Topic Guidance in Conversational AI Chat Engines
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Solution Overview
Problem
Conversational AI chatbots are often passive and provide answers without guiding the conversation, leading to unsatisfactory user experiences and lacking business value.
Innovation Solution
Implement a method and apparatus for guiding a conversation between a user and a chat engine by determining initial and target topics, dynamically switching topics based on user responses, and providing relevant resources or services, enhancing interaction and user satisfaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the chatbot provides answers passively without guiding the conversation, then the chatbot responds to user queries, but the user experience is unsatisfactory and lacks business value
Solution Approach 1:
The system pre-establishes a topic graph with multiple topics and their relationships before the conversation starts. The chatbot proactively selects and guides the conversation to specific topics based on user queries, rather than passively waiting for user-initiated topics. This preliminary preparation enables active conversation guidance while maintaining good user experience.
Solution Approach 2:
The system continuously monitors user responses and adjusts the conversation direction accordingly. When a user responds to a guided topic, the system feedback-loop determines whether to stay on the current topic or switch to another related topic, creating an adaptive conversation flow that enhances both user experience and business value delivery.
2Adaptability or versatility
If the chatbot dynamically switches topics based on user responses, then the conversation becomes more engaging, but the system complexity increases
Solution Approach 1:
The conversation system is segmented into discrete topics and their relationships, organized in a topic graph structure. Each topic can be independently managed and transitioned between, making the complex adaptability of dynamic topic switching manageable through structured segmentation. The system transitions between segmented topic units based on user responses.
Solution Approach 2:
The system changes the active topic parameter based on user response analysis. By treating topics as switchable parameters within the conversation state, the system achieves dynamic adaptability without requiring complex reconfiguration of the entire conversation management architecture. Topic switching becomes a parameter change operation.
3Productivity
If the chatbot provides resources or services related to target topics, then business value is added, but the risk of providing irrelevant information increases
Solution Approach 1:
The system pre-establishes reliable topic relationships and resource associations within the topic graph before the conversation occurs. This preliminary structuring ensures that when the chatbot transitions to a target topic and provides resources, the information is inherently relevant because it was pre-validated through the topic graph's relationship structure.
Solution Approach 2:
The system uses user responses as feedback to verify whether the current topic is still relevant before providing additional resources or services. This feedback mechanism acts as a reliability check, ensuring that resources are only provided when the user's responses confirm continued interest in the target topic, thereby preventing irrelevant information delivery.
Data Source
AI summary
The present disclosure provides method and apparatus for guiding topic in a conversation between a user and a chat engine. At least one first topic is determined. A first message is provided to the user based on the at least one first topic, to guide the conversation to the at least one first topic. A first response to the first message is received from the user. It is determined whether the first response is associated with the at least one first topic. In the case of determining that the first response is associated with the at least one first topic, at least one second topic is determined based on the at least one first topic. At least one second message is provided based at least on the at least one second topic, wherein if the at least one second topic is associated with resource or service, the at least one second message includes at least the resource or service.