Dynamic Alert Suppression Override via Communication Responsiveness
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Solution Overview
Problem
Existing electronic devices lack the ability to dynamically override alert suppressions based on prior user actions, which can lead to missed important communications, especially when attempting to contact someone whose alerts are currently suppressed.
Innovation Solution
A method that detects incoming communications and evaluates whether to override suppression by calculating a probability based on factors such as content similarity, time lapse, and number of communication attempts, allowing alerts to be dynamically overridden if the probability exceeds a user-defined or default threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If alert suppression is activated to avoid interruptions, then disturbance reduction is improved, but important responsive communications may be missed
Solution Approach 1:
The alert suppression system dynamically adjusts its state based on communication context. When a responsive communication is detected (one that is likely important), the system automatically overrides the suppression and activates alerts, even during Do Not Disturb periods. This dynamic behavior resolves the contradiction by making the suppression adaptive rather than static, ensuring important messages are not missed while maintaining disturbance reduction for non-critical communications.
Solution Approach 2:
The system analyzes incoming communications to determine responsiveness to prior user actions, using this feedback to decide whether to override suppression. By evaluating communication patterns, timing, and content relevance, the system creates a feedback loop that informs alert suppression decisions, thereby maintaining reliability for important communications while preserving disturbance reduction benefits.
2Ease of operation
If static alert suppression is used during preset periods, then ease of operation is improved, but adaptability to different communication scenarios deteriorates
Solution Approach 1:
The system transitions from static suppression to dynamic suppression that automatically adapts to different communication scenarios. While users can still easily activate suppression with a single action (maintaining ease of operation), the system now automatically adjusts alert behavior based on real-time communication analysis, making it adaptable to various scenarios without requiring complex user configuration.
Solution Approach 2:
The system performs self-adjustment by automatically analyzing incoming communications and determining whether to override suppression based on responsiveness to prior actions. This self-service capability allows the system to adapt to different communication scenarios autonomously, eliminating the need for users to manually configure different suppression rules for each scenario while maintaining ease of operation.
Data Source
AI summary
A suppression override engine on a user device may be configured to detect communication alert suppressions. An incoming communication from a third party may be detected. Upon detecting the communication, the suppression override engine can override the communication alert suppression if it determines that the incoming communication is responsive to a prior communication from the user device. By overriding the alert suppression the user is then alerted to the incoming communication.