Optimization Interface for Dynamic Data Visualization
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Solution Overview
Problem
Current user interfaces for data processing are inefficient, as they often present large amounts of data in difficult-to-understand formats and require numerous user interactions, leading to slow processing speeds and limited cognitive and ergonomic efficiencies.
Innovation Solution
A computer system with an improved user interface that includes input elements for receiving data file identifiers, optimization targets, constraints, and contribution models, allowing for dynamic and interactive optimization of data visualization, enabling efficient data processing and presentation through graphical representations and reduced user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If current user interfaces present large amounts of data, then data completeness is improved, but data comprehensibility deteriorates
Solution Approach 1:
The patent segments large datasets into hierarchical groups and categories, allowing data to be organized in manageable sections. The interface divides comprehensive data into structured hierarchies that can be explored progressively, maintaining completeness while improving comprehensibility through organized presentation.
Solution Approach 2:
The patent introduces multiple dimensions for data presentation including hierarchical levels, filtering criteria, and visual organization methods. By adding these dimensional layers, the interface transforms flat large-scale data into multi-dimensional structured information that is easier to comprehend while retaining completeness.
2Manufacturing precision
If current user interfaces require many user interactions to perform operations, then operation precision is improved, but processing speed deteriorates
Solution Approach 1:
The patent implements preliminary actions by pre-configuring optimization parameters, constraints, and contribution models before data processing begins. The system prepares computational frameworks and data structures in advance, reducing the number of interactions needed during actual operations while maintaining precision through pre-validated configurations.
Solution Approach 2:
The patent enables self-service through automated optimization algorithms that perform data processing without requiring numerous user interactions. The system autonomously executes optimization routines, adjusts parameters, and generates results based on pre-defined models, significantly improving processing speed while maintaining operation precision through algorithmic accuracy.
3Loss of information
If current user interfaces show large amounts of data in detailed formats, then information completeness is improved, but cognitive load deteriorates
Solution Approach 1:
The patent implements dynamic data presentation that adapts to user needs and context. The interface can dynamically adjust the level of detail, aggregation, and visualization based on user interactions and preferences, maintaining information completeness while reducing cognitive load through adaptive presentation tailored to individual user requirements.
Solution Approach 2:
The patent applies local quality by providing different levels of data detail in different interface regions or contexts. Critical information receives detailed presentation while less critical areas use summarized views, allowing the interface to maintain overall information completeness while reducing cognitive load through strategically placed detail levels throughout the interface.
4Measurement precision
If current user interfaces require multiple user inputs to process data, then operation accuracy is improved, but ease of use deteriorates
Solution Approach 1:
The patent implements multi-functionality through unified input mechanisms that handle multiple operation types through single interactions. The interface consolidates various data input, filtering, and optimization commands into integrated workflows, maintaining operation accuracy through comprehensive validation while improving ease of use by reducing the number of separate input actions required.
Data Source
AI summary
User interfaces are provided for improved data optimization. A model user interface can be used to generate models based on a historical data file based on modeling details and filters specified by a user. The user can save the models and apply the models to optimize a data file. The user can specify optimization details and see visualizations of the results.