XR Content Adaptation to Physical Spatial Characteristics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing extended reality (XR) content generation methods do not effectively adapt to the spatial characteristics of physical environments, leading to suboptimal user navigation and experience, especially in environments with limited space.
Innovation Solution
The method involves identifying subsets within a physical environment, determining their spatial characteristics, and generating adapted XR content portions for each subset based on these characteristics, along with providing navigation options that account for the spatial layout.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If XR content is created without adapting to spatial characteristics of the physical environment, then the content generation process is simple and fast, but the user navigation and interaction experience deteriorates in environments with limited space
Solution Approach 1:
The system performs preliminary spatial mapping and characterization of the physical environment before generating XR content. By pre-processing the spatial data to identify navigable areas, obstacles, and spatial characteristics, the system prepares adaptation parameters in advance, allowing efficient content generation that is automatically suited to the environment without requiring real-time adjustments during user interaction.
2Ease of operation
If XR content is adapted to spatial characteristics of each subset within the physical environment, then user navigation and interaction experience is enhanced, but the content generation process becomes more complex and time-consuming
Solution Approach 1:
The physical environment is divided into multiple subsets or zones with distinct spatial characteristics. XR content is generated and adapted specifically for each subset based on its unique properties (size, shape, obstacles, lighting). This segmentation allows the system to manage complexity by treating each subset independently while maintaining overall environmental awareness, reducing the computational burden compared to treating the entire environment as a single unit.
Solution Approach 2:
Different regions of the physical environment receive customized XR content adaptations based on their local spatial characteristics. Each subset receives content scaled and configured according to its specific dimensions, obstacles, and user interaction patterns. This local quality approach ensures optimal user experience in each area while allowing the system to reuse adaptation patterns across similar subsets, reducing overall complexity.
3Ease of operation
If XR content is adapted to spatial characteristics of the physical environment, then user interaction quality improves, but the processing time and computational resources increase
Solution Approach 1:
The system creates simplified spatial representations or models (copies) of the physical environment's key characteristics. These copies capture essential spatial properties (dimensions, obstacles, navigable areas) without requiring complete detailed mapping. XR content adaptation uses these simplified copies instead of full environmental data, significantly reducing processing time while maintaining sufficient accuracy for effective content scaling and placement.
Data Source
AI summary
In some implementations, a method includes: identifying a plurality of subsets associated with a physical environment; determining a set of spatial characteristics for each of the plurality of subsets, wherein a first set of spatial characteristics characterizes dimensions of a first subset and a second set of spatial characteristics characterizes dimensions of a second subset; generating an adapted first extended reality (XR) content portion for the first subset based at least in part on the first set of spatial characteristics; generating an adapted second XR content portion for the second subset based at least in part on the second set of spatial characteristics; and generating one or more navigation options that allow a user to traverse between the first and second subsets based on the first and second sets of spatial characteristics.