AI Interface Unifying Activity-Specific Content Views
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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, such as emails, images, and tasks, due to inefficiencies in search tools and the need for users to interact with multiple applications, leading to resource wastage and inadvertent user inputs.
Innovation Solution
An AI-driven human-computer interface that associates low-level content with high-level activities using topics as abstraction, enabling the computing system to provide activity-specific views and auto-generate applications for presenting relevant content in a contextually relevant format, reducing the need for multiple application interactions and improving resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users interact with multiple applications to locate relevant information, then search accuracy can be improved, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent merges multiple applications into a unified interface that presents activity-specific views. Instead of requiring users to switch between separate applications (emails, calendar, tasks, files), the system combines all these data sources into a single cohesive interface organized by activity contexts, thereby improving resource utilization while maintaining search accuracy through intelligent content selection and arrangement.
2Loss of information
If users manually compile content from multiple applications, then information completeness can be improved, but time consumption increases
Solution Approach 1:
The system performs preliminary actions by automatically selecting and arranging relevant content from multiple applications before the user needs it. The AI engine proactively identifies activity-specific content and pre-organizes it in the activity-specific view, eliminating the need for users to manually compile information while ensuring information completeness.
Solution Approach 2:
The system serves itself by automatically curating and presenting relevant content without requiring user intervention to gather information from multiple sources. The AI engine autonomously selects content based on activity contexts and arranges it in the unified interface, allowing the system to perform the compilation task that would otherwise require manual user effort.
3Ease of operation
If general search tools are used to find specialized content, then ease of operation can be improved, but information relevance deteriorates
Solution Approach 1:
The patent applies local quality by customizing the interface and content arrangement according to specific activity contexts. Instead of using a generic search interface for all queries, the system creates activity-specific views that are locally optimized for each context (e.g., marathon training, work projects, personal events), thereby improving information relevance while maintaining ease of operation through intuitive activity-based navigation.
Data Source
AI summary
An artificial intelligence (“AI”)-based system is disclosed for presenting activity-specific views of relevant activity-specific content. An AI engine selects activity-specific content relating to a multitude of activities. The selected activities can have associated relevance scores exceeding a predefined threshold value. The selected activity-specific content can be used to render user interface (“UI”) elements in a UI for the activities. The UI elements present an activity-specific view of the activity-specific content relating to each activity.