Chat Message Prioritization System for Command Centers
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Solution Overview
Problem
In command centers, operators face challenges in effectively monitoring and prioritizing incoming chat messages across multiple sessions, often missing important information due to the high volume of textual data and lack of effective filtering methods.
Innovation Solution
A system that combines machine-derived and user-supplied relevancy criteria to prioritize and highlight chat messages, using a computational back end to calculate scores based on historical data, keywords, and sender relationships, and a front end display that uses visual and audio cues to draw attention to high-priority messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If operators monitor multiple chat sessions simultaneously, then information coverage is improved, but information overload increases making it difficult to identify important messages
Solution Approach 1:
The patent introduces an automated message prioritization system that acts as an intermediary between the chat system and the operator. This system analyzes incoming messages using multiple criteria (sender importance, message content, timing patterns) and automatically ranks messages by priority, filtering out low-priority messages from the operator's view while ensuring high-priority messages are prominently displayed.
Solution Approach 2:
The patent changes the parameter of message presentation from equal-weighted display to priority-based ranking. By dynamically adjusting message visibility based on calculated priority scores derived from multiple factors (sender relationships, message content analysis, historical interaction patterns), the system transforms the information overload problem into a manageable prioritized queue.
2Reliability
If operators read through all chat threads in entirety, then important messages are not missed, but time consumption increases significantly
Solution Approach 1:
The patent extracts and highlights only the most relevant portions of chat messages based on priority criteria. Instead of requiring operators to read entire chat threads, the system identifies and extracts high-priority messages using automated analysis of sender importance, message content keywords, and communication patterns, presenting only these extracted elements to the operator.
Solution Approach 2:
The patent performs preliminary filtering and prioritization of messages before they reach the operator. The system pre-analyzes incoming messages, calculates their priority scores, and prepares a pre-sorted message queue, so that when operators view messages, they are already organized by importance rather than requiring operators to manually scan and evaluate each message.
3Manufacturing precision
If operators focus attention on a specific chat room, then response quality improves, but other important messages may be missed
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors message priority levels across all chat sessions and dynamically adjusts message presentation. When a high-priority message arrives in any monitored session, the system provides feedback to the operator through notifications or prominent display, allowing operators to switch contexts while ensuring they don't miss important messages from other sessions.
Data Source
AI summary
A system and method is provided for chat message prioritization that uses a combination of machine-derived and user-supplied relevancy criteria to present a filtered, annotated, and/or highlighted chat stream.