Dataset Navigation Interface with Pivot Zoom and Interactive Ruler
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Solution Overview
Problem
Conventional user interface navigation elements struggle with large and expanding datasets, leading to issues like the sub-pixel-pitch problem and difficulty in maintaining a section of interest while zooming, as they break down in scaling and navigation efficiency.
Innovation Solution
The implementation of a method that includes a pivot control zoom slider, an interactive ruler, and a multi-scale slider to provide consistent control and visual feedback, allowing for effective navigation by adjusting the zoom pivot location, interacting with dataset intervals, and repositioning the dataset within the current view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional user interface navigation elements (scroll bars, zoom sliders) are used for large datasets, then the interface structure remains simple and familiar, but the navigation precision deteriorates due to the sub-pixel-pitch problem where each pixel represents too much data
Solution Approach 1:
The navigation interface is segmented into multiple independent control elements: pan control, zoom control, and focus control. Each control element handles a specific navigation dimension independently, allowing precise control without the sub-pixel-pitch problem. The pan control divides the dataset into manageable sections, the zoom control provides discrete magnification levels, and the focus control maintains attention on specific data regions.
Solution Approach 2:
The patent introduces an intermediary coordinate system that maps between the limited display pixels and the vast dataset. This intermediary layer uses floating-point coordinates and transformation matrices to bridge the gap between screen resolution and data granularity, enabling precise navigation without requiring each pixel to represent a large data portion.
2Ease of operation
If zoom operations are performed from a fixed center pivot location, then the zoom control mechanism remains simple, but the ability to maintain a section of interest deteriorates when the desired section is not near the center
Solution Approach 1:
The zoom pivot location is made dynamic rather than fixed. The system automatically adjusts the pivot point based on the currently focused data section, ensuring that zoom operations center on the relevant area. This dynamic adaptation maintains operational simplicity while reliably keeping the section of interest in view, regardless of its position in the dataset.
Solution Approach 2:
The system implements feedback mechanisms that monitor the position and size of the focused section, then adjust the zoom pivot location accordingly. This feedback loop ensures that zoom operations naturally maintain the section of interest in the viewport, providing reliable section maintenance while keeping the control mechanism simple through automatic adjustment.
3Quantity of substance
If the dataset size expands while maintaining the same display resolution, then the data coverage increases, but the navigation control precision deteriorates as each navigation element pixel maps to larger data portions
Solution Approach 1:
The patent adds dimensional complexity to the navigation system by introducing multiple independent control dimensions (pan, zoom, focus) rather than relying on a single two-dimensional scroll bar. This dimensional expansion allows precise navigation across large datasets by controlling each dimension separately, maintaining navigation precision even as data coverage increases.
Solution Approach 2:
The system dynamically changes navigation parameters including coordinate transformations, pixel-to-data mapping ratios, and control element configurations based on the current dataset size and zoom level. These parameter adjustments ensure that navigation precision is maintained across varying data scales by adapting the mapping relationship between interface elements and data portions.
Data Source
AI summary
One embodiment of the invention sets forth a data navigation engine that generates user interface navigation elements for navigation large and expanding datasets. The user interface navigation elements may include a pivot control zoom slider for adjusting the data resolution with respect to different zoom pivot locations, an interactive ruler for consistent visual feedback and navigation of intervals of data within the dataset, a context bar for viewing the data proximate to a current view, and a multi-scale slider for repositioning the dataset within the current view. These user interface navigation elements provide the end-user with consistent control and visual feedback while navigating the dataset, independent of the size of the dataset or the portion of the dataset displayed within the current view. Therefore, large and expanding datasets can be navigated more effectively relative to prior art approaches.