Multimodal Unread Message Summarization for Faster Chat Navigation
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Solution Overview
Problem
Existing instant messaging systems require users to manually navigate through numerous interactive chat messages, including voice messages, which is time-consuming and inefficient, especially for extracting effective information.
Innovation Solution
A method and apparatus that automatically acquires unread messages, identifies their contents, and generates summary information for text, image, and voice messages, allowing output in a dialog box, floating window, or voice playback, enabling quick access to message summaries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually navigate through chat messages to extract effective information, then users can read all messages in detail, but the time consumption increases significantly
Solution Approach 1:
The patent extracts the core content from unread messages by generating summary information that captures essential details. The system identifies key elements from message contents and presents condensed summaries, allowing users to obtain effective information without reading entire message threads manually.
Solution Approach 2:
The patent replaces manual message navigation with automated content identification and summary generation systems. AI algorithms automatically analyze message contents, extract key information, and generate summaries, substituting the mechanical process of manual reading with intelligent automated processing.
2Loss of information
If the system provides detailed unread message contents, then users can access complete information, but the complexity of message processing increases
Solution Approach 1:
The patent segments message processing into distinct functional modules: message acquisition, content identification, summary generation, and output presentation. Each module handles specific tasks independently, reducing overall system complexity while maintaining complete information processing capabilities.
Solution Approach 2:
The patent extracts only the essential summary information from complete message contents rather than processing and presenting all details. This extraction approach reduces processing complexity by focusing on key elements while still providing users with access to complete information when needed.
3Loss of information
If the system processes all unread messages including voice messages, then comprehensive coverage is achieved, but the processing time increases
Solution Approach 1:
The patent replaces time-consuming manual or traditional processing of diverse message types with automated AI-based content identification. The system uses voice recognition for voice messages, image recognition for images, and natural language processing for text, enabling comprehensive coverage of all message types through automated intelligent processing.
Solution Approach 2:
The patent changes the processing parameters by applying different identification methods based on message types (voice, image, text) and generating summaries at appropriate levels of detail. This adaptive parameter adjustment enables efficient processing of heterogeneous message content while maintaining comprehensive coverage.
Data Source
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AI summary
A message processing method includes: acquiring an unread message in the communication software; identifying contents of the unread message to obtain summary information of the unread message; and outputting the summary information.