Location-Adaptive GUI Layout for Context-Relevant Data Display
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional graphical user interfaces (GUIs) lack flexibility to adjust their layout and interactive elements in response to changes in location or context, leading to a static and less intuitive user experience.
Innovation Solution
An apparatus and method for modifying a GUI based on real-time location data and external data sources, utilizing a machine learning model to predict the relevance of interface components and adjust their placement, ensuring the GUI adapts to user interaction patterns and regulatory compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a traditional static GUI is used, then the device complexity is low, but the adaptability to different locations and contexts is poor
Solution Approach 1:
The GUI transitions from a static layout to a dynamic one that automatically adjusts its configuration based on real-time location data and context. The interface elements, their positions, and displayed content are continuously modified in response to changing environmental parameters, making the system adaptive without requiring complex manual reconfiguration.
Solution Approach 2:
The GUI system automatically retrieves location data from external sources, processes it through machine learning models, and reconfigures itself without user intervention. The interface serves itself by autonomously adapting its layout and content based on the current context, eliminating the need for users to manually adjust settings for different locations.
2Ease of operation
If the GUI is made static and simple, then the ease of operation is maintained, but the user engagement and relevance of displayed information decrease
Solution Approach 1:
The GUI applies different display qualities and information priorities based on the user's specific location and context. Rather than uniformly simplifying or complicating the interface, the system tailors the presentation of information to local needs, displaying highly relevant content prominently while maintaining overall operational simplicity.
Solution Approach 2:
The system dynamically changes parameters such as displayed content, element positioning, and information hierarchy based on location data and machine learning predictions. These parameter adjustments enhance user engagement by presenting relevant information without requiring users to navigate complex interface structures.
3Adaptability or versatility
If the GUI layout is dynamically adjusted based on location data, then the adaptability improves, but the device complexity and processing requirements increase
Solution Approach 1:
Machine learning models are trained in advance on datasets containing location information and corresponding optimal GUI configurations. This preliminary training allows the system to make rapid, informed decisions about interface adaptation without performing complex calculations in real-time, reducing the processing burden during actual use.
Solution Approach 2:
The patent introduces external data sources and machine learning models as intermediaries between location data and GUI configuration. These intermediaries process and interpret raw location information, translating it into actionable interface adjustments, thereby simplifying the overall system architecture and reducing direct processing complexity.
Data Source
AI summary
An apparatus including a graphical user interface (GUI) for displaying and modifying data elements based on user input and location data, the apparatus including at least a processor; and a memory configuring the at least a processor to receive input data objects from external data sources, wherein the input data objects include structured and unstructured data, geospatial coordinates, and metadata, modify the GUI based on the received input data objects, wherein the GUI modification includes reconfiguring the GUI to modify display hierarchy of interactive elements based on the input data objects, and configure a display device, using the reconfigured GUI, to display modified interface components.