Intelligent Communication Disconnect Using Disconnection Cues
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Solution Overview
Problem
Users often forget to manually end ongoing communications, leading to unintended overhearing of private conversations and unnecessary power consumption due to active but unused connections.
Innovation Solution
An apparatus and method that detect disconnection cues, such as specific phrases or sensor inputs, to automatically disconnect from communications, including associating disconnection phrases with users and considering mute settings and hold status, to ensure timely and secure disconnection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual disconnection is required, then user control is maintained, but users may forget to disconnect leading to privacy issues and power waste
Solution Approach 1:
The system automatically detects disconnection cues (phrases like 'goodbye', sensor inputs indicating device placement) and executes disconnection without user intervention, making the system self-serve the disconnection function
Solution Approach 2:
The system continuously monitors communication status and user behavior patterns, providing feedback through cue detection to determine when disconnection should occur, creating a closed-loop control system
2Loss of energy
If automatic disconnection is implemented, then power consumption is reduced and privacy is protected, but false disconnection may occur during active communication
Solution Approach 1:
The system learns and stores disconnection cues in advance through user associations (e.g., specific phrases or sensor patterns linked to particular users), enabling accurate prediction of when disconnection is intended before it actually occurs
Solution Approach 2:
The system adjusts disconnection sensitivity parameters based on learned user behaviors and communication contexts, changing the threshold for triggering automatic disconnection to reduce false positives
3Measurement precision
If disconnection phrases are associated with specific users, then disconnection accuracy is improved, but system complexity increases
Solution Approach 1:
The system automatically learns and associates disconnection cues with users through observed communication patterns, eliminating the need for manual configuration and reducing user burden despite increased functional complexity
Data Source
AI summary
An apparatus, method, system, and program product are disclosed for intelligent communication disconnect. A monitor module is configured to detect a disconnection cue during an ongoing communication between a plurality of users. The disconnection cue includes a disconnection phrase that indicates the completion of the ongoing communication. A disconnection module is configured to disconnect from the ongoing communication in response to the disconnection cue.