AI Agent Interaction Interface for Intent-Driven Function Invocation
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Solution Overview
Problem
Users face difficulties in efficiently and accurately finding the appropriate interaction function among multiple options when interacting with AI agents, leading to suboptimal user experience.
Innovation Solution
An interaction method and device that utilize a machine learning model to determine interaction functions based on user intent, displaying relevant operation controls, and automatically recommend and execute the corresponding interaction function upon user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple interaction functions are provided to users, then the functionality and versatility of the AI agent interaction system is improved, but the difficulty of finding and selecting the appropriate interaction function increases
Solution Approach 1:
The system automatically analyzes user input and selects appropriate interaction functions without requiring manual search or selection by the user. The AI agent autonomously determines which interaction function to invoke based on the user's message, eliminating the need for users to navigate through multiple function options.
Solution Approach 2:
The patent replaces the mechanical interaction model where users manually select functions from a list with an intelligent system that automatically analyzes user intent and selects functions. This substitution uses natural language processing and intent recognition to replace the manual mechanical process of function selection.
2Measurement precision
If users manually search for and select interaction functions, then the precision of function selection can be improved, but the time required for interaction increases
Solution Approach 1:
The system performs preliminary analysis of user input and pre-identifies the appropriate interaction function before the user needs to select it. By analyzing the user's message and determining the intended function in advance, the system eliminates the time-consuming manual search process while maintaining accurate function selection.
Solution Approach 2:
The system continuously monitors user interactions and refines its function selection based on feedback from successful interactions. By learning from user behavior patterns and interaction outcomes, the system improves its accuracy in selecting the correct interaction function while maintaining rapid response times.
Data Source
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AI summary
The present disclosure relates to an interaction method, device, electronic apparatus, storage medium and program product, and involves the technical field of artificial intelligence. The interaction method of the present disclosure comprises: displaying an interaction interface of a user and a first Agent; according to interaction information between the user and the first Agent, determining one or more interaction functions associated with the interaction information, wherein the one or more interaction functions are used to interact with the user based on an intention reflected in the interaction information; displaying operation controls of the one or more interaction functions; in response to the user's triggering of a target operation control in the operation controls of the one or more interaction functions, calling the interaction function corresponding to the target operation control to interact with the user.