Generative Chatbot System for Virtual Community Interaction
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Solution Overview
Problem
Conventional virtual community chat interactions can be hindered by differences in personality, eloquence, or unfamiliar topics, leading to awkward silences or reduced interactivity.
Innovation Solution
A generative chatbot system comprising an artificial intelligence device, a client-end host, and a server-end host, which captures chat messages, detects trigger signals, and generates response prompts using a large language model to enhance chat interactivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users participate in virtual community chat with different personalities, eloquence levels, or unfamiliar topics, then user diversity and freedom of expression are improved, but chat interaction quality deteriorates due to awkward silences and reduced engagement
Solution Approach 1:
The patent introduces a chatbot as an intermediary component that analyzes chat context and generates response suggestions for users. The chatbot acts as a mediator between the chat context and user responses, providing timely suggestions that help users maintain smooth interactions even when they lack knowledge or confidence in the topic, thus resolving the contradiction between user diversity and interaction quality
Solution Approach 2:
The system performs preliminary analysis of chat context, user personality, and topic familiarity before generating response suggestions. By pre-processing the chat context and predicting appropriate response directions, the system prepares assistance in advance, enabling users to respond smoothly without experiencing awkward silences, thereby maintaining high interaction quality across diverse user participants
2Productivity
If a chatbot system is introduced to provide response suggestions, then chat interactivity is improved, but system complexity increases due to multiple components including AI device, client-end host, and server-end host
Solution Approach 1:
The patent divides the chatbot system into distinct functional modules: an AI device for generating responses, a client-end host for capturing chat messages and displaying suggestions, and a server-end host for coordinating communications. This segmentation allows each component to perform its specific function efficiently, managing the overall system complexity through modular design while maintaining high chat interactivity
Solution Approach 2:
The server-end host is designed as a universal coordinator that manages multiple functions including receiving chat messages from the client-end host, communicating with the AI device, and coordinating the flow of information. This multi-functional design reduces the need for separate specialized components, thereby controlling system complexity while enabling comprehensive chatbot functionality that enhances interactivity
Data Source
AI summary
A generative chatbot system for virtual community and a method thereof are disclosed. In the system, a client-end host is linked to a virtual community to receive a chat message; when the trigger signal is detected, the client-end host generates an operation interface for inputting the customized instruction, and transmits the chat message and the customized instruction to the server-end host, which can integrate the chat message as the context message having a timing logic and transmit the context message and the customized instruction to an AI device to generate a response message. The server-end host stores the response message received from the artificial intelligence device to a response list, so that the client-end host can select one of the response messages from the response list and output the selected response message to the virtual community.