Chat Message Summary Server and User Terminal
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Solution Overview
Problem
In chat rooms with numerous messages, users who are not actively participating often find it difficult to efficiently grasp the information contained within accumulated messages, as existing technologies struggle to provide coherent summaries of conversations.
Innovation Solution
A method and system that allow users to request and receive summary information of chat messages from a server, enabling users to select and summarize only the desired unread messages within a chat room, and display this information in a user terminal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users read through all chat messages to grasp conversation content, then information completeness is improved, but time consumption increases
Solution Approach 1:
The system extracts key information from chat messages to generate summary content. The server identifies and extracts essential conversation points, decisions, and important information from multiple chat messages, then presents these extracted elements as a condensed summary that users can review quickly without reading all original messages.
Solution Approach 2:
The summary generation process segments chat messages into meaningful units and themes. The system divides the continuous stream of chat messages into discrete conversation topics, identifies key segments within each topic, and organizes these segments into a structured summary format that preserves information while reducing volume.
2Loss of information
If summary information is generated for all chat messages, then information coverage is improved, but relevance to user needs deteriorates
Solution Approach 1:
The system applies different summary generation qualities to different chat message sets based on user context. Instead of uniform summarization, the server adjusts summary depth, detail level, and focus areas according to the specific chat room, user role, and conversation type, delivering locally optimized summary quality that matches each context's requirements.
Solution Approach 2:
The summary generation is made dynamic and adaptive to user needs. The system can adjust summary characteristics in real-time based on user interactions, preferences, and context, allowing the same chat message set to generate different summary versions tailored to different user requirements and situations.
3Ease of operation
If automatic summary generation is implemented, then user effort is reduced, but control over summary content deteriorates
Solution Approach 1:
The system incorporates feedback mechanisms that allow users to interact with and influence summary generation. Users can provide feedback on generated summaries, indicate preferences for certain information types, and the server uses this feedback to adjust future summary generation, creating a loop that balances automation with user control.
Solution Approach 2:
The system enables users to self-configure summary preferences and control parameters. Users can set their own summary generation preferences, select which types of information to emphasize, and the system automatically applies these user-defined parameters when generating summaries, allowing users to maintain control while benefiting from automation.
Data Source
AI summary
Proposed is a method for displaying summary information about a chat message by a user terminal. The method may include receiving information about a chat room comprising at least one chat message from a server, and requesting the server to summarize a summary target message, which is at least a part of the at least one chat message. The method may also include receiving and displaying summary information about the summary target message from the server.