Immersive Data Visualization Engine for Large Dataset Analysis
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Solution Overview
Problem
Existing methods for analyzing large data sets, such as financial or accounting data, often require users to sift through extensive tabular formats to identify relevant information, making it difficult to quickly comprehend and analyze specific subsets of data.
Innovation Solution
The method generates an immersive media experience visualization of data sets using a visualization engine that transforms data into interactive virtual or augmented reality environments, where data points are represented as objects whose appearance changes based on comparisons to baseline values, allowing users to interactively explore and analyze data in a more immersive and comprehensible manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is displayed in traditional tabular formats, then all data points can be presented, but users cannot quickly identify relevant information and must sift through extensive data
Solution Approach 1:
The patent applies color changes to visual elements in the immersive visualization to indicate different data characteristics and relationships. Objects change color based on their data values, comparisons to baseline values, and hierarchical relationships, enabling users to quickly identify relevant information without sifting through all data points.
Solution Approach 2:
The patent transitions from two-dimensional tabular displays to three-dimensional immersive visualizations. Data points are represented as objects in a 3D virtual environment, allowing users to perceive data relationships spatially rather than linearly, dramatically improving the speed of identifying relevant information.
2Ease of operation
If users analyze subsets of data by selecting relevant portions from tabular formats, then specific analyses can be performed, but the process remains complex and time-consuming
Solution Approach 1:
The patent implements dynamic interaction with data subsets in the immersive environment. Users can dynamically select, filter, and analyze data subsets by interacting with visual objects, and the visualization updates in real-time to reflect the selected subset, making the analysis process intuitive and efficient.
Solution Approach 2:
The immersive visualization acts as an intermediary between the raw data and the user's analysis needs. It provides visual cues and interactive elements that mediate the selection and analysis process, eliminating the need for users to manually navigate through tabular data to identify relevant subsets.
3Measurement precision
If traditional visualization methods are used, then data can be presented, but trends and patterns are difficult to identify quickly
Solution Approach 1:
Color changes are used to highlight trends, patterns, and anomalies in the data. Objects change color based on their relationship to baseline values, their position in hierarchical structures, and their deviation from expected patterns, enabling rapid identification of significant trends without detailed analysis.
Solution Approach 2:
The patent uses curved and organic shapes in the immersive visualization rather than rigid geometric forms. This creates a more natural visual flow that guides user attention along trends and patterns in the data, making them easier to identify and comprehend quickly.
Data Source
AI summary
The present disclosure relates to the generation of immersive media experience visualizations of a data set. An example method generally includes receiving, from a data source, a data set including a plurality of discrete data points summarizing data in the data set. A visualization engine generates an immersive media experience visualization of the data set. The immersive media experience visualization generally includes one or more objects corresponding to each of the plurality of discrete data points, and an appearance of each of the one or more objects is based, at least in part, on a comparison of a data point associated with an object and a baseline value associated with the data point. The visualization engine transmits the generated immersive media experience visualization of the data set to an immersive experience viewer for display.