Adaptive Navigational Control Scheme Selection for Geometric Data

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Solution Overview

Problem

Existing user interface systems for navigating geometric representations in both two and three dimensions lack efficiency in configuring movement controls, as they fail to adapt dynamically to the geometric arrangement of data points, leading to suboptimal navigation and viewing experiences.

Innovation Solution

A method that calculates fit and confidence scores based on reference surfaces formed by data points to configure the navigational system to either a geometric, planar, or roaming control scheme, ensuring optimal control scheme selection by determining the geometric or planar fit and confidence scores relative to threshold values.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a single fixed control scheme is used for navigation, then the system is simple to implement, but it cannot adapt to different geometric arrangements of data points

Engineering Contradiction:
Improveadaptability to geometric arrangementVSAvoidcontrol scheme configuration complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The control scheme is made dynamic by automatically detecting the geometric arrangement of data points and switching between different control modes (geometric control, planar control, or roaming control) based on the detected structure. The system continuously monitors the spatial configuration and adapts the navigation behavior accordingly, transforming a static control system into a dynamic one that responds to data characteristics.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes control parameters based on geometric fit scores and confidence scores. When the geometric fit score exceeds a threshold, geometric control parameters are applied; when planar fit score is sufficient, planar control parameters are used; otherwise, roaming control parameters are activated. This parameter switching enables adaptation without requiring complex reconfiguration.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If multiple control schemes are implemented to handle different geometric representations, then navigation efficiency improves, but the complexity of configuring and switching between schemes increases

Engineering Contradiction:
Improvenavigation efficiencyVSAvoidcontrol scheme selection complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system employs feedback mechanisms where fit scores and confidence scores are calculated based on the current data arrangement, and these scores feed back into the control scheme selection decision. This closed-loop feedback automatically adjusts the control mode based on real-time geometric analysis, eliminating the need for manual configuration and reducing switching complexity.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The navigational system performs self-configuration by automatically detecting the geometric arrangement and selecting the appropriate control scheme without user intervention. The system calculates fit scores, compares them against thresholds, and autonomously switches control modes, making the complex configuration process self-service and transparent to the user.

Inventive Principle:
Principle #25Self-service

3Measurement precision

If the system calculates fit scores and confidence scores for multiple control schemes, then the accuracy of control scheme selection improves, but the computational time required increases

Engineering Contradiction:
Improvecontrol scheme selection accuracyVSAvoidcomputational time for score calculation
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary calculations of fit scores and confidence scores during the data processing stage, before the user needs to interact with the navigation system. By pre-computing these scores and storing the results, the system avoids repeated expensive calculations during actual navigation operations, reducing real-time computational time while maintaining high selection accuracy.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

Instead of calculating all possible control scheme scores exhaustively, the system uses partial action by calculating fit scores for the most likely control modes based on preliminary geometric analysis. This selective calculation approach reduces computational overhead while still achieving accurate control scheme selection through threshold-based decision making.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS10783710B2Configuration of navigational controls in geometric environment
Publication Date: 2020.09.22 INTERNATIONAL BUSINESS MACHINE CORPORATION
  • US10783710B2 patent drawing
  • US10783710B2 patent drawing
  • US10783710B2 patent drawing

AI summary

According to embodiments of the invention, methods, and a computer system for configuring navigational controls in a geometric environment are disclosed. The method may include obtaining a data set for geometric representation on a display, forming one or more reference surfaces, calculating a fit score and a confidence score using one or more of the reference surfaces, and configuring the navigational system to a control scheme when a computational operation on the fit score and the confidence score is outside of a threshold value. The control scheme may be a geometric control scheme, a planar control scheme, and a roaming control scheme.