Dynamic Selection Area Adjustment for CAD Entity Precision
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Solution Overview
Problem
Current CAD systems face difficulties in selecting small entities like edges and vertices due to their small size on the screen, leading to inefficient and time-consuming workflows as users often need to zoom in and out or rely on list-based selections.
Innovation Solution
A computer-implemented method that automatically adjusts the size of the selection area based on continuous pointer movements and the analysis of entities within the selection zone, reducing the area when difficulty in selection is detected to prioritize smaller entities like edges and vertices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed-size selection area is used for entity selection, then the selection process is simple and fast for large entities, but small entities like edges and vertices become difficult to select
Solution Approach 1:
The selection area dynamically adjusts its size based on the detected difficulty of selecting entities. When the system detects that entities are difficult to select (through pointer movement analysis), it automatically reduces the selection area size to improve selection precision, while maintaining a larger size when selection is easy, thus resolving the contradiction between operational simplicity and selection precision.
Solution Approach 2:
The system changes the parameter of selection area size based on detected selection difficulty. By monitoring pointer movement characteristics and entity properties, the system adjusts the selection area diameter to optimize both ease of operation and measurement precision, allowing the same selection mechanism to handle both large and small entities effectively.
2Measurement precision
If the selection area is reduced to improve selection of small entities, then selection precision improves, but the selection process becomes more time-consuming
Solution Approach 1:
The selection area size is dynamically adjusted based on real-time detection of selection difficulty rather than being statically reduced. This allows the system to maintain a larger selection area when entities are easily selectable, preserving fast selection times, while only reducing the area when necessary to achieve precise selection of small entities, thus minimizing time loss.
Solution Approach 2:
The system uses feedback from pointer movement analysis and entity property evaluation to determine when to adjust the selection area size. This feedback mechanism ensures that the selection area is reduced only when selection difficulty is detected, avoiding unnecessary adjustments that would increase selection time, thereby balancing precision improvement with time efficiency.
3Measurement precision
If edges and vertices are given higher selection priority, then small entities become easier to select, but large faces surrounded by edges cannot be selected
Solution Approach 1:
The system dynamically adjusts the selection area size based on the detected difficulty of selecting entities. When a small face surrounded by edges is detected as difficult to select, the selection area is reduced to exclude the surrounding edges and vertices, allowing the face to be selected despite the higher priority given to edges and vertices in the selection algorithm.
Solution Approach 2:
The selection area is locally adjusted to match the specific selection context. By reducing the selection area size in regions where small faces are surrounded by high-priority edges and vertices, the system preserves the ability to select faces while maintaining the higher selection priority for edges and vertices in other contexts, thus resolving the contradiction between selection precision and selection flexibility.
4Measurement precision
If zooming is used to select small entities, then selection precision improves, but workflow efficiency decreases due to additional操作步骤
Solution Approach 1:
Instead of requiring users to manually zoom in and out to select small entities, the system dynamically adjusts the selection area size automatically based on detected selection difficulty. This eliminates the need for zooming operations while maintaining high selection precision, thus preserving workflow efficiency and eliminating the additional操作步骤 associated with manual zooming.
Solution Approach 2:
The system performs the adjustment of selection area size automatically without requiring user intervention or additional操作步骤. By detecting selection difficulty through pointer movement analysis and entity properties, the system self-adjusts the selection parameters to achieve precise selection of small entities, eliminating the need for users to perform zooming operations and maintaining workflow efficiency.
Data Source
AI summary
A computer-implemented method and system automatically adjusts the size of a selection area to aid in a selection of an object generated by a computerized system. The method and system detect a series of movements of a pointer, where the pointer is utilized to select an entity of the object. The series of movements are small and continuous. A set of entities that occupies the selection area is determined and the entities are analyzed for an indication of a level of difficulty in selecting one of the entities. The size of the selection area is reduced when the indication implies that the level of difficulty will be decreased after reducing the size of the selection area.