Message Propriety Determination and Alert Presentation
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Solution Overview
Problem
Existing electronic messaging technologies often result in unintended messages being sent to incorrect recipients or with inappropriate content, leading to potential embarrassment and negative consequences, as current recall mechanisms are often ineffective and can notify the recipient, exacerbating the issue.
Innovation Solution
A system that analyzes previously sent messages to determine the probability of a new message being appropriate by comparing it to user and group message models, generating notifications if the message is likely to be outside these parameters, thereby alerting the user before sending.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If message recall functionality is used to correct sent messages, then the sender can attempt to fix the mistake, but the recall often fails and notifies the recipient, causing further embarrassment
Solution Approach 1:
The system performs preliminary analysis of the message content and recipient information before the message is sent. It compares the intended recipient with contact lists, analyzes message content against inappropriate content databases, and evaluates group composition before sending occurs, allowing correction to be made prior to delivery rather than attempting recall after the fact.
Solution Approach 2:
The system provides immediate feedback to the user about potential issues with the message before sending. It analyzes the message in real-time, identifies problems such as incorrect recipients or inappropriate content, and presents warnings or suggestions for correction, enabling the user to make informed decisions about whether to proceed with sending.
2Measurement precision
If the system analyzes message content and recipient information before sending, then message propriety can be determined, but this requires access to detailed user data and message content
Solution Approach 1:
The analysis system is divided into separate functional components: recipient analysis (comparing intended recipient with contact lists), content analysis (checking against inappropriate content databases), and group composition analysis. Each component processes specific aspects of the message independently, allowing comprehensive analysis while maintaining clear data handling boundaries and privacy protections for different types of information.
3Ease of operation
If the system provides detailed warnings about message issues, then users can be alerted to potential problems, but this may increase user anxiety or embarrassment
Solution Approach 1:
The system provides warnings selectively based on the severity and type of issue detected. For minor issues, it may provide subtle notifications or suggestions, while for serious problems it presents more prominent warnings. The warning intensity is calibrated to be sufficient to alert the user to the problem without being excessively alarming, allowing the user to correct the issue without undue embarrassment.
Data Source
AI summary
Technology is disclosed for controlling the presentation of electronic messages on personal computing devices (i.e., user devices). The technology reviews a first electronic message to be sent. The technology determines any of a set of previously received electronic messages that are related to the first electronic message, and comparing the first electronic message to be sent to the determined set of previously received electronic messages related to the first electronic message. Based at least on the comparing, the technology compares the propriety of sending the first electronic message. The previously received electronic messages may be, in some embodiments, a user message model or a group message model. Embodiments also include generating an alert of the potential for the first electronic message to be outside the parameters of the user model, the message model or the group message model.