Interactive Data Processing for High-Abstraction User Inputs
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Solution Overview
Problem
Existing data analysis systems struggle with high abstraction level user inputs, leading to unclear user intentions and increased interaction efforts and response wait times, as users often require multiple iterations to achieve desired outputs.
Innovation Solution
An interactive data processing apparatus that determines the abstraction level of user inputs and generates questions or predefined processing based on machine learning models to reduce abstraction, ensuring the user's intention is accurately reflected in the output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the system processes high abstraction level user inputs directly, then the system can maintain simplicity in processing logic, but the output result may not match user intention and requires multiple interaction iterations
Solution Approach 1:
The system performs preliminary analysis of user input abstraction level before executing the main data processing task. By determining whether input is high or low abstraction level in advance, the system can prepare appropriate processing strategies beforehand, reducing the need for multiple interaction iterations and thereby reducing interaction time
2Measurement precision
If the system requests additional information from users to clarify high abstraction level inputs, then the output accuracy can be improved, but the number of interactions and wait times increases
Solution Approach 1:
The system introduces an intermediary classification mechanism that categorizes user inputs by abstraction level. This intermediary layer enables the system to handle high abstraction level inputs through predefined processing without requiring iterative clarification from users, thereby maintaining both accuracy and efficiency
3Reliability
If the system performs multiple iterations to refine output results, then the result quality can be improved, but the response wait time increases
Solution Approach 1:
The system performs preliminary classification of input abstraction level to determine the appropriate processing path in advance. For high abstraction level inputs, the system applies predefined processing immediately rather than through multiple iterative refinements, thereby ensuring reliable output quality while minimizing response wait time
Data Source
AI summary
In general, according to one embodiment, an interactive data processing apparatus includes a processor including hardware. The processor receives a user input. The processor determines an abstraction level of the user input. The processor generates a question for a user to reduce the abstraction level in a case where the abstraction level is determined to be high. The processor determines data processing necessary for outputting a result according to the user input in a case where the abstraction level is determined to be low.