AI Agent Instruction Controls From User Demand Information
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Solution Overview
Problem
Users frequently need to input detailed demand information to control AI agents for specific interaction functions, leading to reduced efficiency and user experience due to repeated modifications.
Innovation Solution
An interaction method that includes displaying an instruction creation interface, determining prompt information from user input, and generating an operation control based on that information to facilitate efficient interaction with AI agents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users input detailed demand information to control AI agents for specific interaction functions, then the interaction precision is improved, but the operation complexity and time consumption increase due to repeated modifications
Solution Approach 1:
The system pre-generates operation controls based on user demand information before the user needs to execute the interaction. The operation control is prepared in advance with all necessary parameters and configurations, so the user only needs to trigger it rather than inputting detailed information repeatedly during execution.
Solution Approach 2:
The patent creates a copy of the operation control interface that can be reused. Once an operation control is generated from user demand information, it can be stored and reused for subsequent similar interactions, eliminating the need for users to re-input detailed demand information each time.
2Adaptability or versatility
If users repeatedly modify demand information for different interaction functions, then the adaptability is improved, but the time consumption increases
Solution Approach 1:
The system performs preliminary generation of operation controls based on user demand information. By preparing the operation control in advance with all necessary configurations and parameters, the system eliminates the need for users to repeatedly modify demand information during execution, significantly reducing time consumption while maintaining adaptability.
Solution Approach 2:
The system provides feedback by generating and displaying the operation control based on user demand information. This feedback mechanism allows users to see the generated operation control and make necessary adjustments if needed, while the system remembers previous inputs for similar requests, reducing redundant time-consuming modifications.
3Productivity
If the system generates operation controls automatically from user input, then the productivity is improved, but the device complexity increases
Solution Approach 1:
The patent introduces an intermediary component (the operation control generation module) that translates user demand information into operation controls. This intermediary layer simplifies the interaction between the user and the AI agent by automatically generating the necessary interaction parameters, improving productivity without requiring the user to directly manage complex system configurations.
Data Source
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, in response to a user triggering an instruction creation function, an instruction creation interface; determining prompt information corresponding to a target instruction according to information for creating the target instruction input by the user in the instruction creation interface, wherein the target instruction is configured to indicate demand information of the user for an interaction function of an Agent; and generating and displaying an operation control of the target instruction according to the prompt information.