Intelligent Dialogue Robot Call Form Adaptation
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Solution Overview
Problem
Intelligent dialogue robots have a fixed call form that is not adaptable to changing subscriber status or preferences, leading to suboptimal performance and user dissatisfaction.
Innovation Solution
A call processing method that adjusts the call form of an intelligent dialogue robot in real-time based on the status information of the calling subscriber, incorporating basic character settings and tag information of the incoming call number, using a preset correspondence relationship table to determine suitable call forms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed call form is used for the intelligent dialogue robot, then the device complexity is reduced and ease of operation is improved, but the adaptability to different subscriber statuses deteriorates
Solution Approach 1:
The patent implements dynamic adjustment of call forms by monitoring subscriber status in real-time and automatically switching between different call forms (e.g., voice call, video call, text message) based on detected status changes such as busy, away, or unavailable states. This allows the system to adapt flexibly to varying conditions without requiring complex manual configuration.
Solution Approach 2:
The system changes operational parameters of the call form based on subscriber status. Specifically, it modifies communication mode parameters (voice/video/text), timing parameters (immediate/delayed communication), and interaction parameters (direct/indicated communication) according to the detected status, enabling adaptive behavior through parameter adjustment rather than structural complexity.
2Productivity
If the call form is adjusted in real-time based on status information, then the adaptability and user satisfaction are improved, but the processing time and system complexity increase
Solution Approach 1:
The patent performs preliminary actions by pre-defining multiple call forms and their corresponding conditions before actual communication occurs. The system预先 prepares different communication modes (voice call, video call, text message) and their activation conditions, allowing for rapid switching during communication without requiring complex real-time analysis or decision-making processes.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring subscriber status and using this information to automatically adjust call forms. The status information serves as feedback that triggers predefined adjustment rules, enabling efficient adaptive processing without requiring extensive real-time computation or human intervention.
3Manufacturing precision
If multiple parameters (status information, basic character settings, tag information) are considered for adjustment, then the manufacturing precision of call form selection is improved, but the device complexity and difficulty of detecting and measuring increase
Solution Approach 1:
The patent segments the call form selection process into independent parameter modules: status information detection, basic character settings retrieval, and tag information analysis. Each parameter is detected and processed separately through dedicated functional modules, and their results are combined to determine the final call form. This segmentation simplifies the detection and measurement of each parameter while maintaining comprehensive analysis accuracy.
Data Source
AI summary
The present disclosure provides a call processing method, apparatus, electronic device and storage medium and relates to the field of cloud computing. The method may comprise: obtaining a calling subscriber's status information in real time while an intelligent dialogue robot is used to make a call with the calling subscriber; when it is determined that a call form of the intelligent dialogue robot needs to be adjusted, correspondingly adjusting the call form of the intelligent dialogue robot according to current status information of the calling subscriber. The solution of the present disclosure may be employed to improve the call performance of the intelligent dialogue robot.