Dynamic Man-Machine Conversation System for Outgoing Calls
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Solution Overview
Problem
Current man-machine conversation systems in outgoing call scenarios are limited in their ability to respond to user-initiated questions, leading to poor interaction and limited flexibility in conversation flow.
Innovation Solution
A method and apparatus for man-machine conversation that outputs question information based on a first task, judges whether to trigger a second conversation scenario based on user replies, and generates response information accordingly, enabling the system to actively initiate and respond to user questions, thereby enhancing interaction intelligence and fluency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the conversation system actively guides the user through a preset process, then the task completion efficiency is improved, but the system cannot respond to user-initiated questions, resulting in poor interaction quality
Solution Approach 1:
The conversation system dynamically switches between two operational modes: a preset task guidance mode for efficient task completion and a responsive conversation mode for handling user-initiated questions. The system can transition between these modes based on the conversation context, allowing it to maintain high task completion efficiency while also being adaptable to user questions.
Solution Approach 2:
The conversation system is designed to perform multiple functions: it can both actively guide users through preset tasks and passively respond to user-initiated questions. This multi-functionality allows the system to serve dual purposes, maintaining task efficiency while improving interaction quality by handling various types of user inputs.
2Stability of the object's composition
If the conversation system follows a fixed preset process, then the conversation flow is controlled, but the interaction fluency and intelligence are reduced
Solution Approach 1:
The system employs dynamic conversation flow management where the preset process provides a stable framework, but the system can deviate from this framework to respond naturally to user questions. This dynamic adjustment maintains conversation control while improving fluency by adapting to user inputs in a natural manner.
Solution Approach 2:
The system continuously monitors user inputs and provides feedback by determining whether to follow the preset process or respond to user-initiated questions. This feedback mechanism allows the system to adjust its conversation flow in real-time, maintaining both control and fluency by responding appropriately to user behavior.
3Productivity
If the system only guides conversation in a preset task, then the task-oriented efficiency is improved, but the overall interaction performance is limited
Solution Approach 1:
The conversation system is designed with multi-functionality to handle both task-oriented guidance and general conversational responses. This allows the system to maintain high task-oriented efficiency while also improving overall interaction performance by reliably handling various types of user inputs, including unexpected questions.
Solution Approach 2:
The system dynamically adjusts its operational focus between task completion and general conversation based on the situation. This dynamic behavior allows the system to maintain task-oriented efficiency when needed while also providing reliable interaction performance by responding appropriately to user-initiated questions and maintaining natural conversation flow.
Data Source
AI summary
Embodiments of the present disclosure provide a method and apparatus for man-machine conversion, and an electronic device. The method includes: outputting question information to a user based on a first task of a first conversation scenario; judging, in response to receiving reply information returned by the user, whether to trigger a second conversation scenario based on the reply information; generating, in response to determining the second conversation scenario being triggered based on the reply information, response information corresponding to the reply information based on the second conversation scenario; and outputting the response information to the user.