Contextual User Experience System for Adaptive Interface Generation
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Solution Overview
Problem
Current user experiences (UXs) are static, passive, and fail to adapt to individual user contexts, situations, and interactions, not leveraging contextual data for personalized experiences, especially in multi-user workflows.
Innovation Solution
A dynamic user experience system that analyzes contextual information, including user interactions, biometric data, and environmental sensors to generate and display personalized and adaptive UXs, continuously updating based on user inputs and interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a static user experience is provided to all users, then system simplicity is maintained, but user personalization and contextual adaptation are lost
Solution Approach 1:
The patent implements a dynamic user experience system that continuously adapts the UI based on contextual information from multiple sources including biometric sensors, environmental sensors, and user interaction data. The system transitions from static screens to dynamic screens that automatically reconfigure based on real-time context, resolving the contradiction by making the system adaptive without requiring complex manual configuration.
Solution Approach 2:
The system employs machine learning models that automatically learn user preferences, behaviors, and contextual patterns without explicit user programming. The UX system self-adjusts by processing contextual data and generating personalized interfaces autonomously, reducing the need for complex user setup while achieving high personalization.
2Ease of operation
If users must actively interact with the system to access information, then system resource usage is minimized, but user convenience and ease of operation deteriorate
Solution Approach 1:
The system proactively analyzes contextual information from multiple sensors and data sources in advance to predict user information needs before users actively search for them. The UX pre-prepares and presents relevant information based on predicted needs, eliminating the need for users to actively navigate and search, thereby improving convenience while the system handles the processing load.
Solution Approach 2:
The system continuously monitors user interactions, biometric responses, and contextual changes to dynamically adjust the UX in real-time. This feedback loop enables the system to understand and respond to user needs automatically, improving ease of operation by making the system responsive without requiring complex user actions.
3Adaptability or versatility
If a single user experience is designed, then design and maintenance simplicity is maintained, but multi-user workflow support and contextual relevance are reduced
Solution Approach 1:
The patent creates a universal UX framework that serves multiple users and contexts through a single system design. The system processes contextual information from various sources and dynamically adapts the interface for different users, roles, and situations without requiring separate UX designs for each user. This resolves the contradiction by making one UX system serve many users through intelligent adaptation.
Solution Approach 2:
The UX system dynamically reconfigures itself based on the current user's context, role, and situation rather than maintaining static user-specific designs. The system learns from user interactions and contextual data to automatically adjust the interface, enabling multi-user support through a single dynamic UX that adapts in real-time without requiring complex pre-configured user profiles.
Data Source
AI summary
The present disclosure is directed to a contextual user experience (UX) that utilizes contextual information such as artifacts including quanta of data accessible to the contextual UX, user input, and information retrieved from other sources to determine relevant correlations of interest to the user, which may then be generated and displayed on a computing device. Also described is a method and system for a contextual UX that may generate related but personalized contextual UXs for participants in a shared interaction according to each user's context.