Adaptive Service Model Switching for Intelligent Assistant Accuracy
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Solution Overview
Problem
Existing applications with fixed intelligent assistants provide inaccurate services and waste resources, leading to a worsened user experience due to their inability to adapt to different usage scenarios.
Innovation Solution
An operation control method that dynamically switches between service models based on adaptation values, ensuring a better quality of service and user experience by monitoring and adjusting service models when adaptation values fall within a target threshold range.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a fixed intelligent assistant is used in different applications, then the device complexity is reduced, but the service accuracy and user experience deteriorate
Solution Approach 1:
The patent implements dynamic service model switching by monitoring adaptation values in real-time and automatically transitioning between service models based on predefined thresholds. This allows the system to adapt to changing application scenarios dynamically, improving service accuracy without requiring manual intervention or complex configuration management.
Solution Approach 2:
The system changes the operational parameters of the intelligent assistant by switching between different service models based on adaptation value thresholds. This parameter change approach enables the same assistant framework to provide accurate services across different scenarios by adjusting which service model is active, rather than changing the fundamental system structure.
2Device complexity
If a fixed intelligent assistant is used across different applications, then the device complexity is reduced, but the resource utilization deteriorates
Solution Approach 1:
The system dynamically adjusts resource allocation by switching service models based on real-time adaptation values. This ensures that computational resources are allocated to the most appropriate service model for the current scenario, preventing resource waste while maintaining a relatively simple overall system structure with a unified assistant framework.
Solution Approach 2:
By changing which service model is active based on adaptation thresholds, the system optimizes resource utilization without restructuring the entire system. This parameter-based switching mechanism allows efficient resource allocation across different applications while keeping the system architecture simple.
3Measurement precision
If service models are switched frequently based on adaptation values, then the service quality improves, but the system stability deteriorates
Solution Approach 1:
The system uses adaptation value monitoring as feedback to determine when service model switching is appropriate. By comparing real-time adaptation values against predefined thresholds, the system can make informed decisions about switching, ensuring that changes occur only when necessary to improve service quality, thereby maintaining overall system stability.
Solution Approach 2:
The system implements controlled dynamics by allowing service model switching only when adaptation values cross specific thresholds. This threshold-based approach provides a balance between adaptability and stability, enabling the system to respond to genuine changes in service quality while avoiding unnecessary switching that would destabilize the system.
Data Source
AI summary
An operation control method includes: in the process of an electronic device running a target application, in response to a target triggering event, launching a first target service model, where the first target service model is configured to provide a target functional service; monitoring the adaptation value between the first target service model and the target application; and, when the adaptation value changes to fall within a target threshold range, controlling the electronic device to switch from running the first target service model to launching a second target service model, where the quality of the functional service provided by the second target service model is better than that of the first target service model, and/or the user experience of the second target service model is better than that of the first target service model.