Context-Driven Cross-Protocol Communication Delivery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current communication systems are fragmented and restrictive, requiring users to choose a communication format and protocol before composing a message, which is not intuitive or user-friendly, especially when trying to send messages across multiple formats and protocols.
Innovation Solution
A multi-format communication composition system that allows users to select recipients and compose messages in any format, with the system determining the optimal delivery protocol and format based on context factors, using a central service like the Optimal Decision Engine to ensure seamless delivery across various protocols and formats.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually select communication format and protocol before composing a message, then system control over delivery is improved, but user convenience and ease of operation deteriorates
Solution Approach 1:
The system performs self-service by automatically determining the optimal delivery protocol and format without requiring manual user selection. The communication system analyzes recipient information and message characteristics to autonomously choose the best delivery method, eliminating the need for users to manually configure delivery parameters while maintaining reliable delivery.
Solution Approach 2:
The system dynamically changes delivery parameters such as protocol type and message format based on real-time analysis of recipient preferences and message characteristics. This allows the system to adapt delivery parameters automatically, improving both user convenience and delivery reliability by selecting optimal parameters without manual intervention.
2Ease of operation
If the system automatically determines optimal delivery protocol, then ease of operation is improved, but device complexity increases
Solution Approach 1:
An intermediary decision-making module is introduced between the user and the delivery system. This intermediary component automatically analyzes recipient information and message characteristics to determine the optimal delivery protocol, shielding users from system complexity while maintaining high ease of operation through automated intelligence.
Solution Approach 2:
The system employs a universal decision engine that handles multiple delivery scenarios and protocol types through a single integrated mechanism. This multi-functional approach manages complexity internally while presenting a simple unified interface to users, improving ease of operation without proportionally increasing user-perceived complexity.
3Adaptability or versatility
If messages are converted to multiple formats for different protocols, then adaptability is improved, but processing time and loss of time increases
Solution Approach 1:
The system performs preliminary analysis of recipient preferences and message characteristics before message composition begins. By pre-determining the optimal delivery protocol and format, the system eliminates the need for time-consuming format conversion during the message sending process, thereby reducing processing time while maintaining high adaptability across multiple formats.
Solution Approach 2:
The system dynamically selects the appropriate message format and protocol based on real-time analysis of recipient information and message characteristics. This dynamic adaptation allows the system to optimize delivery parameters for each specific communication scenario, improving multi-format support while minimizing processing time through intelligent, context-aware decision-making.
Data Source
AI summary
This disclosure relates generally to apparatus, methods, and computer readable media for composing communications for computing devices across multiple formats and multiple protocols. More particularly, but not by way of limitation, this disclosure relates to apparatus, methods, and computer readable media to permit computing devices, e.g., smartphones, tablets, laptops, and the like, to send communications in a number of pre-determined and/or ‘determined-on-the-fly’ optimal communications formats and/or protocols. Determinations of optimal delivery methods may be intelligently based on the sender individually or the relationship with the sender in the context of a group of recipients—including the format of the incoming communication, the preferred format of the recipient and/or sender, and an optimal format for a given communication message. The techniques disclosed herein allow communications systems to become ‘message-centric’ or ‘people-centric,’ as opposed to ‘protocol-centric,’ eventually allowing consideration of message protocol to fall away entirely for the sender of the communication.