Smart Request Processing via Intent and Time Analysis
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Solution Overview
Problem
Smart electronic devices face challenges in processing user requests effectively using natural language inputs, which include text, voice, or combinations thereof, and require innovative methods to manage user interfaces, especially in contexts like Brain-Computer Interfaces where user intent needs to be accurately identified.
Innovation Solution
A method and electronic device that analyze user requests to detect user intent and time information, determining a post-event time period to launch relevant applications, providing responses based on inferred user intent and context, enhancing user experience through intelligent user interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If natural language processing is used to identify user intent, then user intent identification accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the user request processing into distinct components: receiving the natural language input, analyzing it to detect user intent and time information, determining matching applications, and launching them at the appropriate time. This segmentation allows each component to be optimized independently while maintaining overall system accuracy.
Solution Approach 2:
The system performs preliminary analysis of the user request to detect user intent and extract time information before determining which applications to launch. By pre-processing the natural language input and identifying key elements in advance, the system reduces the complexity of subsequent decision-making processes.
2Speed
If applications are launched immediately in response to user requests, then response speed is improved, but timing accuracy deteriorates
Solution Approach 1:
The system performs preliminary detection of time information within the user request before launching applications. By extracting and analyzing temporal cues in advance, the system can schedule application launches at the precisely intended moment rather than immediately, maintaining both speed and timing accuracy.
Solution Approach 2:
The system uses the detected time information as feedback to determine when to launch applications. The time extraction results directly influence the launch timing decision, creating a feedback loop that ensures applications are launched at the correct moment based on the user's temporal intent.
Data Source
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AI summary
A method for processing a user request by an electronic device is provided. The method includes receiving the user request including natural language, analyzing the user request to detect a user intent and time information, determining one or more applications matching the user intent associated with the user request, determining a post event time period which is a time period before a time point extracted from the time information, and launching at least one among the one or more applications at the post event time period.