Unified AI Application for Activity-Specific Content Presentation
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Solution Overview
Problem
Existing personal information management systems face challenges in efficiently organizing and retrieving large volumes of diverse data types, leading to inefficiencies in user interaction and resource utilization due to the need for multiple applications and inaccurate search results.
Innovation Solution
An AI-driven human-computer interface that associates low-level content with high-level activities using topics as abstraction, enabling the generation of activity-specific views and auto-generating applications to present relevant content in a contextually relevant format, reducing the need for multiple applications and improving search accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users utilize multiple applications to locate and compile content relating to a particular context, then comprehensive content retrieval is achieved, but processor cycles, memory, battery power, and network bandwidth are inefficiently utilized
Solution Approach 1:
The patent merges multiple separate applications (email client, calendar, contacts, documents, images, videos) into a single unified application interface. This consolidation allows the system to present integrated activity-specific content from all these data sources without requiring users to switch between applications, thereby reducing redundant processor cycles, memory usage, battery power consumption, and network bandwidth utilization while maintaining comprehensive content retrieval capabilities
Solution Approach 2:
The unified application performs multiple functions simultaneously - it can retrieve and display emails, calendar events, contact information, documents, images, and videos within a single interface. This multi-functionality eliminates the need for separate specialized applications, optimizing resource utilization while providing comprehensive access to all types of personal information management data
2Reliability
If users interact with multiple applications to locate relevant information, then comprehensive data access is achieved, but the frequency of inadvertent user inputs increases
Solution Approach 1:
By combining multiple application interfaces into one unified application, the system reduces the complexity of user interactions. Users no longer need to switch between multiple applications, which minimizes the opportunities for inadvertent inputs such as accidental app switches, lost context, or incorrect data entry. The unified interface provides a consistent interaction model that improves ease of operation while maintaining comprehensive data access
3Quantity of substance
If general search tools are used to find data having specialized formats, then broad content coverage is achieved, but search accuracy and context representation deteriorate
Solution Approach 1:
The system applies local quality by providing specialized search and presentation capabilities for different types of content within the unified application. Rather than using a single generic search interface, the system adapts the search and display behavior based on the specific data type (email, calendar, contacts, documents, images, videos) and the user's current activity context. This ensures high search accuracy and relevant results for each specialized format while maintaining broad content coverage across all data types
4Reliability
If users compile content into a useable format from multiple applications, then contextual organization is achieved, but labor-intensive steps and time consumption increase
Solution Approach 1:
The system performs preliminary action by automatically organizing and presenting content in activity-specific formats without requiring manual compilation steps. When a user views their calendar events, the system proactively retrieves and organizes related emails, contacts, documents, images, and videos into a cohesive activity-specific view. This automatic preliminary organization eliminates the need for users to manually compile content from multiple sources, saving significant time and effort while maintaining high-quality contextual organization
Solution Approach 2:
The unified application provides self-service by automatically gathering, organizing, and presenting relevant content from all data sources based on the user's current context. The system monitors user activities and autonomously compiles the appropriate content in relevant formats without requiring manual intervention. This self-organizing capability maintains high content organization quality while eliminating labor-intensive compilation steps
Data Source
AI summary
An artificial intelligence (“AI”)-based system is disclosed for utilizing a schema to auto-generate an application for a specific context. An AI engine selects an activity schema associated with an activity. The schema identifies data sources for obtaining activity-specific content for the activity and can be selected based upon topics associated with the activity. The AI engine also selects a view definition that defines an arrangement of an activity-specific user interface (“UI”) for presenting relevant activity-specific content obtained from the data sources identified by the schema. An application is then generated using the schema and the view definition. The application can generate the activity-specific UI for presenting the relevant activity-specific content.