Dynamic Visual Coding for Geotemporal Web Content Retrieval
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing user interface design techniques lack a systematic approach to dynamic visual coding, fail to consider user feedback, and do not adequately adapt to temporal and geographical factors, leading to inadequate comprehension of complex content and inefficient workflow support.
Innovation Solution
A system that enhances user interaction by applying dynamic visual coding based on temporal, geographical, and activity-driven attributes, using color, textures, and ornaments, with mechanisms for user feedback and adaptive visual coding sequences, including facial recognition for emotional state assessment and repository-based retrieval of coded content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static visual coding techniques are used, then implementation simplicity is maintained, but user interface comprehension and adaptability to temporal/geographical factors deteriorate
Solution Approach 1:
The patent implements dynamic visual coding where color codes, textures, and ornaments automatically adapt to temporal (time-based) and geographical (location-based) factors. The system transitions from static to dynamic visual attributes that change based on user context, device location, time of day, and environmental conditions, thereby improving adaptability without requiring complex manual configuration.
Solution Approach 2:
The system employs machine learning models and optimization algorithms that automatically generate and adjust visual coding schemes based on extracted color sets from photographs and user interactions. The visual coding system self-optimizes without requiring manual design intervention, reducing the burden on users while maintaining high adaptability to different contexts.
2Loss of information
If comprehensive visual coding with multiple attributes is applied, then user interface comprehension is improved, but information overload and processing complexity increase
Solution Approach 1:
The patent segments visual coding into distinct attributes (color codes, textures, ornaments) that can be independently applied and managed. Each attribute serves a specific function in encoding information, allowing the system to comprehensively represent complex content while maintaining organized, modular structure that reduces processing complexity.
Solution Approach 2:
Different visual attributes are applied to different portions of the user interface based on local requirements. Color codes may be applied to temporal indicators, textures to geographical markers, and ornaments to activity-based elements, allowing comprehensive information encoding without uniformly increasing complexity across the entire interface.
3Ease of operation
If user feedback mechanisms are integrated, then interactivity and adaptability are improved, but system complexity and computational requirements increase
Solution Approach 1:
The patent integrates user feedback mechanisms that capture user interactions, preferences, and behavioral patterns. This feedback is processed by machine learning models to dynamically adjust visual coding schemes, improving ease of operation and personalization. The feedback loop enables the system to adapt to individual user needs while maintaining manageable complexity through automated processing.
4Adaptability or versatility
If facial recognition and emotional state assessment are implemented, then user-centered adaptability is improved, but privacy concerns and system complexity increase
Solution Approach 1:
The patent processes facial recognition and emotional state data as temporary, ephemeral information that is analyzed in real-time and then discarded. The system does not store or retain sensitive biometric or emotional data, using it only for immediate visual coding adjustments. This approach enables user-centered adaptability while minimizing privacy risks by avoiding persistent storage of sensitive information.
Data Source
AI summary
Enhancing interactivity of a user with a portion of a web page includes providing visual codes for some items on the web page that are part of the portion of the web page. Each of the visual codes corresponds to temporal, geographical, content, activity, and/or behavior attributes of the at least some items. Enhancing interactivity also includes providing a user-actuatable mechanism on the web page to capture the portion of the web page and to create a visual code shortcut for each of the visual codes corresponding to the portion of the web page and storing the portion of the web page. The portion is stored in a repository that is indexed according to the visual code shortcuts. The portion of the web page is retrievable from the repository at a later time by accessing the visual code shortcuts. The portion of the web page may be a news page.