AI Query Sub-Information Prompting for Service Accuracy
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Solution Overview
Problem
Existing artificial intelligence technologies face challenges in providing users with comprehensive and accurate services, as they often fail to prompt users for additional information needed to deliver precise responses, leading to incomplete or inaccurate results.
Innovation Solution
An information processing method and electronic device that collect input information, generate feedback containing query sub-information, and allow users to supplement their requests, enabling the device to provide more accurate and comprehensive services by prompting for necessary details.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the electronic device provides services based on initial input information only, then the response speed is fast, but the accuracy and completeness of the service is insufficient
Solution Approach 1:
The system performs preliminary actions by proactively generating and outputting query sub-information before the user provides complete input. This allows the system to prepare follow-up questions in advance, enabling faster subsequent interactions while ensuring accurate service delivery through comprehensive information collection.
Solution Approach 2:
The system implements a feedback mechanism where query sub-information is output to users based on their input, and user responses to these queries are fed back into the system. This iterative feedback loop enables the system to progressively refine its understanding and provide accurate services while maintaining efficient communication flow.
2Reliability
If the electronic device collects more information from users, then the service completeness improves, but the user interaction complexity increases
Solution Approach 1:
The system segments the information collection process by dividing it into initial input collection and subsequent query sub-information collection. This segmentation allows the interaction to be broken down into manageable stages, reducing the perceived complexity for users while ensuring comprehensive information gathering for complete service delivery.
Solution Approach 2:
The system dynamically adjusts the interaction process based on the initial input received. Rather than following a fixed complex questionnaire, the system generates queries adaptively tailored to the specific input, making the interaction feel more natural and less burdensome while still achieving complete service coverage.
Data Source
AI summary
A method for information processing includes collecting input information, obtaining feedback information in response to the input information, and outputting the feedback information. The feedback information contains query sub-information.