Application-Level Operating System for Chronotype-Based Information Filtering
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Solution Overview
Problem
Existing personal device technologies overwhelm users with information, lacking a means for efficiently managing and integrating resources and technologies, leading to inefficient interaction and brain changes.
Innovation Solution
An application-level operating system with an AI engine that generates user experiences (UX) based on chronotype, application data, and device data, integrating modules for calendar, communication, health, finance, and availability, and utilizing influencer and relationship data to create personalized UX.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If personal device technology advances to provide more resources and functionalities, then user capability and productivity are improved, but information overload and user complexity increase
Solution Approach 1:
The AI engine automatically manages device resources, schedules applications, and curates content based on user chronotypes without requiring manual user input. The system self-adjusts to user patterns, eliminating the need for users to manually manage complexity while maintaining high productivity capabilities.
Solution Approach 2:
The AI engine acts as an intermediary layer between the user and the complex device ecosystem. It translates user chronotypes into optimized resource allocation, schedules, and content delivery, filtering out information overload while preserving essential functionalities.
2Adaptability or versatility
If the system integrates multiple modules and data sources to provide comprehensive functionality, then adaptability is improved, but system complexity increases
Solution Approach 1:
The AI engine serves multiple functions simultaneously: it analyzes chronotype data, schedules applications, manages resources, curates content, and coordinates communication. This multi-functional approach consolidates what would otherwise require separate complex systems into a single unified engine, maintaining adaptability while reducing overall system complexity.
Solution Approach 2:
The patent combines multiple modules (calendar, communication, health, finance, availability) into a unified system managed by the AI engine. By merging these modules under a common chronotype-driven framework, the system achieves comprehensive functionality while sharing common processing logic and data structures, thereby reducing complexity.
3Ease of operation
If the system processes and integrates multiple data types to create personalized UX, then user experience quality is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary analysis of user chronotypes and pre-schedules applications and content based on predicted user needs. By preparing resources in advance according to chronotype patterns, the system reduces real-time processing requirements while maintaining high-quality personalized experiences.
Solution Approach 2:
The AI engine changes processing parameters dynamically based on user chronotypes. Different chronotypes trigger different processing intensities and timing strategies, allowing the system to optimize between processing speed and personalization quality for each user profile rather than using a one-size-fits-all approach.
Data Source
AI summary
An application-level operating system may include a device module, an application module, a UX module, and a display module. The device module may communicate with a native operating system of a device on which the application-level operating system is installed. The application module may communicate with a plurality of applications installed on the device. The UX module may generate a UX based on device data communicated from the native operating system to the application-level operating system and application data communicated from the plurality of applications. The display module may generate a UI on the device based on the UX.