Message Client Private State Transition
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Solution Overview
Problem
Existing message exchange systems, such as chat and email clients, require manual user intervention to transition into and out of a private state, leading to accidental retention or exposure of sensitive information.
Innovation Solution
Implementing techniques to automatically transition message exchange clients into and out of a private state based on signals from message content, participant behavior, and historical data, using machine learning models to determine the likelihood of sensitive information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual transition to private state is implemented, then user control over privacy is improved, but user interaction and processing requirements increase
Solution Approach 1:
The system automatically transitions to private state by monitoring message content for sensitive keywords and patterns, eliminating the need for manual user intervention. The application serves itself by detecting when private mode should be activated based on the sensitivity of the conversation.
Solution Approach 2:
The system continuously monitors message exchange content and provides feedback by automatically adjusting privacy state. When sensitive information is detected through keyword analysis, the system responds by transitioning to private state, creating a closed-loop feedback mechanism that adapts privacy settings based on conversation content.
2Reliability
If automatic transition to private state is implemented, then security of user data is improved, but device processing requirements increase
Solution Approach 1:
The system applies privacy protection selectively rather than globally. It analyzes message content locally for sensitive keywords and patterns, transitioning to private state only when necessary. This localized approach processes only relevant portions of communication, reducing overall computational burden while maintaining security where needed.
Solution Approach 2:
The system changes the privacy state parameter dynamically based on message content analysis. By monitoring for sensitive keywords and patterns, the system transitions between public and private states as needed, adjusting the level of protection based on the sensitivity of the specific conversation rather than maintaining constant high-level security.
3Reliability
If manual transition out of private state is required, then user control is improved, but risk of accidental information loss increases
Solution Approach 1:
The system monitors conversation content and provides feedback by automatically transitioning out of private state when sensitivity is no longer detected. This feedback mechanism ensures that private state is maintained only as long as necessary, preventing accidental information loss while preserving user control through automated decision-making.
Solution Approach 2:
The system takes preliminary action by continuously monitoring message content for indicators that private state should be exited. When non-sensitive content is detected, the system proactively transitions out of private state before the user would need to manually do so, preventing information loss while maintaining appropriate privacy protection.
Data Source
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AI summary
This specification is generally directed to techniques for automatically transitioning applications—especially those that enable exchange of messages between users—into and/or out of a private state based on a variety of signals associated with the messages and/or the participants themselves. In various implementations, an ongoing message exchange thread between two or more participants operating two or more respective message exchange clients may be examined. Based at least in part on the examining, a likelihood may be determined that message(s) directed by one of the participants to another of the participants as part of the ongoing message exchange thread would be deemed private by at least a given participant of the two or more participants. A determination may be made of whether the determined likelihood satisfies one or more thresholds, and in response, one or more of the message exchange clients may be transitioned into a private state.