Personal Messaging Assistant Prevents Inadvertent Sending
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Solution Overview
Problem
Existing messaging systems lack an intelligent mechanism to prevent inadvertent sending of messages to wrong recipients, which can lead to relationship damage, business losses, or legal issues due to mismatched message context and recipient relationships.
Innovation Solution
A personal messaging assistant system that intercepts outgoing messages, analyzes the message context and relationship between the sender and recipient using social networking profiles, LDAP directories, and contact lists, and provides warnings or alerts for potential mismatches, allowing users to take corrective action.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If messaging systems use simple store-and-forward model without intelligence analysis, then messaging speed and simplicity are maintained, but message accuracy and relationship appropriateness deteriorate
Solution Approach 1:
The patent introduces a personal messaging assistant as an intermediary component between the user and the messaging system. This assistant analyzes message context, determines recipient relationships, and provides warnings before messages are sent. The intermediary approach maintains the simplicity of the core messaging system while adding intelligence where needed to improve message accuracy and prevent inappropriate communications.
Solution Approach 2:
The system performs preliminary analysis of message context and recipient relationships before the actual message transmission occurs. By determining the relationship between sender and recipient and analyzing message context in advance, the system can warn users of potential mismatches before they happen, allowing corrective action to be taken without delaying the messaging process itself.
2Reliability
If the system provides comprehensive message analysis and warnings, then message accuracy improves, but user convenience and operation speed deteriorate
Solution Approach 1:
The system implements feedback by providing warnings to users when a mismatch between message context and recipient relationship is detected. The feedback is contextual and informative, explaining why a warning is issued. Users can then decide whether to modify the message, change the recipient, or proceed anyway. This feedback mechanism maintains ease of operation by giving users control while improving message accuracy through informed decision-making.
Solution Approach 2:
The system applies partial action by only providing warnings when mismatches are detected, rather than requiring user confirmation for every message. This selective approach maintains ease of operation for routine communications while still providing safety checks when needed. The system balances comprehensive analysis with user convenience by intervening only when necessary.
3Reliability
If the system learns from user behavior to refine warnings, then message accuracy and user satisfaction improve, but system complexity and processing time deteriorate
Solution Approach 1:
The personal messaging assistant implements self-service by learning from user responses to warnings and automatically refining its warning criteria. When users consistently override warnings for certain types of messages or recipients, the system adapts by adjusting its sensitivity for those cases. This self-learning capability improves message accuracy and user satisfaction over time while keeping processing time minimal, as the learning occurs in the background without requiring additional user input or complex real-time processing.
Data Source
AI summary
Various systems and methods for a personal messaging assistant system are described herein. A personal messaging assistant system comprises a display; a processor; and a memory, including instructions, which when executed on the processor, cause the processor to perform the operations comprising: receiving an indication to transmit a message from a sender, the message including a recipient and a body; determining a relationship between the sender and the recipient; determining a message context based on the body; determining whether the message context is consistent with the relationship; and presenting on the display, a warning when the message context is not consistent.


