Customized Response Messages Using Relationship and Calendar Data
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Solution Overview
Problem
Pre-created response messages are inadequate as they fail to convey the recipient's availability and estimated response time, leading to social awkwardness and miscommunication, as they lack personalization based on the relationship and historical interactions between individuals.
Innovation Solution
A computer-implemented method and system that generates customized response messages by determining the relationship between the initiator and recipient based on previous correspondence, including frequency, type, timing, vernacular, and calendar availability, to provide an estimated response time, thus tailoring the message to the specific context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If pre-created response messages are used, then communication speed is improved, but personalization and information completeness deteriorate
Solution Approach 1:
The system pre-analyzes relationship data, calendar availability, and historical interaction patterns before a communication request arrives. When an incoming request is received, the response message is automatically generated using pre-computed relationship metrics and availability information, enabling rapid response without manual intervention while maintaining personalization and information completeness.
Solution Approach 2:
The system continuously learns from historical correspondence data, calendar updates, and interaction patterns. This feedback loop refines relationship metrics and availability predictions over time, allowing the auto-generated responses to become increasingly personalized and accurate while maintaining fast response times.
2Ease of operation
If pre-created response messages are used, then ease of operation is improved, but adaptability to different relationships deteriorates
Solution Approach 1:
The system tailors each response message to the specific relationship between the recipient and initiator by analyzing relationship-specific data such as communication history, preferred contact methods, and interaction patterns. Each relationship receives customized treatment with appropriate tone, medium, and timing based on its unique characteristics, while the system remains easy to operate through automatic generation.
Solution Approach 2:
The response message characteristics dynamically adapt based on real-time relationship metrics and calendar availability. The system adjusts the tone, format, and timing of responses according to the current state of the relationship and the recipient's availability, enabling versatile adaptation across different relationship types while maintaining operational simplicity.
3Measurement precision
If calendar availability is analyzed, then response time accuracy is improved, but system complexity increases
Solution Approach 1:
The system pre-integrates with calendar services to continuously monitor and store availability information before communication requests arrive. By having availability data ready in advance, the system can accurately estimate response times without complex real-time calculations, maintaining precision while managing complexity through proactive data preparation.
Data Source
AI summary
Generation of customized response messages is described. According to the method, an incoming communication request is received and a relationship between an initiator of the communication request and a recipient of the communication request is determined. Based on a number of calendars for the recipient, an availability of the recipient is determined. When the recipient is unavailable, a customized response message is generated. The customized response message 1) is based on the relationship between the initiator and the recipient and 2) indicates an estimated response time for the recipient based on the availability of the recipient.