Behavior-Based Communication Scheduling for Secure User Interactions
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Solution Overview
Problem
Existing computer applications do not allow users to interact with others based on behavioral metrics and patterns to schedule future communication events and activities.
Innovation Solution
An electronic application that analyzes user and other users' behavioral metrics and patterns to recommend and facilitate secure communication schedules, ensuring interactions occur only through the application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing computer applications are used for user interaction, then basic communication functions are available, but users cannot leverage behavioral metrics and patterns to schedule future communication events
Solution Approach 1:
The system performs preliminary analysis of behavioral metrics and patterns to proactively generate communication schedules before users need to interact. The application analyzes past behaviors, predicts optimal communication timing, and automatically schedules future communication events, eliminating the need for users to manually determine when to communicate.
Solution Approach 2:
The system enables self-service communication scheduling by automatically analyzing user behaviors and generating personalized communication schedules without requiring manual intervention. The application serves itself by extracting behavioral patterns and autonomously determining optimal communication timing and frequency.
2Ease of operation
If manual communication scheduling is used, then users have control over timing, but additional computing resources and time are required for analysis and coordination
Solution Approach 1:
The system continuously monitors and analyzes communication behaviors, providing feedback that automatically adjusts future communication schedules. The application learns from past interactions and uses this feedback to optimize timing, reducing the need for manual analysis while maintaining user control through configurable preferences.
Solution Approach 2:
The system changes operational parameters by automatically adjusting communication timing based on analyzed behavioral patterns. Instead of fixed manual scheduling, the application dynamically modifies communication parameters such as timing, frequency, and optimal moment based on real-time behavioral data analysis.
Data Source
AI summary
An electronic communications method includes sending, by a user device, an electronic communication to a device. The electronic communications method further includes receiving, by the user device, an electronic confirmation message. The electronic communications method further includes sending, by the user device, electronic information. The electronic communications message further includes receiving, by the user device, a value. The value is based on electronically analyzing simultaneous electronic information being sent to the device. The electronic communications message further includes receiving, by the user device, an electronic recommendation message. The electronic recommendation message includes a recommended schedule of communications based on the score. The electronic communications method further includes sending, by the user device, an electronic request message based on the value and the electronic recommendation message.


