Dynamic Response Selection in Human-Computer Interaction
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Solution Overview
Problem
Existing human-computer interaction solutions are inflexible and fail to adequately meet user interaction needs.
Innovation Solution
An interaction method that obtains input information and outputs matching information based on a target response type, utilizing an information set, system information, or processing model to determine the source and method of output information, allowing for flexible and personalized responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional human-computer interaction solutions are used, then the interaction process is simple, but the flexibility and adaptability to user needs are insufficient
Solution Approach 1:
The system dynamically adjusts the interaction process based on user needs by selecting different response types (direct answer, question guidance, or third-party assistance). The interaction flow is not fixed but adapts in real-time based on user input and system state, resolving the contradiction between simplicity and flexibility.
Solution Approach 2:
The system changes the response parameter (response type) based on user needs and context. By adjusting which type of response is generated (direct answer, guiding question, or third-party help), the system achieves flexibility without requiring fundamentally complex interaction mechanisms.
2Adaptability or versatility
If a single fixed response method is used, then the system is simple to implement, but it cannot meet diverse user interaction needs
Solution Approach 1:
The system implements multi-functionality by enabling a single interaction system to provide multiple response types (direct answers, guiding questions, and third-party assistance). This universal approach allows the system to handle diverse user needs without requiring separate specialized systems for each response type.
Solution Approach 2:
The response generation process is segmented into distinct response types that can be independently selected and implemented. Each response type handles specific user needs, allowing the system to manage complexity through modular organization rather than a monolithic complex system.
3Reliability
If multiple response types are implemented, then user needs are better met, but the determination process becomes more complex
Solution Approach 1:
The system uses feedback from user input and interaction context to determine the appropriate response type. By continuously monitoring user needs and adjusting the response accordingly, the system achieves high reliability in meeting user requirements while managing determination complexity through iterative feedback loops rather than complex one-time decisions.
Data Source
AI summary
An interaction method includes obtaining input information, obtaining, in response to the input information and based on a target response type, output information that meets a matching condition with the input information, and outputting the output information. The target response type is used in determination of at least one of a source of the output information or a method of determining the output information.