Context-Aware Call Notification System for Privacy
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Solution Overview
Problem
Existing call notification systems lack the ability to provide context-based reasons for non-response, leading to generic or inappropriate notifications being sent to other devices, which can be undesirable or misleading.
Innovation Solution
A device and method that analyze context information about a user's situation to determine the reason for non-response and adjust the notification message accordingly, considering the relationship between users before deciding whether to transmit the message, ensuring personalized and contextually relevant notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a generic notification message is transmitted when a user does not respond to a call request, then the notification can be sent quickly and simply, but the notification lacks context relevance and may be inappropriate for the user's situation
Solution Approach 1:
The system performs preliminary analysis of context information (user situation, relationship with caller) before generating the notification message. This allows the notification to be customized based on the user's current state while still being transmitted efficiently, resolving the contradiction between speed and contextual accuracy.
Solution Approach 2:
The notification message parameters are dynamically changed based on context analysis. The system adjusts the content, tone, and detail level of the notification according to the user's situation and relationship with the caller, transforming a static generic message into a dynamic context-aware message.
2Measurement precision
If context information analysis is performed to determine the reason for non-response, then the notification message becomes more accurate and relevant, but the processing time and system complexity increase
Solution Approach 1:
The context analysis process is segmented into distinct modules: obtaining context information, analyzing user situation, determining relationship with caller, and generating notification content. This modular approach manages system complexity by breaking down the complex analysis task into manageable, independent processing stages.
Solution Approach 2:
The system introduces an intermediary processing layer that bridges the simple call request reception and the complex notification generation. This intermediary layer handles context analysis and message customization, isolating the complexity from both the input and output operations.
3Loss of information
If the notification message includes detailed context information, then the communication quality improves, but user privacy may be compromised
Solution Approach 1:
The notification message provides locally optimized information quality based on the relationship between users. Close contacts receive more detailed context information, while strangers receive only generic notifications. This selective information disclosure maintains privacy while improving communication quality where appropriate.
Solution Approach 2:
The information disclosure parameters in the notification message are dynamically adjusted based on the relationship analysis. The system changes the level of detail, sensitivity, and personalization of the notification content according to the trust and relationship level with the caller, balancing information completeness with privacy protection.
Data Source
AI summary
Provided are an artificial intelligence system for simulating functions and so forth of human brains by using a mechanical learning algorithm. A method, performed by a device, of providing a notification message about a call request may include one or more of receiving the call request from another device, obtaining context information about a situation of a user if a user input accepting the call request is not received within a preset time, determining a reason for a non-response of the user by analyzing the context information, obtaining information about a relationship between the user and another user of the other device, generating a notification message describing the reason for the non-response based on the context information, determining whether to transmit the notification message to the other device based on the reason for the non-response and the information about the relationship, and transmitting the notification message to the other device based on the determination.