Automated Messaging Platform for Missed Call Response Prediction
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Solution Overview
Problem
Current messaging systems do not automate the process of sending responses to missed calls, requiring users to manually compose and send messages, which is time-consuming and inefficient.
Innovation Solution
An automated messaging platform that predicts response options based on the content of incoming messages, allowing users to select and send pre-defined or customized messages with a single button, including text, music, pictures, or videos, across different operating systems and networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually compose and send messages after missed calls, then message content can be customized, but the process is time-consuming and inefficient
Solution Approach 1:
The system pre-generates multiple response message options based on the incoming message content before the user needs to reply. This preliminary preparation of response options eliminates the need for users to compose messages from scratch, significantly reducing the time required to send a response while maintaining customization through user selection.
Solution Approach 2:
The system creates copies of potential response messages based on the incoming message content and sends these copies to the user's device. Instead of requiring users to write original messages, the system provides pre-drafted message copies that can be quickly selected and sent, improving productivity while minimizing time loss.
2Loss of time
If automated messaging systems present pre-programmed options, then response time is reduced, but the system complexity increases
Solution Approach 1:
The system introduces an intermediary component that automatically generates response message options based on the incoming message content. This intermediary layer handles the complexity of message generation and option creation, while the user interface remains simple, allowing users to quickly select from presented options without encountering system complexity.
Solution Approach 2:
The automated messaging system performs self-service by automatically generating and presenting relevant response options without requiring user intervention in the message composition process. The system analyzes incoming messages and independently creates appropriate response options, reducing response time while managing system complexity through automation.
3Measurement precision
If predictive response options are generated based on message content, then response accuracy improves, but the processing time increases
Solution Approach 1:
The system generates a limited set of the most relevant response options rather than exhaustively analyzing all possible responses. By focusing on generating only the top predicted response options that are most likely to be useful, the system achieves high response prediction accuracy while minimizing processing time through selective rather than comprehensive message generation.
Data Source
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AI summary
Techniques for automatically prompting a calling user to send a message to a called user, the calling user using a calling device and the called user using a called device, the method including receiving, at a processor in the calling device, an indication that a call from the calling device to the called device has disconnected, determining, at the processor in the calling device, whether the call connected before receiving the indication that the call has disconnected, and in response to determining that the call did not connect before receiving the indication that the call has disconnected, determining that the call was a missed call. Methods and devices for automatically prompting a user with predictive message response options are also disclosed.