Context-Aware Call Rejection Message Generation
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Solution Overview
Problem
Users face inconvenience when rejecting calls as existing electronic devices require manual selection or creation of call rejection messages, which may not reflect the current situation, necessitating additional description.
Innovation Solution
An electronic device with a communication module and processor that detects the user's current situation and automatically creates a call rejection message, incorporating content such as schedule, navigation, or reservation information, using modules like a schedule detection module and a new message creator with grammar check engine.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a user manually selects or writes a call rejection message, then the user has control over the message content, but the message may not reflect the user's current situation and requires additional manual input
Solution Approach 1:
The system automatically detects the user's current situation through various sensors and applications, and self-generates appropriate call rejection messages without requiring manual user input. The processor detects schedule information, navigation status, and reservation details to autonomously create context-specific rejection messages.
Solution Approach 2:
The system performs preliminary detection of the user's current situation before the call rejection is needed. By continuously monitoring schedule information, navigation status, and reservation details in advance, the system prepares context-specific messages that can be immediately transmitted when a call comes in.
2Loss of information
If the electronic device automatically creates messages based on detected situations, then the messages reflect current situation accurately, but the device complexity increases
Solution Approach 1:
The processor performs multiple functions by integrating schedule detection, navigation status monitoring, reservation information retrieval, and message generation into a single processing unit. This multi-functional approach reduces the need for separate dedicated components for each function.
Solution Approach 2:
The system combines multiple detection functions (schedule detection module, navigation module, reservation module) and the message creation function into an integrated processing system. By merging these functions, the overall device complexity is managed more efficiently compared to having completely separate systems.
3Loss of information
If the user writes additional description for unsuitable messages, then the message accuracy improves, but the time required for message creation increases
Solution Approach 1:
The system automatically generates accurate, context-specific call rejection messages by detecting the user's current situation through various modules. This self-service approach eliminates the need for the user to spend time writing additional descriptions while maintaining high message accuracy.
Solution Approach 2:
The system performs preliminary detection and preparation of context-specific messages before the user needs to respond to a call. By detecting schedule information, navigation status, and reservation details in advance, the system eliminates the need for time-consuming message composition at the moment of call rejection.
Data Source
AI summary
A method and an apparatus for automatically creating a message in an electronic device are provided. The method includes detecting at least one current situation of a user of the electronic device and automatically creating a message comprising content reflecting the at least one current situation.


