Loss of information
If the system provides only basic response information, then the information processing speed remains high, but the relevance and benefit to the user decreases
Solution Approach 1:
The system applies the extraction principle by separating the information retrieval process into two distinct operations: extracting basic response information and extracting additional relevant information. The information extracting unit selectively extracts only those additional information elements that have a direct relationship with the user's question and context, avoiding unnecessary information retrieval. This approach ensures information completeness while minimizing processing time by focusing extraction efforts on relevant data only.
Solution Approach 2:
The patent implements local quality by providing different levels of information depth based on the specific context and type of user query. Rather than uniformly providing extensive additional information for all queries, the system adjusts the amount and type of additional information extracted based on the relevance to the specific question, user profile, and context. This localized approach to information provision ensures completeness where needed while maintaining efficiency where sufficient information is already provided.
3Ease of operation
If the system extracts additional information from knowledge base, then user satisfaction increases, but the information extraction complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the information extraction process into distinct functional components: the intention understanding unit that analyzes user intent, and the information extracting unit that retrieves relevant information. The information extracting unit is further segmented to handle basic response information and additional relevant information separately. This segmentation reduces extraction complexity by organizing the process into manageable, specialized modules while enabling comprehensive information provision that increases user satisfaction.
Data Source
AI summary
An information processing apparatus includes: an intention understanding unit configured to understand intention of a question inputted from a user; and an information extracting unit configured to extract response basic information which is a response to the question understood by the intention understanding unit and response addition information having relationship with the response basic information from a plurality of pieces of knowledge information including knowledge information relating to the user. Each piece of knowledge information includes a plurality of information elements and relationship information indicating relationship among the plurality of information elements. The information extracting unit extracts the response addition information from a group of information elements having relationship with an information element extracted as the response basic information and an information element included in the knowledge information relating to the user, directly or via one or more information elements.