Personalized Information Aggregation Server for Sustained User Interaction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing mobile communication technologies lack the ability to facilitate richer, more passive, and sustained interactions between users, especially when geographically separated, and fail to provide seamless access to personalized content across different devices and platforms.
Innovation Solution
A personalized information communications system that allows users to store and share personalized data through an aggregation server, enabling continuous or semi-continuous display of this information across various devices, with features like user settings, display templates, and push/polling mechanisms for updated content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If traditional direct messaging (voice, text, email) is used, then communication between two parties is achieved, but the communication is limited to focused events and cannot provide richer sustained interactions
Solution Approach 1:
The system performs preliminary actions by pre-configuring display templates, personalization parameters, and communication channels before actual communication occurs. Users can set up their preferred display formats and content types in advance, so when communication happens, the system automatically adapts to the pre-established configuration without requiring real-time decisions about how to present information.
Solution Approach 2:
The communication system achieves universality by enabling the same message to be displayed across multiple device types (mobile phones, desktops, tablets) and multiple display formats simultaneously. The system serves multiple communication functions through a single unified platform, allowing text, audio, video, and personalized content to be delivered through various channels according to the recipient's device and preferences.
2Adaptability or versatility
If personalized information is collected and stored for each user, then relevant content can be provided to recipients, but the system complexity increases due to data aggregation and management requirements
Solution Approach 1:
The system applies local quality by customizing information presentation to match individual user preferences and device characteristics. Each user receives personalized content formatted according to their specific device type, display preferences, and communication history. The system maintains separate personalization profiles for different users and devices, allowing tailored experiences without requiring complete system redesign for each user scenario.
Solution Approach 2:
The system introduces an intermediary layer (the communication server with template engine) that mediates between raw data sources and final display outputs. This intermediary handles the complexity of data aggregation, template rendering, and format conversion centrally, shielding individual users and devices from the underlying system complexity while still enabling sophisticated personalization.
3Quantity of substance
If communication content is hidden within application and file system, then storage efficiency is improved, but access to content requires user interface actions and is not continuously available
Solution Approach 1:
The system extracts personalized content from the traditional hidden storage locations (application files and file system) and presents it through dedicated display templates on the user interface. By taking content out of its conventional hidden state and placing it in visible, accessible display formats, the system maintains storage efficiency while dramatically improving content availability and accessibility without requiring users to navigate through applications or folders.
4Adaptability or versatility
If multiple communication sources and devices are involved in concurrent communications, then communication richness is improved, but the ability to manage and integrate content across platforms is lost
Solution Approach 1:
The system merges multiple communication sources and content streams into a unified personalized display. Rather than managing separate content integration for each platform and device, the system combines all communication sources (text, audio, video, notifications) and presents them through integrated display templates that automatically adapt to each device's capabilities, simplifying the management of concurrent communications across diverse platforms.
Data Source
AI summary
A personalized information communications system enables a source user to provide personalized information in a datastore for access and display by a communications device of a recipient user. An aggregation server records user settings of the source user in a datastore, and collects personalized information of the source user into the datastore based on the user settings. The user settings specify at least one element of personalized information specified by the source user. In response to request from the recipient user, the aggregation server accesses and provides the personalized information of the source user to the recipient user. In one implementation, the communications device periodically polls the aggregation server for updated information associated with the source user. Alternatively, the aggregation server pushes the information to the communications device. Accordingly, the recipient user gains access to the personalized information of the source user.