Context-Driven Interaction Models for User Data Management
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Solution Overview
Problem
Current computer-implemented systems are inflexible and unable to effectively manage and organize information exchanged among multiple users and varied computing and data sources, leading to information overload, disorganization, and security issues, particularly in managing context-driven interactions.
Innovation Solution
The development of computer-implemented systems and methods that generate and control context-driven interaction models, allowing for precise management of user interactions through interaction models, which include user roles and functional elements, enabling organized data exchange and improved access control across multiple sessions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If extant computer-implemented systems are used to manage information exchange among multiple users and data sources, then information exchange capability is enabled, but information overload and disorganization occur
Solution Approach 1:
The patent segments information into contextual groups based on interaction sessions and user roles. The interaction model divides the information space into structured components (sessions, interactions, data sources) that can be independently managed and organized, preventing information overload while maintaining exchange capability.
Solution Approach 2:
The interaction model serves as an intermediary layer between multiple users and data sources. It mediates information exchange by filtering, organizing, and contextualizing data flows, thereby enabling versatile communication while maintaining information organization through the structured model framework.
2Adaptability or versatility
If multiple technologies and platforms are used to facilitate communications, then communication flexibility is improved, but compatibility issues and infrastructural challenges arise
Solution Approach 1:
The interaction model is designed as a universal framework that can accommodate multiple technologies and platforms. It provides a common structure and language for different systems to interact, enabling communication flexibility while resolving compatibility issues through standardized interaction patterns and data exchange protocols.
3Quantity of substance
If database systems store only limited information about data (filename, date, author), then storage efficiency is improved, but context determination becomes impossible
Solution Approach 1:
The patent implements a nested structure where context information is embedded within the interaction model that encompasses the stored data. The model contains sessions, which contain interactions, which contain data references. This nested organization preserves context without requiring separate extensive metadata storage, maintaining storage efficiency while enabling context determination.
4Device complexity
If extant systems manage user interactions without structured models, then system simplicity is maintained, but control and management precision deteriorates
Solution Approach 1:
The interaction model provides dynamic control over user interactions while maintaining system simplicity. The model can be configured with different levels of detail and control mechanisms appropriate to each interaction type. It enables precise control when needed while allowing flexible, model-free operations for simpler cases, thus balancing simplicity with control precision.
Data Source
AI summary
Computer-implemented systems and methods are provided for modeling, executing, and controlling context-driven user interactions. In some embodiments, systems and methods are provided for modeling user interactions and generating interaction models. Each generated interaction model may be executable for controlling a context-driven user interaction. The interaction model may include data identifying one or more interaction objects and one or more modules that are executable in session(s) of the modeled interaction.