Multi-Dimensional Data Visualization Using Segmented Windows
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Solution Overview
Problem
Existing tools are inadequate for effectively visualizing parameter-effective data sets with multiple validity dimensions in a user-friendly manner, as they cannot display arbitrarily large numbers of validity dimensions in three-dimensional space, handle non-linear axes, and manage overlapping object states.
Innovation Solution
A system and method that selects a visualization format for each dimension of a multi-dimensional data set, using a processor to generate a graphical user interface with user interface elements for navigation, and employs a serializer to order ambiguous elements and a rule engine to guide dimension combination and serialization, allowing for the display of multiple dimensions within their respective windows with options for format selection and navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If three-dimensional space visualization is used, then spatial representation capability is improved, but the ability to display arbitrarily large numbers of validity dimensions is worsened
Solution Approach 1:
The patent transitions from three-dimensional spatial visualization to a two-dimensional interface with multiple independent windows, each representing a different validity dimension. This allows arbitrary numbers of dimensions to be displayed simultaneously without spatial congestion, as each dimension occupies its own navigable window rather than competing for three-dimensional space.
Solution Approach 2:
The visualization is segmented into multiple independent windows, with each window dedicated to displaying a specific validity dimension. This segmentation allows each dimension to be visualized separately and independently, enabling the system to handle arbitrarily large numbers of validity dimensions without overwhelming the user or consuming excessive visualization space.
2Ease of operation
If linear axis display is used, then ordering capability is improved, but the ability to display non-ordered validity dimensions is worsened
Solution Approach 1:
The patent implements dynamic navigation capabilities within each window, allowing users to move between elements in a validity dimension through forward and backward navigation buttons. This dynamic interaction enables the system to accommodate both ordered and non-ordered dimensions, as users can manually traverse through elements regardless of their inherent ordering, while still benefiting from linear axis display when applicable.
3Loss of information
If overlapping object states are displayed together, then completeness of information is improved, but the clarity and distinguishability of states is worsened
Solution Approach 1:
The patent segments the display into separate windows for different validity dimensions, allowing overlapping object states to be displayed in their respective windows without interfering with each other. Each window maintains its own context and visual hierarchy, ensuring that states within a single dimension remain distinguishable while still presenting complete information across all dimensions.
Solution Approach 2:
The patent introduces navigation buttons as intermediary elements that mediate between overlapping states. These forward and backward navigation buttons allow users to systematically traverse through overlapping object states in a controlled manner, maintaining clarity and distinguishability while preserving information completeness across multiple dimensions.
Data Source
AI summary
A system and method for visualizing a plural dimensional data. One of a plurality of potential visualization formats is selected in a processor for each dimension of a plural dimensional data set. The selected visualization format is used to display the associated dimension on an electronic display. User interface elements are provided to navigate between elements of the plural dimensional data set within the displayed visualization format.