AI Human-Machine Interaction Using Search Engine Universality
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Solution Overview
Problem
The diversity of interaction sentences and the vast data required for generating interaction information make it impractical to establish perfect databases for each type, leading to an inability to provide user-desired feedback in human-machine interaction systems based on artificial intelligence.
Innovation Solution
A human-machine interaction method and apparatus that receives a user-entered interaction sentence, determines whether to generate an interaction result, and presents information based on a determining result, using either a pre-established database for core-type sentences or search results for non-core-type sentences, thus reducing the overhead of maintaining extensive databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If perfect databases are established for each type of interaction sentence, then the ability to provide user-desired interaction information is improved, but the device complexity and overhead for establishing and maintaining databases increases significantly
Solution Approach 1:
The patent applies universality by using a single search engine to handle multiple types of interaction sentences that were previously required separate specialized databases. The search engine serves as a universal tool that can process diverse queries (weather, news, general knowledge, etc.) without requiring separate database structures for each interaction type, thereby reducing system complexity while maintaining comprehensive coverage.
Solution Approach 2:
The patent extracts the core functionality of providing interaction information from complex specialized databases and consolidates it into a single search engine interface. By taking out the need for multiple specialized databases and replacing them with one universal search capability, the system reduces overhead while maintaining the ability to provide diverse interaction information.
2Adaptability or versatility
If databases are established for all types of interaction sentences, then coverage of interaction information is improved, but the loss of time and resources for maintaining extensive databases increases
Solution Approach 1:
The search engine serves as a universal information source that handles diverse interaction sentence types without requiring separate maintenance for each domain. This single multi-functional system provides broad coverage (weather, news, general knowledge, etc.) while eliminating the time-consuming task of maintaining multiple specialized databases.
Solution Approach 2:
The search engine inherently provides self-updating information without requiring manual database maintenance. The system automatically accesses and retrieves current information from external sources, eliminating the need for human operators to continuously update and maintain extensive databases across multiple domains.
3Measurement precision
If specialized databases are created for different interaction sentence types, then the precision of interaction information is improved, but the quantity of substance (data storage requirements) increases significantly
Solution Approach 1:
The patent extracts the need for storing extensive specialized databases and replaces it with on-demand retrieval from a search engine. Instead of storing large quantities of data locally in specialized databases, the system extracts only the necessary information when needed, significantly reducing data storage requirements while maintaining information precision through accurate search queries.
Data Source
AI summary
A human-machine interaction method and apparatus based on artificial intelligence. In the method, a user-entered interaction sentence is received, and whether to generate an interaction result corresponding to the interaction sentence is determined; and interaction information to be presented to the user is determined based on a determining result, the interaction information including at least one of following items: the generated interaction result corresponding to the interaction sentence, or a search result corresponding to the interaction sentence in a search engine.