Multi-sensory VR Dataset Representation via Voxel Mapping
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Solution Overview
Problem
Traditional data exploration techniques are limited by their reliance on single sensory modalities, requiring highly skilled data scientists and being unable to detect atypical correlations or analyze multi-valued data relationships effectively.
Innovation Solution
A virtual reality system that represents datasets as individual voxels in a three-dimensional environment, where each data attribute is associated with multi-sensory characteristics such as color, volume, pitch, and haptic feedback, allowing users to interact with and explore the data using multiple senses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional single-sensory data exploration techniques are used, then the analysis can be performed with simple tools, but highly skilled data scientists are required and atypical correlations cannot be detected
Solution Approach 1:
The patent transitions from traditional two-dimensional visual data exploration to three-dimensional virtual reality environments. Data points are represented as voxels in 3D space, allowing users to navigate and explore datasets spatially. This dimensional expansion enables detection of correlations and patterns that are not apparent in conventional 2D visualizations, thereby improving measurement precision while maintaining ease of operation for untrained individuals.
Solution Approach 2:
The patent segments complex datasets into individual voxel representations, where each data point becomes a distinct three-dimensional element. This segmentation allows users to interact with and perceive individual data points separately while still understanding their relationships within the broader dataset. The multi-sensory characteristics are also segmented and assigned to different sensory modalities, enhancing the ability to detect correlations without requiring advanced analytical skills.
2Adaptability or versatility
If traditional data exploration methods are used, then computation requirements are lower, but the ability to analyze multi-valued data relationships and detect atypical correlations is limited
Solution Approach 1:
The patent creates a virtual copy of the dataset in three-dimensional virtual reality space. Instead of performing complex computational analyses on the raw data, the system renders visual and sensory representations of the data as voxels. This copying approach allows users to explore data relationships through spatial navigation and multi-sensory perception rather than through computationally intensive algorithms, thereby reducing computation requirements while maintaining high adaptability for detecting correlations and analyzing multi-valued data relationships.
3Ease of operation
If multi-sensory characteristics are assigned to data attributes, then untrained individuals can detect patterns, but the device complexity increases
Solution Approach 1:
The patent implements a universal virtual reality platform that integrates multiple sensory modalities (visual, auditory, haptic) into a single data exploration system. The voxel-based representation serves multiple functions: it visualizes data spatially, encodes multiple data attributes through different sensory characteristics, and enables interactive exploration. This multi-functionality approach consolidates what would otherwise require multiple separate tools and techniques, making the system accessible to untrained individuals while managing device complexity through unified architecture.
Data Source
AI summary
Datasets can be represented in multi-sensory virtual reality environments according to some aspects described herein. For example, a computing system can receive a dataset of previously uncorrelated multivariate data points. Each multivariate data point can include multiple data attributes. The computing system can receive a command specifying associations between the multivariate data points and multi-sensory voxel characteristics. The computing system can generate a three-dimensional virtual reality environment that is comprised of voxels that have multi-sensory voxel characteristics based on the associations and values associated with the data attributes of the multivariate data points. The computing system can then output the three-dimensional virtual reality environment for rendering by a virtual reality subsystem.