W4 Communications Network Context-Aware Message Augmentation
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Solution Overview
Problem
Conventional messaging systems fail to utilize information related to senders and recipients to tailor messages, instead delivering messages in their original form without incorporating relevant data such as social, spatial, or temporal context.
Innovation Solution
The W4 Communications Network (W4 COMN) collects and analyzes data on 'Who, What, When, Where' interactions to enhance message delivery by inserting relevant content into messages based on recipient data, using a system comprising processors with engines for attribution, correlation, and message enhancement to dynamically determine delivery conditions and channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional messaging systems deliver messages in their original form without modification, then message delivery is simple and fast, but message relevance and personalization are poor
Solution Approach 1:
The system performs preliminary actions by collecting and storing recipient data (social, spatial, temporal, and logical data) before message delivery. This advance preparation enables the network to quickly retrieve and insert relevant content when a message is sent, resolving the contradiction between simple delivery and personalized content.
Solution Approach 2:
The network acts as an intermediary between the sender and recipient by collecting recipient data, analyzing message content, and inserting relevant augmented content. This intermediary role enables personalization while maintaining the simplicity of the original messaging interface for users.
2Adaptability or versatility
If the network collects and analyzes recipient data to create augmented messages, then message relevance is improved, but system complexity increases
Solution Approach 1:
The system segments the complex task of message augmentation into distinct functional modules: data collection (social, spatial, temporal, logical data), content analysis, content insertion, and delivery. This segmentation manages complexity by organizing functions into separate, manageable components that can operate independently.
Solution Approach 2:
The network infrastructure serves multiple functions: it acts as a communication channel, a data collection system, an analysis engine, and a content delivery platform. This multi-functionality reduces overall system complexity by consolidating multiple specialized systems into a single universal network infrastructure.
3Productivity
If augmented content is inserted into messages based on recipient data, then message effectiveness is improved, but information processing time increases
Solution Approach 1:
Recipient data is collected and stored in advance before messages are sent. This preliminary action allows the network to quickly retrieve pre-processed recipient information and insert relevant content without significant delays during actual message delivery, resolving the time effectiveness contradiction.
Solution Approach 2:
The system inserts only locally relevant content into messages based on specific recipient characteristics (social connections, current location, temporal context, message topic). This selective insertion of locally relevant information rather than comprehensive processing of all possible data reduces processing time while maintaining message effectiveness.
Data Source
AI summary
The disclosure describes systems and methods delivering communications associated with delivery conditions in which the occurrence of the delivery condition is determined by monitoring information received from a plurality of sources via multiple communication channels. The message delivery systems allow messages to be delivered to any “Who, What, When, Where” from any “Who, What, When, Where” upon the detection of an occurrence of one or more “Who, What, When, Where” delivery conditions. A message (which may be any data object including text-based messages, audio-based message such as voicemail or other audio such as music or video-based prerecorded messages) is delivered in accordance with delivery conditions based on any available data, including topical, spatial, temporal, and/or social data. Furthermore, because the systems coordinate delivery of messages via multiple communication channels and through multiple devices, the communication channel for delivery of a message may be dynamically determined based on the delivery conditions.