Relationship Tool Interface for Capturing Heuristic Data
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Solution Overview
Problem
Integrating expert heuristic information into multi-variate modeling systems is challenging, as existing technologies find it difficult to effectively capture and incorporate user expertise or proprietary information into data modeling processes.
Innovation Solution
The development of enhanced user interfaces that allow users to input expert knowledge and adjust model weights and relationships between variables, enabling the integration of user-provided information to influence modeled data predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expert heuristic information is integrated into multi-variate modeling systems, then the accuracy and relevance of predictions are improved, but the device complexity and difficulty of operation increase
Solution Approach 1:
A relationship tool interface acts as an intermediary between expert heuristic information and the multi-variate modeling system. The tool captures user-defined relationships between variables through a graphical interface, transforming complex expert knowledge into structured data that the modeling system can process, thereby improving prediction accuracy without directly increasing system complexity
Solution Approach 2:
The relationship tool enables users to independently capture and input their own expert heuristic information about variable relationships without requiring complex system configuration or programming. Users can directly define relationships through an intuitive interface, allowing the system to self-adapt to expert knowledge without external intervention in the modeling architecture
2Measurement precision
If expert heuristic information is integrated into multi-variate modeling systems, then the relevance of predictions is improved, but the ease of operation deteriorates
Solution Approach 1:
The relationship tool serves as a user-friendly intermediary that simplifies the process of inputting expert heuristic information. It provides a graphical interface where users can visually define relationships between variables without needing to understand the underlying complex modeling algorithms, making the system easier to operate while capturing relevant expert knowledge
Solution Approach 2:
The system replaces complex manual configuration and programming operations with an automated relationship capture process. The relationship tool automatically processes user inputs about variable relationships and integrates them into the modeling system, substituting manual mechanical operations with automated computational processes that are easier to use
Data Source
AI summary
In accordance with various embodiments, a method is performed at an electronic device including a display device and one or more input devices. The method includes displaying, on the display device, a first graphing area presenting a plot of a first set of data points for a first variable versus a first set of data points for a second variable. The method includes displaying, on the display device, an indication of a relationship between the first variable and the second variable. The method includes detecting, via the one or more input devices, a user input indicative of change to the relationship between the first variable and the second variable. The method includes determining, based on the changed relationship between the first variable and the second variable, a second set of data points. The method includes displaying, on the display device, a second graphing area presenting a plot of the second set of data points.